Yifeng Qin

Dr. Yifeng Qin

School of Design, Shanghai Jiaotong University, Shanghai, China
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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10 January 2023 in Environmental Research
Verified
Journal Article
Closed access
RWRenming Wu
Renming Wu
MCMingsheng Chen
Mingsheng Chen
YQYifeng Qin
Yifeng Qin
SLShuchang Liu
Shuchang Liu
XLXudong Li
Xudong Li

22 May 2025 in Sustainable Cities and Society
Verified
Journal Article
Closed access
CYCaihua Yang
Caihua Yang
YQYifeng Qin
Yifeng Qin
HWHao Wu
Hao Wu
YZYangling Zhao
Yangling Zhao
SCShengquan Che
Shengquan Che

4 May 2025 in Sustainable Cities and Society
Verified
Journal Article
Closed access
YGYuqian Guo
Yuqian Guo
XSXiwei Shen
Xiwei Shen
YQYifeng Qin
Yifeng Qin
SCShengquan Che
Shengquan Che
MWMinghao Wei
Minghao Wei
LWLing Wang
Ling Wang

5 December 2024 in Land
Verified
Journal Article
Open access
PDF file
HWHao Wu
Hao Wu
CYCai hua Yang
Cai hua Yang
ALanze liang
anze liang
YQYifeng Qin
Yifeng Qin
Dobri DunchevDobri Dunchev
Dobri Dunchev
Shengquan CheShengquan Che
Shengquan Che
Combating climate change by increasing urban carbon storage is one of the critical issues which urban policymakers must address. Understanding the characteristics and driving factors of carbon storage changes during urbanization can assist urban managers in formulating responsive land use policies. This study employs the INVEST model to evaluate carbon storage in Shanghai from 2000 to 2020, analyzing land use changes and their carbon impacts. It analyzes the transformation of land use in Shanghai during the same period and its impact on carbon storage. Using a 1 km grid for sampling, this study examines the spatiotemporal distribution patterns of carbon storage in Shanghai. Furthermore, it employs linear regression to discuss the social and economic drivers influencing carbon storage in the city. Carbon storage in Shanghai, predominantly from cultivated land and artificial surfaces, increased from 16.78 Mt in 2000 to 18.40 Mt in 2020, with an annual rise of 0.81 Mt. The spatial distribution of carbon storage exhibited a stable southeast-northwest pattern, with variations in dispersion between the north-south and east-west directions. The distribution of carbon storage shifted from a bimodal to a unimodal pattern, indicating an overall increase. There was a significant positive correlation between carbon storage and both the per capita green space area and the industrial output value, which can be attributed to Shanghai’s policies on green industrial development. This research aids in formulating land use policies to enhance urban carbon storage.

12 November 2024 in Agricultural Water Management
Verified
Journal Article
Open access
LLLijie Luo
Lijie Luo
HXHe Xiaojuan
He Xiaojuan
YQYifeng Qin
Yifeng Qin
YLYaoze Liu
Yaoze Liu
YWYizhao Wu
Yizhao Wu
XLXudong Li
Xudong Li

1 January 2021 in Bioresource Technology
Verified
Journal Article
Closed access
DXDi Xu
Di Xu
YQYifeng Qin
Yifeng Qin
YFYunqing Fang
Yunqing Fang
MCMingsheng Chen
Mingsheng Chen
XLXudong Li
Xudong Li
JCJunmeng Cai
Junmeng Cai