Yuan He

103 total papers · 2.8k total citations
58 papers, 1.4k citations indexed

About

Yuan He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yuan He has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Yuan He's work include Advanced Image and Video Retrieval Techniques (15 papers), Adversarial Robustness in Machine Learning (13 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Yuan He is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Adversarial Robustness in Machine Learning (13 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Yuan He collaborates with scholars based in China, United States and Japan. Yuan He's co-authors include Hui Xue, Yuefeng Chen, Xiaodan Li, Nenghai Yu, Weiming Zhang, Wenbo Zhou, Honggu Liu, Xiaofeng Mao, Ranjie Duan and Da Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Yuan He

52 papers receiving 1.4k citations

Hit Papers

Spatial-Phase Shallow Lea... 2021 2026 2022 2024 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Yuan He 1.0k 618 138 111 80 58 1.4k
Jianping Fan 548 0.5× 532 0.9× 123 0.9× 110 1.0× 56 0.7× 86 1.3k
Vineeth N Balasubramanian 861 0.8× 806 1.3× 114 0.8× 91 0.8× 95 1.2× 102 1.7k
Ser-Nam Lim 961 0.9× 588 1.0× 83 0.6× 169 1.5× 79 1.0× 54 1.3k
Jintao Li 934 0.9× 414 0.7× 219 1.6× 103 0.9× 44 0.6× 66 1.4k
Vishnu Naresh Boddeti 818 0.8× 623 1.0× 236 1.7× 84 0.8× 102 1.3× 58 1.4k
Xingxing Wei 1.1k 1.1× 625 1.0× 144 1.0× 198 1.8× 231 2.9× 54 1.7k
Yang He 948 0.9× 852 1.4× 82 0.6× 51 0.5× 60 0.8× 45 1.5k
Xin Jin 1.4k 1.4× 406 0.7× 105 0.8× 143 1.3× 61 0.8× 70 1.8k
Jianmin Li 1.1k 1.1× 364 0.6× 272 2.0× 157 1.4× 103 1.3× 103 1.8k
Xiaoke Zhu 691 0.7× 329 0.5× 89 0.6× 101 0.9× 37 0.5× 61 1.5k

Countries citing papers authored by Yuan He

Since Specialization
Citations

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

Fields of papers citing papers by Yuan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan He

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