Shouzhi Chen

914 total citations
30 papers, 639 citations indexed

About

Shouzhi Chen is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Shouzhi Chen has authored 30 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 18 papers in Global and Planetary Change and 8 papers in Atmospheric Science. Recurrent topics in Shouzhi Chen's work include Remote Sensing in Agriculture (20 papers), Plant Water Relations and Carbon Dynamics (13 papers) and Climate variability and models (7 papers). Shouzhi Chen is often cited by papers focused on Remote Sensing in Agriculture (20 papers), Plant Water Relations and Carbon Dynamics (13 papers) and Climate variability and models (7 papers). Shouzhi Chen collaborates with scholars based in China, Belgium and Denmark. Shouzhi Chen's co-authors include Yongshuo H. Fu, Yahui Guo, J. Senthilnath, Zhaofei Wu, Xinxi Li, Jing Tang, Davide Cammarano, Mário Cunha, Xuan Zhang and Hongyong Sun and has published in prestigious journals such as Geophysical Research Letters, Global Change Biology and Journal of Hydrology.

In The Last Decade

Shouzhi Chen

27 papers receiving 624 citations

Peers

Countries citing papers authored by Shouzhi Chen

Since Specialization

Citations

This map shows the geographic impact of Shouzhi Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shouzhi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouzhi Chen more than expected).

Fields of papers citing papers by Shouzhi Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shouzhi Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shouzhi Chen. The network helps show where Shouzhi Chen may publish in the future.

Co-authorship network of co-authors of Shouzhi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shouzhi Chen. A scholar is included among the top collaborators of Shouzhi Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shouzhi Chen. Shouzhi Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Divergent Impacts of Precipitation Regimes on Autumn Phenology in the Northern Hemisphere Mid‐ to High‐Latitudes 2025 ·Geophysical Research Letters ·Yonggang Nie, Zhaofei Wu, Shouzhi Chen, (unknown), (unknown), (unknown), Yi Xiao, (unknown), Yongshuo H. Fu	1
2	Shifting optimal preseason length alters temperature effects on leaf senescence 2025 ·Agricultural and Forest Meteorology ·(unknown), Zhaofei Wu, Shouzhi Chen, (unknown), Yongshuo H. Fu	1
3	Increased Growth Temperatures Alter Arctic Plant Responses to Heat Wave and Drought 2025 ·Global Change Biology ·(unknown), (unknown), Riikka Rinnan, (unknown), Eva Rosenqvist, Shouzhi Chen, Yongshuo H. Fu, Jing Tang	1
4	A vegetation phenology dataset developed by integrating multiple sources using the reliability ensemble averaging method 2025 ·Earth system science data ·(unknown), Shouzhi Chen, (unknown), Mingwei Li, (unknown), Yuyu Zhou, Yongshuo H. Fu	1
5	Increasing impacts of compound extreme droughts on vegetation productivity in China 2025 ·Journal of Hydrology ·(unknown), Jinxi Song, Shouzhi Chen, (unknown), (unknown), Dunxian She, Jun Xia, Yongshuo H. Fu	4
6	Integration of the vegetation phenology module improves ecohydrological simulation by the SWAT-Carbon model 2025 ·Hydrology and earth system sciences ·Mingwei Li, Shouzhi Chen, Fanghua Hao, (unknown), Zhaofei Wu, (unknown), Jing Zhang, Yongqiang Zhang, Yongshuo H. Fu	4
7	Predicting grain yield of maize using a new multispectral-based canopy volumetric vegetation index 2024 ·Ecological Indicators ·Yahui Guo, Yongshuo H. Fu, Shouzhi Chen, (unknown), Xuan Zhang, Kirsten M. de Beurs, Yuhong He	8
8	Precise occlusion-aware and feature-level reconstruction for occluded person re-identification 2024 ·Neurocomputing ·(unknown), Hanjun Li, (unknown), Ruizhi Qiao, (unknown), Weijian Ruan, (unknown), (unknown), Shouzhi Chen, (unknown)	5
9	Air and Surface Temperatures Differently Drive Terrestrial Carbon and Water Cycles in the High Latitudes 2024 ·Geophysical Research Letters ·Jing Tang, Shouzhi Chen, (unknown), Riikka Rinnan, Christian Körner, Yongshuo H. Fu	2
10	The Advancement in Spring Vegetation Phenology in the Northern Hemisphere Will Reverse After 2060 Under Future Moderate Warming Scenarios 2024 ·Earth s Future ·(unknown), Shouzhi Chen, Zhaofei Wu, Jing Tang, Yongshuo H. Fu	16
11	A new temperature–photoperiod coupled phenology module in LPJ-GUESS model v4.1: optimizing estimation of terrestrial carbon and water processes 2024 ·Geoscientific model development ·Shouzhi Chen, Yongshuo H. Fu, Mingwei Li, (unknown), (unknown), Jing Tang	4
12	Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images 2022 ·Remote Sensing ·Yahui Guo, Shouzhi Chen, Xinxi Li, Mário Cunha, J. Senthilnath, Davide Cammarano, Yongshuo H. Fu	115
13	Global warming is increasing the discrepancy between green (actual) and thermal (potential) seasons of temperate trees 2022 ·Global Change Biology ·Yongshuo H. Fu, Xiaojun Geng, Shouzhi Chen, Hao Wu, Fanghua Hao, Xuan Zhang, Zhaofei Wu, Jing Zhang, Jing Tang, Yann Vitasse, Constantin M. Zohner, Ivan A. Janssens, Nils Chr. Stenseth, Josep Peñuelas	16
14	Influences of Shifted Vegetation Phenology on Runoff Across a Hydroclimatic Gradient 2022 ·Frontiers in Plant Science ·Shouzhi Chen, Yongshuo H. Fu, Xiaojun Geng, Zengchao Hao, Jing Tang, Xuan Zhang, Zongxue Xu, Fanghua Hao	16
15	Higher temperature sensitivity of flowering than leaf‐out alters the time between phenophases across temperate tree species 2022 ·Global Ecology and Biogeography ·Xiaojun Geng, Yongshuo H. Fu, Shilong Piao, Fanghua Hao, Hans J. De Boeck, Xuan Zhang, Shouzhi Chen, Yahui Guo, Janet S. Prevéy, Yann Vitasse, Josep Peñuelas, Ivan A. Janssens, Nils Chr. Stenseth	12
16	Informing the SWAT model with remote sensing detected vegetation phenology for improved modeling of ecohydrological processes 2022 ·Journal of Hydrology ·Shouzhi Chen, Yongshuo H. Fu, Zhaofei Wu, (unknown), Zengchao Hao, Yahui Guo, Xiaojun Geng, Xiaoyan Li, Xuan Zhang, (unknown), Jing Tang, Vijay P. Singh, Xuesong Zhang	44
17	Vegetation phenology and its ecohydrological implications from individual to global scales 2022 ·Geography and sustainability ·Shouzhi Chen, Yongshuo H. Fu, Fanghua Hao, Xiaoyan Li, Sha Zhou, Changming Liu, Jing Tang	23
18	Atmospheric brightening counteracts warming‐induced delays in autumn phenology of temperate trees in Europe 2021 ·Global Ecology and Biogeography ·Zhaofei Wu, Shouzhi Chen, Hans J. De Boeck, Nils Chr. Stenseth, Jing Tang, Yann Vitasse, Shuxin Wang, Constantin M. Zohner, Yongshuo H. Fu	36
19	Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform 2021 ·Remote Sensing ·Yahui Guo, Shouzhi Chen, Zhaofei Wu, Shuxin Wang, Christopher Bryant, J. Senthilnath, Mário Cunha, Yongshuo H. Fu	19
20	Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods 2020 ·Sensors ·Yahui Guo, Guodong Yin, Hongyong Sun, Hanxi Wang, Shouzhi Chen, J. Senthilnath, Jingzhe Wang, Yongshuo H. Fu	68

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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