Yu Feng

4.4k total citations · 1 hit paper
73 papers, 3.2k citations indexed

About

Yu Feng is a scholar working on Global and Planetary Change, Artificial Intelligence and Plant Science. According to data from OpenAlex, Yu Feng has authored 73 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Global and Planetary Change, 19 papers in Artificial Intelligence and 19 papers in Plant Science. Recurrent topics in Yu Feng's work include Plant Water Relations and Carbon Dynamics (34 papers), Solar Radiation and Photovoltaics (16 papers) and Irrigation Practices and Water Management (13 papers). Yu Feng is often cited by papers focused on Plant Water Relations and Carbon Dynamics (34 papers), Solar Radiation and Photovoltaics (16 papers) and Irrigation Practices and Water Management (13 papers). Yu Feng collaborates with scholars based in China, France and Denmark. Yu Feng's co-authors include Ningbo Cui, Daozhi Gong, Lu Zhao, Weiping Hao, Shouzheng Jiang, Xiaotao Hu, Qingwen Zhang, Yue Jia, Kuandi Zhang and Yong Peng and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Yu Feng

69 papers receiving 3.1k citations

Hit Papers

Accelerated increase in v... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Feng China 33 1.7k 980 919 707 542 73 3.2k
Daozhi Gong China 36 2.0k 1.2× 984 1.0× 1.0k 1.1× 750 1.1× 1.2k 2.3× 124 4.1k
Ningbo Cui China 36 2.1k 1.2× 1.0k 1.1× 1.2k 1.3× 901 1.3× 1.3k 2.4× 163 4.5k
Wenzhi Zeng China 30 730 0.4× 460 0.5× 1.1k 1.2× 480 0.7× 806 1.5× 117 3.3k
Youzhen Xiang China 33 977 0.6× 609 0.6× 660 0.7× 388 0.5× 1.6k 2.9× 96 3.8k
Babak Mohammadi Sweden 32 1.3k 0.8× 521 0.5× 1.5k 1.7× 1.0k 1.5× 142 0.3× 85 2.9k
Huanjie Cai China 34 2.0k 1.1× 369 0.4× 487 0.5× 683 1.0× 1.4k 2.5× 142 4.0k
Jalal Shiri Iran 48 2.3k 1.3× 1.2k 1.2× 3.4k 3.7× 2.5k 3.5× 376 0.7× 126 5.8k
Aitazaz A. Farooque Canada 30 660 0.4× 271 0.3× 989 1.1× 624 0.9× 1.0k 1.9× 221 3.5k
Anurag Malik India 40 1.9k 1.1× 480 0.5× 2.0k 2.2× 1.5k 2.1× 155 0.3× 122 3.8k
Sungwon Kim South Korea 34 1.2k 0.7× 801 0.8× 2.0k 2.2× 1.3k 1.8× 122 0.2× 121 3.4k

Countries citing papers authored by Yu Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yu Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Feng. A scholar is included among the top collaborators of Yu Feng 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 Yu Feng. Yu Feng 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.
Huang, Xin, Demin Xu, Yongjun Chen, et al.. (2025). EConv-ViT: A strongly generalized apple leaf disease classification model based on the fusion of ConvNeXt and Transformer. Information Processing in Agriculture. 12(4). 466–477. 5 indexed citations
3.
Jiang, Shouzheng, Yu Feng, Lu Zhao, et al.. (2024). Evaluation of potential evapotranspiration models over fluxdata network cropland sites. Journal of Hydrology. 644. 132084–132084. 2 indexed citations
4.
Feng, Yu, Philippe Ciais, Jean‐Pierre Wigneron, et al.. (2024). Global patterns and drivers of tropical aboveground carbon changes. Nature Climate Change. 14(10). 1064–1070. 10 indexed citations
6.
Wu, Jie, Yu Feng, Laurent Li, et al.. (2023). Earth greening mitigates hot temperature extremes despite the effect being dampened by rising CO2. One Earth. 7(1). 100–109. 4 indexed citations
7.
Ma, Qian, et al.. (2023). Widely targeted metabolomic analysis revealed the effects of alkaline stress on nonvolatile and volatile metabolites in broomcorn millet grains. Food Research International. 171. 113066–113066. 14 indexed citations
8.
He, Xinyue, Alan D. Ziegler, Paul R. Elsen, et al.. (2023). Accelerating global mountain forest loss threatens biodiversity hotspots. One Earth. 6(3). 303–315. 36 indexed citations
9.
Jiang, Shouzheng, Chuan Liang, Lu Zhao, et al.. (2022). Energy and evapotranspiration partitioning over a humid region orchard: Field measurements and partitioning model comparisons. Journal of Hydrology. 610. 127890–127890. 22 indexed citations
10.
Feng, Yu, Jie Wu, Xinyue He, et al.. (2022). Evaluation of ECOSTRESS evapotranspiration estimates over heterogeneous landscapes in the continental US. Journal of Hydrology. 613. 128470–128470. 11 indexed citations
11.
Wang, Dashan, Yu Feng, Jie Wu, et al.. (2022). Decreasing relative humidity dominates a reversal of decreasing pan evaporation in mainland China after 1989. Journal of Hydrology. 608. 127641–127641. 13 indexed citations
12.
Chen, Yongzhe, Xiaoming Feng, Hanqin Tian, et al.. (2021). Accelerated increase in vegetation carbon sequestration in China after 2010: A turning point resulting from climate and human interaction. Global Change Biology. 27(22). 5848–5864. 216 indexed citations breakdown →
13.
Xia, Kewen, Shurui Fan, Wang Li, et al.. (2021). A Multi-Strategy Whale Optimization Algorithm and Its Application. Engineering Applications of Artificial Intelligence. 108. 104558–104558. 81 indexed citations
14.
Zhu, Bin, Yu Feng, Daozhi Gong, et al.. (2020). Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data. Computers and Electronics in Agriculture. 173. 105430–105430. 143 indexed citations
15.
Zhang, Yixuan, Ningbo Cui, Yu Feng, Daozhi Gong, & Xiaotao Hu. (2019). Comparison of BP, PSO-BP and statistical models for predicting daily global solar radiation in arid Northwest China. Computers and Electronics in Agriculture. 164. 104905–104905. 68 indexed citations
16.
Feng, Yu, et al.. (2018). Evaluation of artificial intelligence models for actual crop evapotranspiration modeling in mulched and non-mulched maize croplands. Computers and Electronics in Agriculture. 152. 375–384. 93 indexed citations
17.
Feng, Yu, et al.. (2016). Estimating rainfed spring maize evapotranspiration using modified dual crop coefficient approach based on leaf area index. Nongye Gongcheng Xuebao. 32(9). 98. 16 indexed citations
18.
Feng, Yu, et al.. (2016). Spatial Confl ict of Land Use Caused by Mining Exploitation and Optimal Allocation Scheme of Land Resources in River Basin. 30(11). 40. 8 indexed citations
19.
Wang, Wenjie, et al.. (2015). Relationship of landscape pattern and river water quality in Shuifumiao Reservoir watershed in Hunan province.. 5(4). 333–340. 2 indexed citations
20.
Feng, Yu, V. R. Kotamarthi, Anne Jefferson, et al.. (2012). Observation-constrained Estimation of Aerosol Climate Impacts over S Asia. AGU Fall Meeting Abstracts. 2012. 1 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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