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To address problems in remote sensing image change detection, this study proposes a method for identifying spurious changes based on an eco-geographical zoning knowledge base and crowdsourced data mining. After preliminary change detection using the super pixel cosegmentation method, eco-geographical zoning is introduced, and the rules of spurious change are collected based on the knowledge of expert interpreters, and from statistics on existing land cover products according to each eco-geographical zone. Uncertain changed patches with a high possibility of spurious change according to the eco-geographical zoning rule were published in the form of a map service on an online platform, and then crowd tagging information on spurious changed patches was collected. The Hyperlink-Induced Topic Search (HITS) algorithm was used to calculate the spurious change degree of changed patches. We selected the northern part of Laos as the experimental area and the Chinese GF-1 Wide Field View (WFV) images for change detection to verify the effectiveness of the method. The results show that the accuracy of change detection improves by 23% after removing the spurious changes. Spurious changes caused by clouds, river water turbidity, spectral differences in cultivated land before and after harvest, and changes in shrubs, grassland, and forest density, can be removed using an eco-geographical zoning knowledge base and crowdsourced data mining methods.
Ling Zhu; Dejun Gao; Tao Jia; Jingyi Zhang. Using Eco-Geographical Zoning Data and Crowdsourcing to Improve the Detection of Spurious Land Cover Changes. Remote Sensing 2021, 13, 3244 .
AMA StyleLing Zhu, Dejun Gao, Tao Jia, Jingyi Zhang. Using Eco-Geographical Zoning Data and Crowdsourcing to Improve the Detection of Spurious Land Cover Changes. Remote Sensing. 2021; 13 (16):3244.
Chicago/Turabian StyleLing Zhu; Dejun Gao; Tao Jia; Jingyi Zhang. 2021. "Using Eco-Geographical Zoning Data and Crowdsourcing to Improve the Detection of Spurious Land Cover Changes." Remote Sensing 13, no. 16: 3244.
A robust bus transit network is of fundamental importance for sustainable development by alleviating urban problems. This paper aims to explore the robustness of 57 bus transit networks from the aspect of transferability. Bus transit networks are constructed using open-source data from the same data source for ensuring a consistent comparison, and the network robustness is analyzed using giant component (GC) to represent the maximum scale of transferability and network efficiency (NE) that characterizes the overall efficiency of transferability. (1) The results reveal a universal heavy-tailed distribution of network betweenness irrespective of cities and indicate target attack is more destructive to network robustness than random attack. (2) Different cities have different degrees of robustness, where most large cities tend to be more vulnerable than small cities and NE is more likely to be affected by target attack than GC. (3) The impact of target attack may become weaker than random attack after removing a certain percentage of nodes, which varies in different cities. (4) Thereafter, we present clusters of cities according to similarities of their network robustness. Thus, our comparative results can benefit transit planners and policymakers by enhancing the robustness of bus transit networks.
Tao Jia; Wenxuan Liu; Xintao Liu. A cross-city exploratory analysis of the robustness of bus transit networks using open-source data. Physica A: Statistical Mechanics and its Applications 2021, 580, 126133 .
AMA StyleTao Jia, Wenxuan Liu, Xintao Liu. A cross-city exploratory analysis of the robustness of bus transit networks using open-source data. Physica A: Statistical Mechanics and its Applications. 2021; 580 ():126133.
Chicago/Turabian StyleTao Jia; Wenxuan Liu; Xintao Liu. 2021. "A cross-city exploratory analysis of the robustness of bus transit networks using open-source data." Physica A: Statistical Mechanics and its Applications 580, no. : 126133.
How to reveal the hierarchical structures of urban space has long posed a challenge for researchers. Yet, revealing such structures is of fundamental importance to our understanding of multiscale urban organization. This study, therefore, built a spatial interaction network based on a massive body of human movement data to derive the hierarchical organization of ranked urban clusters. These urban clusters were statistically robust and significant. They were ranked at different levels by fusing network community metrics, urban functional metrics, and road network topological metrics. To verify our methods, experiments were conducted in downtown Wuhan, China, using taxicab trajectory data to construct a spatial interaction network. We derived three levels of urban clusters: (1) geographically cohesive, (2) observable in forms different from government-defined boundaries, and (3) constrained or affected by natural boundaries. We also calculated ranking scores for the urban clusters at different levels based on their structural and functional roles in urban space. Finally, we demonstrate that our ranking scores correlate better with socioeconomic indicators than is the case with other methods. Thus, our method can enrich research on delineating ranked hierarchical urban clusters while the results can provide decision-making support for urban planning and management.
Tao Jia; Xi Luo; Xin Li. Delineating a hierarchical organization of ranked urban clusters using a spatial interaction network. Computers, Environment and Urban Systems 2021, 87, 101617 .
AMA StyleTao Jia, Xi Luo, Xin Li. Delineating a hierarchical organization of ranked urban clusters using a spatial interaction network. Computers, Environment and Urban Systems. 2021; 87 ():101617.
Chicago/Turabian StyleTao Jia; Xi Luo; Xin Li. 2021. "Delineating a hierarchical organization of ranked urban clusters using a spatial interaction network." Computers, Environment and Urban Systems 87, no. : 101617.
There is a growing awareness of the benefits of a sense of community (SoC) in the urban context. However, the current conceptual framework primarily focuses on testing the direct effects of individual-level predictors on SoC, while the cross-community variations have not been fully elucidated. Combining the built environment attributes (primarily urban amenities and street greenery) with cross-sectional survey data (n = 786) from 24 communities in Hankow, China, this paper utilizes the two level hierarchical linear model to examine the multivariate effects of the individual-level perceptual factors on SoC and capture the moderating influence of the community-level built environment attributes. According to the result, the three perceptual factors on the individual level were positively associated with SoC. Street greenery presented a direct and positive influence on the average SoC score across communities and reduced the positive effect of perceived environment quality on SoC. Some particular categories of urban amenities appear to enhance the positive effect of perceived environment quality on SoC, while some of them reduce the positive effect of safety on SoC. Our investigation enriches the conceptual framework of the existing literature. Based on the findings, specific policy implications were made accordingly.
Xin Li; Zhigang Li; Tao Jia; Penggao Yan; Dekai Wang; Guyi Liu. The sense of community revisited in Hankow, China: Combining the impacts of perceptual factors and built environment attributes. Cities 2021, 111, 103108 .
AMA StyleXin Li, Zhigang Li, Tao Jia, Penggao Yan, Dekai Wang, Guyi Liu. The sense of community revisited in Hankow, China: Combining the impacts of perceptual factors and built environment attributes. Cities. 2021; 111 ():103108.
Chicago/Turabian StyleXin Li; Zhigang Li; Tao Jia; Penggao Yan; Dekai Wang; Guyi Liu. 2021. "The sense of community revisited in Hankow, China: Combining the impacts of perceptual factors and built environment attributes." Cities 111, no. : 103108.
Land cover products obtained from remote sensing image classification inevitably contain a large number of false classification or uncertain pixels because of spectral confusion, image resolution limitation, and ground object complexity. The confusion matrix used to evaluate the classification accuracy cannot reflect the spatial variation. The information provided to users of land cover products is incomplete and uncertain. In this study, a method is presented to evaluate and improve the accuracy of land cover classification products by coupling Geo-Eco zoning and Markov chain geoscience statistical simulation. Validation points collected from various sources are used in the model calculation and accuracy verification of results. The pre-classified image that needs to be improved and Geo-Eco zoning attribute data are used as auxiliary data for co-simulation. Results show that the accuracy of Globeland30 data can be improved by more than 10% by coupling Geo-Eco zoning and Markov chain geostatistical simulation.
Ling Zhu; Jing Li; Yixuan La; Tao Jia. Improving the Accuracy of Remote Sensing Land Cover Classification by GEO-ECO Zoning Coupled with Geostatistical Simulation. Applied Sciences 2021, 11, 553 .
AMA StyleLing Zhu, Jing Li, Yixuan La, Tao Jia. Improving the Accuracy of Remote Sensing Land Cover Classification by GEO-ECO Zoning Coupled with Geostatistical Simulation. Applied Sciences. 2021; 11 (2):553.
Chicago/Turabian StyleLing Zhu; Jing Li; Yixuan La; Tao Jia. 2021. "Improving the Accuracy of Remote Sensing Land Cover Classification by GEO-ECO Zoning Coupled with Geostatistical Simulation." Applied Sciences 11, no. 2: 553.
Wuhan encountered a serious attack in the first round of the coronavirus disease 2019 (COVID-19) pandemic, which has resulted in a public health social impact, including public mental health. Based on the Weibo help data, we inferred the spatial distribution pattern of the epidemic situation and its impacts. Seven urban factors, i.e., urban growth, general hospital, commercial facilities, subway station, land-use mixture, aging ratio, and road density, were selected for validation with the ordinary linear model, in which the former six factors presented a globally significant association with epidemic severity. Then, the geographically weighted regression model (GWR) was adopted to identify their unevenly distributed effects in the urban space. Among the six factors, the distribution and density of major hospitals exerted significant effects on epidemic situation. Commercial facilities appear to be the most prevalently distributed significant factor on epidemic situation over the city. Urban growth, in particular the newly developed residential quarters with high-rise buildings around the waterfront area of Hanyang and Wuchang, face greater risk of the distribution. The influence of subway stations concentrates at the adjacency place where the three towns meet and some near-terminal locations. The aging ratio of the community dominantly affects the hinterland of Hankou to a broader extent than other areas in the city. Upon discovering the result, a series of managerial implications that coordinate various urban factors were proposed. This research may contribute toward developing specific planning and design responses for different areas in the city based on a better understanding of the occurrence, transmission, and diffusion of the COVID-19 epidemic in the metropolitan area.
Xin Li; Lin Zhou; Tao Jia; Ran Peng; Xiongwu Fu; Yuliang Zou. Associating COVID-19 Severity with Urban Factors: A Case Study of Wuhan. International Journal of Environmental Research and Public Health 2020, 17, 6712 .
AMA StyleXin Li, Lin Zhou, Tao Jia, Ran Peng, Xiongwu Fu, Yuliang Zou. Associating COVID-19 Severity with Urban Factors: A Case Study of Wuhan. International Journal of Environmental Research and Public Health. 2020; 17 (18):6712.
Chicago/Turabian StyleXin Li; Lin Zhou; Tao Jia; Ran Peng; Xiongwu Fu; Yuliang Zou. 2020. "Associating COVID-19 Severity with Urban Factors: A Case Study of Wuhan." International Journal of Environmental Research and Public Health 17, no. 18: 6712.
Understanding the concept of place is critically important for urban design and place-making practice, and this research attempted to investigate the pathways by which perceived urban design qualities (PUDQs) influence placeness factors in the Chinese context. Twelve hypotheses were developed and combined in a structural equation model for validation. The Tanhualin historical district in Wuhan, China was selected for the analysis. As a result, place attachment was verified as a critical bridge factor that mediated the influence of PUDQs on place satisfaction. Among the five selected PUDQs, walkability and space quality were revealed as the most influential factors associated with place attachment and place satisfaction. Accessibility was actually indirectly beneficial to place-making via the mediation of walkability. Corresponding implications and strategies were discussed to maintain the sense of place for historic districts.
Xin Li; Tao Jia; Anne Lusk; Peter Larkham. Rethinking place-making: aligning placeness factors with perceived urban design qualities (PUDQs) to improve the built environment in historical districts. URBAN DESIGN International 2020, 25, 338 -356.
AMA StyleXin Li, Tao Jia, Anne Lusk, Peter Larkham. Rethinking place-making: aligning placeness factors with perceived urban design qualities (PUDQs) to improve the built environment in historical districts. URBAN DESIGN International. 2020; 25 (4):338-356.
Chicago/Turabian StyleXin Li; Tao Jia; Anne Lusk; Peter Larkham. 2020. "Rethinking place-making: aligning placeness factors with perceived urban design qualities (PUDQs) to improve the built environment in historical districts." URBAN DESIGN International 25, no. 4: 338-356.
Nighttime light data have been proven to be valuable for socioeconomic studies. However, they are not only affected by anthropogenic factors but also by physical factors, and previous studies have rarely examined these diverse variables in a systematic way that explains differences in nighttime lights across different cities. In this paper, hierarchical linear models at two levels of city and province were developed to investigate the nighttime lights effect on cross-level factors. An experiment was conducted for 281 prefecture cities in Mainland China using orbital satellite data in 2016. (1) There exist significant differences among city average lights, of which 49.9% is caused at the provincial level, indicating the factors at the provincial level cannot be ignored. (2) Economy-energy-infrastructure and demography factors have a significant positive lights effect. Meanwhile, industry-information and living-standard factors at the provincial level can further significantly increase these differences by 18.30% and 29.01%, respectively. (3) The natural-greenness factor displayed a significant negative lights effect, and its interaction with natural-ecology will continue to decrease city lights by 11.99%. However, artificial-greenness is an unreliable city-level factor explaining lights variations. (4) As for the negative lights effect of elevation and latitude, these become significant in a multivariate context and contribute lights indirectly. (5) The two-level hierarchical linear models are statistically significant at the level of 10%, and compared with the null model, the explained variances on city lights can be improved by 70% at the city level and 90% at the provincial level in the final mixed effect model.
Tao Jia; Kai Chen; Xin Li. Exploring the Factors Controlling Nighttime Lights from Prefecture Cities in Mainland China with the Hierarchical Linear Model. Remote Sensing 2020, 12, 2119 .
AMA StyleTao Jia, Kai Chen, Xin Li. Exploring the Factors Controlling Nighttime Lights from Prefecture Cities in Mainland China with the Hierarchical Linear Model. Remote Sensing. 2020; 12 (13):2119.
Chicago/Turabian StyleTao Jia; Kai Chen; Xin Li. 2020. "Exploring the Factors Controlling Nighttime Lights from Prefecture Cities in Mainland China with the Hierarchical Linear Model." Remote Sensing 12, no. 13: 2119.
Wuhan encountered a serious attack in the first round of the COVID-19 pandemic which has resulted in serious worldwide consequences politically and economically. Based on the Weibo help data, we inferred the spatial distribution pattern of the epidemic situation and its impacts. Seven urban factors, i.e. urban growth, general hospital, commercial facilities, subway station, landuse mixture, aging ratio, and road density, were selected for validation with the ordinary linear model, and the former six presented globally significant association with the epidemic severity; thereafter, the geographically weighted regression model was further adopted for local test to identify their unevenly distributed effects in urban space. Among the six, the place where general hospitals exert effects on epidemic situation highly is associated with their distribution and density; commercial facilities appear the most prevalently distributed factor over the city; newly developed residential quarters with high-rise buildings face greater risks, mainly distributed around the waterfront area of Hanyang and Wuchang; the influence of subway stations concentrates at the adjacency place where the three towns meet and near-terminal locations; aging ratio dominantly affects the hinterland of Hankou in a broader extent than other areas in the city. Upon the result, a series of managerial implications that coordinate various urban factors have been proposed. This research is conductive to developing specific planning and design responses for different areas in the city based on a better understanding of the occurrence, transmission, and diffusion of the COVID-19 epidemic in the metropolitan area.
Xin Li; Lin Zhou; Tao Jia; Ran Peng; Xiongwu Fu; Yuliang Zou. Associating the COVID-19 Severity with Urban Factors: A Case Study of Wuhan. 2020, 1 .
AMA StyleXin Li, Lin Zhou, Tao Jia, Ran Peng, Xiongwu Fu, Yuliang Zou. Associating the COVID-19 Severity with Urban Factors: A Case Study of Wuhan. . 2020; ():1.
Chicago/Turabian StyleXin Li; Lin Zhou; Tao Jia; Ran Peng; Xiongwu Fu; Yuliang Zou. 2020. "Associating the COVID-19 Severity with Urban Factors: A Case Study of Wuhan." , no. : 1.
Forests have potential economic value and play a significant role in maintaining ecological balance. Considering its outdated and incomplete forest statistics, the Kyrgyzstan Republic urgently needs a forest cover map for assessing its current forest resources and assisting national policies on improving rural livelihood and sustainability. This study adopted a hybrid fusion strategy to develop a forest cover map for the Kyrgyzstan Republic with improved accuracy. The fusion strategy uses the merits of the GlobeLand30 in 2010 and the USGS TreeCover2010, the benefits of auxiliary geographic information, and the advantages of the stacking learning method in classification. Additionally, we explored the influence of different forest definitions, based on the tree cover percentage value in the USGS TreeCover2010, on the accuracy of forest cover. Results suggested that the accuracy of our model can be improved significantly by including auxiliary geographic features and feeding the optimal size of training samples. Thereafter, using our model, forest cover maps were derived at different tree cover threshold values in the USGS TreeCover2010. Importantly, the forest cover map at the tree cover threshold value of 40% was determined as the most accurate one with the kappa value of 0.89, whose spatial extent constitutes about 2.4% of the entire territory. This estimated forest cover percentage suggests a low estimation of forest resources based on rigorous definition, which can be valuable for reviewing and amending the current national forest policies.
Tao Jia; Yuqian Li; Wenzhong Shi; Ling Zhu. Deriving a Forest Cover Map in Kyrgyzstan Using a Hybrid Fusion Strategy. Remote Sensing 2019, 11, 2325 .
AMA StyleTao Jia, Yuqian Li, Wenzhong Shi, Ling Zhu. Deriving a Forest Cover Map in Kyrgyzstan Using a Hybrid Fusion Strategy. Remote Sensing. 2019; 11 (19):2325.
Chicago/Turabian StyleTao Jia; Yuqian Li; Wenzhong Shi; Ling Zhu. 2019. "Deriving a Forest Cover Map in Kyrgyzstan Using a Hybrid Fusion Strategy." Remote Sensing 11, no. 19: 2325.
Movement patterns of intra-urban goods/things and the ways they differ from human mobility and traffic flow patterns have seldom been explored due to data access and methodological limitations, especially from systemic and long timescale perspectives. However, urban logistics big data are increasingly available, enabling unprecedented spatial and temporal resolutions to this issue. This research proposes an analytical framework for exploring intra-urban goods movement patterns by integrating spatial analysis, network analysis and spatial interaction analysis. Using daily urban logistics big data (over 10 million orders) provided by the largest online logistics company in Hong Kong (GoGoVan) from 2014 to 2016, we analyzed two spatial characteristics (displacement and direction) of urban goods movement. Results showed that the distribution of goods displaceFower law or exponential distribution of human mobility trends. The origin–destination flows of goods were used to build a spatially embedded network, revealing that Hong Kong became increasingly connected through intra-urban freight movement. Finally, spatial interaction characteristics were revealed using a fitting gravity model. Distance lacked substantial influence on the spatial interaction of goods movement. These findings have policy implications to intra-urban logistics and urban transport planning.
Pengxiang Zhao; Xintao Liu; Wenzhong Shi; Tao Jia; Wengen Li; Min Chen. An empirical study on the intra-urban goods movement patterns using logistics big data. International Journal of Geographical Information Science 2018, 34, 1089 -1116.
AMA StylePengxiang Zhao, Xintao Liu, Wenzhong Shi, Tao Jia, Wengen Li, Min Chen. An empirical study on the intra-urban goods movement patterns using logistics big data. International Journal of Geographical Information Science. 2018; 34 (6):1089-1116.
Chicago/Turabian StylePengxiang Zhao; Xintao Liu; Wenzhong Shi; Tao Jia; Wengen Li; Min Chen. 2018. "An empirical study on the intra-urban goods movement patterns using logistics big data." International Journal of Geographical Information Science 34, no. 6: 1089-1116.
With the enforcement of emissions standards and fuel-economy standards in Mainland China, it is both important and interesting to see how these recent emissions reduction strategies affected the spatiotemporal patterns of emissions over the period 2011–2015, which have rarely been examined in previous studies. This study aimed to fill this gap by estimating and analyzing vehicle emissions patterns to support the development of emissions reduction strategies. We established emissions inventories for Mainland China and individual provinces using statistical data from official yearbooks. The aggregated results showed that emissions of greenhouse gas increased slowly and emissions of pollutants decreased sharply. The individual results showed that there was an imbalance in the distribution of emissions, with high total emissions and emissions per inhabitant in developed provinces and high emissions per unit GDP in developing provinces. Specifically, light passenger cars and heavy-duty trucks contributed more than 50% of emissions, and their emissions were statistically spatially auto-correlated, which might hint that there were inherent spatial clustering patterns among emissions. Thereafter, a self-organizing map was used to cluster individual provinces, and indicated that a few provinces can be clustered together according to the similarity of their emissions patterns. Finally, we found that the influences of socioeconomic factors on emissions varied across space, where emissions in northeastern provinces were more likely to be affected by population and those in southwestern provinces tended to be influenced by GDP. These findings are believed to be useful for the development of emissions reduction strategies for sustainable development.
Tao Jia; Qi Li; Wenzhong Shi. Estimation and analysis of emissions from on-road vehicles in Mainland China for the period 2011–2015. Atmospheric Environment 2018, 191, 500 -512.
AMA StyleTao Jia, Qi Li, Wenzhong Shi. Estimation and analysis of emissions from on-road vehicles in Mainland China for the period 2011–2015. Atmospheric Environment. 2018; 191 ():500-512.
Chicago/Turabian StyleTao Jia; Qi Li; Wenzhong Shi. 2018. "Estimation and analysis of emissions from on-road vehicles in Mainland China for the period 2011–2015." Atmospheric Environment 191, no. : 500-512.
Comprehensive understanding of the built environment, especially the urban form, is a prerequisite for building a smart city. Data analytics of urban fabric metrics using quantitative methods is critical to understanding a city’s complexity. This paper aims to study urban fabric using comprehensive computation methods. A series of morphological indexes of urban blocks are established to measure the blocks’ overall features and subtle differences. This study uses multiple statistical methods with computation techniques and machine learning to fulfill factor analysis and clustering to classify major block types and their spatial distribution, and this study aims to precisely position the important continuous zone and fracture locations within the study area based on a geo-information system (GIS), effectively revealing the potential morphological order of different block types in the urban fabric. The study provides accurate basis and technical support for the optimization of urban construction. It has important and practical significance for promoting the scientific and reasonable implementation of a new type of urbanization.
Xin Li; Shidan Cheng; ZhiHan Lv; Houbing Song; Tao Jia; Ning Lu. Data analytics of urban fabric metrics for smart cities. Future Generation Computer Systems 2018, 107, 871 -882.
AMA StyleXin Li, Shidan Cheng, ZhiHan Lv, Houbing Song, Tao Jia, Ning Lu. Data analytics of urban fabric metrics for smart cities. Future Generation Computer Systems. 2018; 107 ():871-882.
Chicago/Turabian StyleXin Li; Shidan Cheng; ZhiHan Lv; Houbing Song; Tao Jia; Ning Lu. 2018. "Data analytics of urban fabric metrics for smart cities." Future Generation Computer Systems 107, no. : 871-882.
Human activity hotspots are the clusters of activity locations in space and time, and a better understanding of their functionality would be useful for urban land use planning and transportation. In this article, using trajectory data, we aim to infer the functionality of human activity hotspots from their scaling pattern in a reliable way. Specifically, a large number of stopping locations are extracted from trajectory data, which are then aggregated into activity hotspots. Activity hotspots are found to display scaling patterns in terms of the sublinear scaling relationships between the number of stopping locations and the number of points of interest (POIs), which indicates economies of scale of human interactions with urban land use. Importantly, this scaling pattern remains stable over time. This finding inspires us to devise an allometric ruler to identify the activity hotspots, whose functionality could be reliably estimated using the stopping locations. Thereafter, a novel Bayesian inference model is proposed to infer their urban functionality, which examines the spatial and temporal information of stopping locations covering 75 days. Experimental results suggest that the functionality of identified activity hotspots are reliably inferred by stopping locations, such as the railway station.
Tao Jia; Zheng Ji. Understanding the Functionality of Human Activity Hotspots from Their Scaling Pattern Using Trajectory Data. ISPRS International Journal of Geo-Information 2017, 6, 341 .
AMA StyleTao Jia, Zheng Ji. Understanding the Functionality of Human Activity Hotspots from Their Scaling Pattern Using Trajectory Data. ISPRS International Journal of Geo-Information. 2017; 6 (11):341.
Chicago/Turabian StyleTao Jia; Zheng Ji. 2017. "Understanding the Functionality of Human Activity Hotspots from Their Scaling Pattern Using Trajectory Data." ISPRS International Journal of Geo-Information 6, no. 11: 341.
Zhenghua Hu; Tao Jia; Guofeng Wang; Jiye Wang; Lingkui Meng. Computing a hierarchy favored optimal route in a Voronoi-based road network with multiple levels of detail. International Journal of Geographical Information Science 2017, 31, 2216 -2233.
AMA StyleZhenghua Hu, Tao Jia, Guofeng Wang, Jiye Wang, Lingkui Meng. Computing a hierarchy favored optimal route in a Voronoi-based road network with multiple levels of detail. International Journal of Geographical Information Science. 2017; 31 (11):2216-2233.
Chicago/Turabian StyleZhenghua Hu; Tao Jia; Guofeng Wang; Jiye Wang; Lingkui Meng. 2017. "Computing a hierarchy favored optimal route in a Voronoi-based road network with multiple levels of detail." International Journal of Geographical Information Science 31, no. 11: 2216-2233.
Hongyu Zhen; Zuosheng Peng; Lintao Hou; Tao Jia; Qi Li; Qiong Hou. Comparative study on triphenylamine-based bi-armed and four-armed small molecule donors for solution processed organic solar cells. Dyes and Pigments 2015, 113, 451 -457.
AMA StyleHongyu Zhen, Zuosheng Peng, Lintao Hou, Tao Jia, Qi Li, Qiong Hou. Comparative study on triphenylamine-based bi-armed and four-armed small molecule donors for solution processed organic solar cells. Dyes and Pigments. 2015; 113 ():451-457.
Chicago/Turabian StyleHongyu Zhen; Zuosheng Peng; Lintao Hou; Tao Jia; Qi Li; Qiong Hou. 2015. "Comparative study on triphenylamine-based bi-armed and four-armed small molecule donors for solution processed organic solar cells." Dyes and Pigments 113, no. : 451-457.
Yu-Guang Liu; Tao Jia; Meng Liu; Xin-Gang Li; Shu-Gan Zhu; Cheng-Yuan Wu. [Type and its clinical characteristics of traumatic subdural hydroma]. Zhonghua wai ke za zhi [Chinese journal of surgery] 2003, 41, 1 .
AMA StyleYu-Guang Liu, Tao Jia, Meng Liu, Xin-Gang Li, Shu-Gan Zhu, Cheng-Yuan Wu. [Type and its clinical characteristics of traumatic subdural hydroma]. Zhonghua wai ke za zhi [Chinese journal of surgery]. 2003; 41 (10):1.
Chicago/Turabian StyleYu-Guang Liu; Tao Jia; Meng Liu; Xin-Gang Li; Shu-Gan Zhu; Cheng-Yuan Wu. 2003. "[Type and its clinical characteristics of traumatic subdural hydroma]." Zhonghua wai ke za zhi [Chinese journal of surgery] 41, no. 10: 1.