Chunsheng Wu

810 total citations · 1 hit paper
36 papers, 636 citations indexed

About

Chunsheng Wu is a scholar working on Global and Planetary Change, Ecology and Soil Science. According to data from OpenAlex, Chunsheng Wu has authored 36 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 9 papers in Ecology and 9 papers in Soil Science. Recurrent topics in Chunsheng Wu's work include Land Use and Ecosystem Services (14 papers), Soil erosion and sediment transport (8 papers) and Soil and Land Suitability Analysis (7 papers). Chunsheng Wu is often cited by papers focused on Land Use and Ecosystem Services (14 papers), Soil erosion and sediment transport (8 papers) and Soil and Land Suitability Analysis (7 papers). Chunsheng Wu collaborates with scholars based in China, United States and Taiwan. Chunsheng Wu's co-authors include Gaohuan Liu, Chong Huang, Qingsheng Liu, Erfu Dai, Xudong Guan, Guoxia Ma, Wang Jinnan, Weishan Yang, Yongge Zang and Peng Zhang and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Chunsheng Wu

34 papers receiving 627 citations

Hit Papers

Multilevel ecological compensation policy design based on... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chunsheng Wu China 14 306 181 152 137 107 36 636
Dirk Vrebos Belgium 15 334 1.1× 186 1.0× 130 0.9× 110 0.8× 83 0.8× 23 689
Hamere Yohannes Ethiopia 12 462 1.5× 168 0.9× 96 0.6× 186 1.4× 105 1.0× 20 747
Mansoor Leh United States 11 465 1.5× 185 1.0× 214 1.4× 104 0.8× 120 1.1× 20 773
Zhiyuan Yang China 13 323 1.1× 112 0.6× 113 0.7× 67 0.5× 63 0.6× 24 506
Sylvia Herrmann Germany 13 334 1.1× 144 0.8× 67 0.4× 108 0.8× 100 0.9× 18 608
Pei Xu China 12 279 0.9× 89 0.5× 97 0.6× 125 0.9× 42 0.4× 35 509
Jing’an Shao China 16 292 1.0× 118 0.7× 176 1.2× 123 0.9× 88 0.8× 50 746
Junjun Zhi China 12 317 1.0× 217 1.2× 143 0.9× 87 0.6× 185 1.7× 37 690
Zhao Jun China 12 448 1.5× 230 1.3× 97 0.6× 125 0.9× 136 1.3× 40 813

Countries citing papers authored by Chunsheng Wu

Since Specialization
Citations

This map shows the geographic impact of Chunsheng Wu'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 Chunsheng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunsheng Wu more than expected).

Fields of papers citing papers by Chunsheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chunsheng Wu. 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 Chunsheng Wu. The network helps show where Chunsheng Wu may publish in the future.

Co-authorship network of co-authors of Chunsheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chunsheng Wu. A scholar is included among the top collaborators of Chunsheng Wu 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 Chunsheng Wu. Chunsheng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Chunsheng, et al.. (2025). Land use zoning planning based on ecosystem services can improve regional comprehensive benefits. Ecological Indicators. 181. 114420–114420.
2.
Li, Xiaoyun & Chunsheng Wu. (2025). Sensitivity assessment and simulation of ecosystem services in response to land use change in arid regions: Empirical evidence from Xinjiang, China. Ecological Indicators. 171. 113150–113150. 11 indexed citations
5.
Wu, Chunsheng, et al.. (2024). Assessing spatiotemporal heterogeneity of coastal organic nonpoint source pollution via soil erosion in Yellow River Delta, China. Ecological Indicators. 166. 112519–112519. 2 indexed citations
6.
Wu, Chunsheng, et al.. (2024). Multilevel ecological compensation policy design based on ecosystem service flow: A case study of carbon sequestration services in the Qinghai-Tibet Plateau. The Science of The Total Environment. 921. 171093–171093. 41 indexed citations breakdown →
7.
Zang, Yongge, et al.. (2024). Spatiotemporal dynamics of wetlands and their future multi-scenario simulation in the Yellow River Delta, China. Journal of Environmental Management. 353. 120193–120193. 33 indexed citations
8.
Liu, Kun, et al.. (2023). Modeling of Agricultural Nonpoint-Source Pollution Quantitative Assessment: A Case Study in the Mun River Basin, Thailand. Sustainability. 15(13). 10325–10325. 3 indexed citations
9.
Li, Liang, et al.. (2023). Study on the Trade-Offs of Land Functions in the Central Plain of China for Sustainable Development. Land. 12(12). 2125–2125. 2 indexed citations
10.
Zhang, Peng, Erfu Dai, Chunsheng Wu, Jun Hu, & Fang Liu. (2023). Viewing China's escalating heatwaves through the lens of complex networks. Ecological Indicators. 157. 111248–111248. 3 indexed citations
11.
Zhang, Peng, Erfu Dai, Chunsheng Wu, & Jun Hu. (2023). Spatio-temporal patterns of hot extremes in China based on complex network analysis. Climate Dynamics. 62(2). 841–860. 2 indexed citations
12.
Zang, Yongge, et al.. (2023). Spatiotemporal evolution of growing‐season vegetation coverage and its natural‐human drivers in the Yellow River Basin, China. Land Degradation and Development. 34(18). 5849–5862. 5 indexed citations
13.
Liu, Gaohuan, et al.. (2021). Using soil erosion to locate nonpoint source pollution risks in coastal zones: A case study in the Yellow River Delta, China. Environmental Pollution. 283. 117117–117117. 25 indexed citations
14.
Jiang, Hongqiang, Wenjun Wu, Wang Jinnan, et al.. (2021). Mapping global value of terrestrial ecosystem services by countries. Ecosystem Services. 52. 101361–101361. 58 indexed citations
15.
Cui, Baoshan, et al.. (2021). Long-Term Dynamics of Different Surface Water Body Types and Their Possible Driving Factors in China. Remote Sensing. 13(6). 1154–1154. 7 indexed citations
16.
Wu, Chunsheng, Gaohuan Liu, Guoxia Ma, et al.. (2019). Study of the differences in soil properties between the dry season and rainy season in the Mun River Basin. CATENA. 182. 104103–104103. 21 indexed citations
17.
Liu, Xiuwei, Douglas Chesters, Chunsheng Wu, Qing‐Song Zhou, & Chao‐Dong Zhu. (2018). A horizon scan of the impacts of environmental change on wild bees in China. Biodiversity Science. 26(7). 760–765. 4 indexed citations
18.
Liu, Gaohuan, et al.. (2018). Distribution Characteristics and Seasonal Variation of Soil Nutrients in the Mun River Basin, Thailand. International Journal of Environmental Research and Public Health. 15(9). 1818–1818. 35 indexed citations
19.
Guan, Xudong, Gaohuan Liu, Chong Huang, et al.. (2017). An Object-Based Linear Weight Assignment Fusion Scheme to Improve Classification Accuracy Using Landsat and MODIS Data at the Decision Level. IEEE Transactions on Geoscience and Remote Sensing. 55(12). 6989–7002. 21 indexed citations
20.
Zhuang, Shunyao, et al.. (2005). SOIL EROSION RATE ESTIMATION USING 137CS TECHNIQUE IN RED SOIL REGION, SOUTHERN CHINA. Soil Science. 170(2). 120–128. 7 indexed citations

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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