Fengyun Wu

22 total papers · 745 total citations
17 papers, 574 citations indexed

About

Fengyun Wu is a scholar working on Plant Science, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Fengyun Wu has authored 17 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 4 papers in Industrial and Manufacturing Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Fengyun Wu's work include Smart Agriculture and AI (11 papers), Industrial Vision Systems and Defect Detection (4 papers) and Spectroscopy and Chemometric Analyses (3 papers). Fengyun Wu is often cited by papers focused on Smart Agriculture and AI (11 papers), Industrial Vision Systems and Defect Detection (4 papers) and Spectroscopy and Chemometric Analyses (3 papers). Fengyun Wu collaborates with scholars based in China, United Kingdom and Australia. Fengyun Wu's co-authors include Xiangjun Zou, Jieli Duan, Zhou Yang, Lei Ye, Jin Li, Lanhui Fu, Zhaoyi Chen, Siyu Chen, Zihao Wu and Wei Tang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Fengyun Wu

14 papers receiving 567 citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fengyun Wu 394 126 114 76 52 17 574
Bin Yan 305 0.8× 144 1.1× 73 0.6× 76 1.0× 55 1.1× 16 560
Jiqing Chen 407 1.0× 112 0.9× 92 0.8× 51 0.7× 44 0.8× 33 582
Pan Fan 307 0.8× 141 1.1× 74 0.6× 74 1.0× 54 1.0× 11 564
Hongjun Wang 440 1.1× 112 0.9× 111 1.0× 82 1.1× 62 1.2× 45 678
Yuhao Bai 321 0.8× 78 0.6× 157 1.4× 43 0.6× 79 1.5× 18 579
Guangzhao Tian 394 1.0× 69 0.5× 151 1.3× 40 0.5× 76 1.5× 22 656
Zhihua Diao 399 1.0× 86 0.7× 156 1.4× 42 0.6× 50 1.0× 32 608
Hao Zhou 293 0.7× 164 1.3× 84 0.7× 70 0.9× 49 0.9× 13 666
Mei Jiang 294 0.7× 152 1.2× 73 0.6× 68 0.9× 51 1.0× 15 568
Joris IJsselmuiden 424 1.1× 130 1.0× 98 0.9× 37 0.5× 37 0.7× 21 688

Countries citing papers authored by Fengyun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fengyun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengyun Wu

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

All Works

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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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