Lingxiao He

23 total papers · 1.4k total citations
10 papers, 542 citations indexed

About

Lingxiao He is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Lingxiao He has authored 10 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Biomedical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Lingxiao He's work include Video Surveillance and Tracking Methods (8 papers), Human Pose and Action Recognition (7 papers) and Advanced Neural Network Applications (3 papers). Lingxiao He is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Human Pose and Action Recognition (7 papers) and Advanced Neural Network Applications (3 papers). Lingxiao He collaborates with scholars based in China, United States and Singapore. Lingxiao He's co-authors include Wu Liu, Tao Mei, Xinchen Liu, Kecheng Zheng, Zheng-Jun Zha, Jiebo Luo, Zhenan Sun, Chenggang Yan, Tao Mei and Jinkai Zheng and has published in prestigious journals such as ACM Computing Surveys, ACM Transactions on Multimedia Computing Communications and Applications and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Lingxiao He

9 papers receiving 532 citations

Hit Papers

FastReID: A Pytorch Toolb... 2023 2026 2024 2023 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Lingxiao He 485 261 69 43 30 10 542
Diogo Luvizon 455 0.9× 104 0.4× 113 1.6× 100 2.3× 25 0.8× 17 546
Emre Aksan 446 0.9× 139 0.5× 92 1.3× 103 2.4× 10 0.3× 13 583
Sikandar Amin 455 0.9× 65 0.2× 68 1.0× 59 1.4× 36 1.2× 9 504
Antti Konttila 447 0.9× 374 1.4× 61 0.9× 20 0.5× 7 0.2× 7 555
Bo Yang 413 0.9× 200 0.8× 53 0.8× 121 2.8× 97 3.2× 11 485
Lin Sun 508 1.0× 175 0.7× 300 4.3× 83 1.9× 27 0.9× 13 580
Ramprasad Polana 479 1.0× 154 0.6× 140 2.0× 53 1.2× 2 0.1× 7 541
Sanath Narayan 484 1.0× 78 0.3× 363 5.3× 30 0.7× 28 0.9× 18 607
Manuel Kaufmann 372 0.8× 107 0.4× 49 0.7× 103 2.4× 9 0.3× 18 493
Chunluan Zhou 505 1.0× 38 0.1× 190 2.8× 22 0.5× 7 0.2× 21 575

Countries citing papers authored by Lingxiao He

Since Specialization
Citations

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

Fields of papers citing papers by Lingxiao He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingxiao He

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