Fengxiang He

114 total papers · 1.8k total citations
35 papers, 972 citations indexed

About

Fengxiang He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fengxiang He has authored 35 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fengxiang He's work include Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (10 papers) and Advanced Neural Network Applications (9 papers). Fengxiang He is often cited by papers focused on Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (10 papers) and Advanced Neural Network Applications (9 papers). Fengxiang He collaborates with scholars based in China, Australia and Hong Kong. Fengxiang He's co-authors include Dacheng Tao, Tongliang Liu, Bo Du, Lefei Zhang, Fusheng Hao, Jun Cheng, Dacheng Tao, Jingyuan Li, Yonghao Xu and Jianzhong Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Communications of the ACM.

In The Last Decade

Fengxiang He

33 papers receiving 954 citations

Hit Papers

Why ResNet Works? Residua... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Fengxiang He 563 332 121 97 49 35 972
Xianxu Hou 639 1.1× 294 0.9× 107 0.9× 100 1.0× 20 0.4× 39 942
Wei Xiong 595 1.1× 225 0.7× 140 1.2× 44 0.5× 46 0.9× 53 1.0k
Jiangning Zhang 594 1.1× 355 1.1× 85 0.7× 43 0.4× 78 1.6× 66 1.1k
Di Lin 787 1.4× 307 0.9× 142 1.2× 74 0.8× 20 0.4× 48 1.2k
Gedas Bertasius 806 1.4× 254 0.8× 109 0.9× 45 0.5× 32 0.7× 34 998
Yanchao Yang 810 1.4× 463 1.4× 155 1.3× 187 1.9× 68 1.4× 54 1.2k
Amit Agrawal 847 1.5× 343 1.0× 159 1.3× 79 0.8× 36 0.7× 14 1.1k
Stamatios Georgoulis 492 0.9× 348 1.0× 60 0.5× 62 0.6× 35 0.7× 19 908
Lu Yang 555 1.0× 289 0.9× 175 1.4× 73 0.8× 19 0.4× 67 990
Yuzhu Ji 631 1.1× 234 0.7× 91 0.8× 31 0.3× 44 0.9× 30 979

Countries citing papers authored by Fengxiang He

Since Specialization
Citations

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

Fields of papers citing papers by Fengxiang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengxiang He

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