Feng Wen

215 total papers · 1.8k total citations
117 papers, 1.1k citations indexed

About

Feng Wen is a scholar working on Computer Vision and Pattern Recognition, Astronomy and Astrophysics and Aerospace Engineering. According to data from OpenAlex, Feng Wen has authored 117 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 29 papers in Astronomy and Astrophysics and 28 papers in Aerospace Engineering. Recurrent topics in Feng Wen's work include Solar and Space Plasma Dynamics (29 papers), Robotics and Sensor-Based Localization (24 papers) and Stellar, planetary, and galactic studies (18 papers). Feng Wen is often cited by papers focused on Solar and Space Plasma Dynamics (29 papers), Robotics and Sensor-Based Localization (24 papers) and Stellar, planetary, and galactic studies (18 papers). Feng Wen collaborates with scholars based in China, United States and Sweden. Feng Wen's co-authors include Kejun Li, Wanlong Li, Yong Liu, Xin Kong, Xiangrui Zhao, L. S. Zhan, Tianxin Huang, P. X. Gao, Xuemeng Yang and Kui Yuan and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Feng Wen

108 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Feng Wen	347	298	287	147	130	117	1.1k
Craig Hancock	193 0.6×	97 0.3×	599 2.1×	79 0.5×	14 0.1×	84	1.4k
P. Balamuralidhar	223 0.6×	217 0.7×	140 0.5×	205 1.4×	6 0.0×	95	1.4k
Zihan Zhou	53 0.2×	713 2.4×	79 0.3×	136 0.9×	28 0.2×	99	1.3k
Hua Wang	35 0.1×	98 0.3×	251 0.9×	75 0.5×	34 0.3×	159	1.4k
Martín Molina	33 0.1×	294 1.0×	269 0.9×	237 1.6×	13 0.1×	76	1.0k
Hae‐Dong Kim	181 0.5×	92 0.3×	575 2.0×	142 1.0×	16 0.1×	180	1.1k
Bing Han	20 0.1×	354 1.2×	147 0.5×	131 0.9×	13 0.1×	108	1.3k
Xiaodong Fu	23 0.1×	125 0.4×	53 0.2×	181 1.2×	47 0.4×	157	1.4k
Edward J. Oughton	136 0.4×	49 0.2×	181 0.6×	24 0.2×	50 0.4×	50	1.1k
Róbert Hudec	24 0.1×	377 1.3×	59 0.2×	138 0.9×	15 0.1×	119	1.4k

Countries citing papers authored by Feng Wen

Since Specialization

Citations

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

Fields of papers citing papers by Feng Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Wen. A scholar is included among the top collaborators of Feng Wen 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 Feng Wen. Feng Wen 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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