Fengqin Yan

2.6k total citations · 2 hit papers
71 papers, 1.9k citations indexed

About

Fengqin Yan is a scholar working on Global and Planetary Change, Ecology and Management, Monitoring, Policy and Law. According to data from OpenAlex, Fengqin Yan has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Global and Planetary Change, 31 papers in Ecology and 18 papers in Management, Monitoring, Policy and Law. Recurrent topics in Fengqin Yan's work include Land Use and Ecosystem Services (39 papers), Urban Heat Island Mitigation (13 papers) and Coastal and Marine Management (11 papers). Fengqin Yan is often cited by papers focused on Land Use and Ecosystem Services (39 papers), Urban Heat Island Mitigation (13 papers) and Coastal and Marine Management (11 papers). Fengqin Yan collaborates with scholars based in China, Australia and United States. Fengqin Yan's co-authors include Shuwen Zhang, Lingxue Yu, Fenzhen Su, Chaobin Yang, Jiuchun Yang, Kun Bu, Xuege Wang, Liping Chang, Tingxiang Liu and Ye Liu and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Journal of Hydrology.

In The Last Decade

Fengqin Yan

66 papers receiving 1.9k citations

Hit Papers

COVID-19: Challenges to GIS with Big Data 2020 2026 2022 2024 2020 2025 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengqin Yan China 22 1.1k 557 489 359 315 71 1.9k
Yaochen Qin China 32 1.3k 1.2× 672 1.2× 772 1.6× 379 1.1× 388 1.2× 142 2.7k
Alessandro Sorichetta United Kingdom 28 1.3k 1.2× 473 0.8× 176 0.4× 239 0.7× 226 0.7× 72 2.6k
Fenzhen Su China 24 913 0.8× 445 0.8× 738 1.5× 115 0.3× 309 1.0× 149 2.4k
Arijit Das India 30 1.7k 1.6× 966 1.7× 398 0.8× 843 2.3× 356 1.1× 124 2.7k
Zhang Tin China 8 1.1k 1.0× 370 0.7× 372 0.8× 349 1.0× 338 1.1× 29 2.2k
Yunyan Du China 24 896 0.8× 377 0.7× 214 0.4× 396 1.1× 206 0.7× 102 2.8k
Sérgio Freire Italy 31 1.6k 1.5× 410 0.7× 275 0.6× 284 0.8× 342 1.1× 90 2.7k
Juanle Wang China 22 774 0.7× 312 0.6× 502 1.0× 74 0.2× 296 0.9× 148 2.1k
Han Xiao China 24 656 0.6× 390 0.7× 173 0.4× 530 1.5× 703 2.2× 74 1.6k

Countries citing papers authored by Fengqin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Fengqin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengqin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Fengqin Yan. A scholar is included among the top collaborators of Fengqin Yan 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 Fengqin Yan. Fengqin Yan 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
2.
Li, Ting, Quanlong Feng, Bowen Niu, et al.. (2024). Mapping urban villages based on point-of-interest data and a deep learning approach. Cities. 156. 105549–105549. 2 indexed citations
3.
Yu, Lingxue, Ye Liu, Fengqin Yan, et al.. (2024). Phenological control of vegetation biophysical feedbacks to the regional climate. Geography and sustainability. 6(1). 100202–100202. 6 indexed citations
4.
Yang, Chaobin, et al.. (2024). Comparing the Evolution of Land Surface Temperature and Driving Factors between Three Different Urban Agglomerations in China. Sustainability. 16(2). 486–486. 3 indexed citations
5.
Yan, Fengqin, Xuege Wang, Chong Huang, et al.. (2023). Sea Reclamation in Mainland China: Process, Pattern, and Management. Land Use Policy. 127. 106555–106555. 44 indexed citations
6.
Yu, Lingxue, Ye Liu, Xuan Li, et al.. (2023). Vegetation-induced asymmetric diurnal land surface temperatures changes across global climate zones. The Science of The Total Environment. 896. 165255–165255. 16 indexed citations
7.
Yu, Lingxue, Xuan Li, Kun Bu, et al.. (2023). Increased background precipitation masks the moisture deficit caused by crop greening in Northeast China. Journal of Hydrology. 623. 129857–129857. 8 indexed citations
8.
Liu, Ying, Zhi Ding, Yanan Chen, et al.. (2023). Restored vegetation is more resistant to extreme drought events than natural vegetation in Southwest China. The Science of The Total Environment. 866. 161250–161250. 32 indexed citations
9.
Liu, Jinlian, Fengqin Yan, Shiwei Liu, et al.. (2023). Future variation of land surface temperature in the Yangtze River Basin based on CMIP6 model. International Journal of Digital Earth. 16(1). 2776–2796. 9 indexed citations
10.
Pan, Tingting, Yu Zhang, Fengqin Yan, & Fenzhen Su. (2023). Collaborative Optimal Allocation of Urban Land Guide by Land Ecological Suitability: A Case Study of Guangdong–Hong Kong–Macao Greater Bay Area. Land. 12(4). 754–754. 3 indexed citations
11.
Liu, Jinlian, Fengqin Yan, Shiwei Liu, et al.. (2023). Feedback and contribution of vegetation, air temperature and precipitation to land surface temperature in the Yangtze River Basin considering statistical analysis. International Journal of Digital Earth. 16(1). 2941–2961. 4 indexed citations
12.
Yu, Lingxue, et al.. (2023). Climate Change Impacts on Agroecosystems in China: Processes, Mechanisms and Prospects. Chinese Geographical Science. 33(4). 583–600. 12 indexed citations
14.
Yang, Jiuchun, et al.. (2021). Simulating Land-Use Changes and Predicting Maize Potential Yields in Northeast China for 2050. International Journal of Environmental Research and Public Health. 18(3). 938–938. 6 indexed citations
15.
Zhang, Yubo, Jiuchun Yang, Dongyan Wang, et al.. (2021). An Integrated CNN Model for Reconstructing and Predicting Land Use/Cover Change: A Case Study of the Baicheng Area, Northeast China. Remote Sensing. 13(23). 4846–4846. 9 indexed citations
16.
Liu, Tingxiang, Lingxue Yu, Kun Bu, et al.. (2021). Thermal and moisture response to land surface changes across different ecosystems over Heilong-Amur River Basin. The Science of The Total Environment. 818. 151799–151799. 13 indexed citations
17.
Zhao, Yifei & Fengqin Yan. (2021). Hyperspectral Image Classification Based on Sparse Superpixel Graph. Remote Sensing. 13(18). 3592–3592. 5 indexed citations
18.
Guan, Cong, Lingxue Yu, Fengqin Yan, & Shuwen Zhang. (2020). Teleconnections between Snow Cover Change over Siberia and Crop Growth in Northeast China. Sustainability. 12(18). 7632–7632. 1 indexed citations
19.
Chen, Jing, Lingxue Yu, Fengqin Yan, & Shuwen Zhang. (2020). Ecosystem Service Loss in Response to Agricultural Expansion in the Small Sanjiang Plain, Northeast China: Process, Driver and Management. Sustainability. 12(6). 2430–2430. 15 indexed citations
20.
Yang, Chaobin, Fengqin Yan, & Shuwen Zhang. (2020). Comparison of land surface and air temperatures for quantifying summer and winter urban heat island in a snow climate city. Journal of Environmental Management. 265. 110563–110563. 90 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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