Yanru Wang

Dr. Yanru Wang

Chengdu University of Technology
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 January 2021 in Sustainability
Verified
Journal Article
Open access
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YWYanru Wang
Yanru Wang
ZXZhang Xiaojuan
Zhang Xiaojuan
PPPeng Peihao
Peng Peihao
Monitoring the spatio-temporal variation of the land-use/land cover change (LULC) and ecosystem service value (ESV) changes will help achieve regional sustainable development and management. Derong County is a part of the Hengduan Mountains area, the most crucial ecological functional area in China, and LULC has changed tremendously in the past 30 years. However, the effects of LULC changes on ecosystem services is not well understood. Based on 1992, 1995, 2005, 2013, and 2018 remote sensing images, we used visual interpretation to obtain LULC data and used global value coefficients and modified local value coefficients to assess the spatial-temporal changes of ESV and LULC from 1992 to 2018. The results showed that: (1) From 1992 to 2018, shrubland and grassland decreased, while built-up land, snow, forestland, water body, and cropland area increased. (2) The ESV with an overall decrease of 0.25 × 108 yuan, ecological projects have played a positive role in improving ESV. In contrast, the main decrease factor of ESV was the increase in agricultural economic development and urban expansion from 1992 to 2018. (3) The ESV spatial distribution indicated the value density of ESV was on the decline, and with the greatest deterioration in Dianyagong. The highest density of ESV area is distributed in Waka, and the lowest density of ESV area is distributed in Bari. This research points out the important role of Derong County in the regional life support system and provides a scientific reference for the sustainable management of dry-hot valley regions’ land resources and ecosystem services.

22 March 2016 in Analytical and Bioanalytical Chemistry
Verified
Journal Article
Closed access
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YWYanru Wang
Yanru Wang
Peiwu LiPeiwu Li
Peiwu Li
QZQi Zhang
Qi Zhang
XHXiaofeng Hu
Xiaofeng Hu
WZWen Zhang
Wen Zhang

27 August 2014 in RSC Advances
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Journal Article
Open access
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XHXiude Hua
Xiude Hua
Xiaofeng LiuXiaofeng Liu
Xiaofeng Liu
HSHaiyan Shi
Haiyan Shi
YWYanru Wang
Yanru Wang
HKHee Joo Kim
Hee Joo Kim
BHBruce Hammock
Bruce Hammock
An enzyme-linked immunosorbent assay (ELISA) was developed to detect organophosphorus pesticides using a phage-borne peptide that was isolated from a cyclic 8-residue peptide phage library. The IC50 values of the phage ELISA ranged from 1.4 to 92.1 μg L−1 for eight organophosphorus pesticides (parathion-methyl, parathion, fenitrothion, cyanophos, EPN, paraoxon-methyl, paraoxon, fenitrooxon). The sensitivity was improved 120- and 2-fold compared to conventional homologous and heterologous ELISA, respectively. The selectivity of the phage ELISA was evaluated by measuring its cross-reactivity with 23 organophosphorus pesticides, among which eight were the main cross-reactants. The spike recoveries were between 66.1% and 101.6% for the detection of single pesticide residues of parathion-methyl, parathion and fenitrothion in Chinese cabbage, apple and greengroceries, and all of the coefficients of variation were less than or equal to 15.9%. Moreover, the phage ELISA results were validated by gas chromatography. The results indicate that isolating phage-borne peptides from phage display libraries is an alternative method for the development of a heterologous immunoassay and that the developed assay has a lower limit of detection than the chemically synthesized competitor assay.

6 January 2022 in Environmental Science and Pollution Research
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Journal Article
Closed access
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YLYurong Liu
Yurong Liu
YWYanru Wang
Yanru Wang
CLChen Li
Chen Li
JWJiancheng Wang
Jiancheng Wang
HBHairong Bao
Hairong Bao
GZGuangyu Zhai
Guangyu Zhai

1 February 2015 in Journal of Photochemistry and Photobiology A: Chemistry
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Journal Article
Closed access
XCXingmao Chang
Xingmao Chang
GWGang Wang
Gang Wang
CYChunmeng Yu
Chunmeng Yu
YWYanru Wang
Yanru Wang
MHMeixia He
Meixia He
YFYu Fang
Yu Fang

22 August 2024 in IEEE Transactions on Geoscience and Remote Sensing
Verified
Journal Article
Closed access
YZYu Zhang
Yu Zhang
HLHuizeng Liu
Huizeng Liu
FWFei Wang
Fei Wang
PZPing Zhu
Ping Zhu
ZZZhengxin Zhang
Zhengxin Zhang
QLQingquan Li
Qingquan Li
Accurate satellite retrieval of oceanic particulate organic nitrogen (PON) concentrations could contribute to a better and more comprehensive understanding of global marine biogeochemical processes. However, no satisfactory satellite PON retrieval model could be found in the literature. With an attempt to develop applicable PON models, large diverse matchups of synchronous global oceanic in-situ PON measurements and ocean color satellite data were used to develop PON retrieval models using the Gaussian Process Regression (GPR) method for SeaWiFS, Terra-MODIS, MERIS, Aqua-MODIS and SNPP-VIIRS, respectively. The GPR PON models were compared with polynomial PON models based on single bio-optical properties or band index, and further used to retrieve spatiotemporal variations of global oceanic PON concentrations. Combined with the satellite-derived particulate organic carbon (POC) products, the possibility of deriving the particulate organic carbon to nitrogen ratio (POC:PON) was further explored. Results showed that GPR PON models, with R2, RMSE and MAPE ranging from 0.76 to 0.87, 0.15 to 0.18 and 9.19% to 12.59%, respectively, had a comparable performance for both Case-1 and Case-2 waters and outperformed the polynomial PON models. The global PON concentrations derived from different satellite missions were generally consistent, with their mean relative differences all less than 14.70% between Aqua-MODIS and the other four missions. The GPR-derived POC:PON was acceptable, with most relative errors within ±40% compared to in-situ POC:PON. The applicable satellite PON retrieval models and the readily available satellite PON products should be helpful for studying oceanic PON dynamics and ecological processes in marine biogeochemical cycles.