Xianye Ben

72 total papers · 1.3k total citations
52 papers, 914 citations indexed

About

Xianye Ben is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Xianye Ben has authored 52 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 18 papers in Biomedical Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Xianye Ben's work include Gait Recognition and Analysis (18 papers), Human Pose and Action Recognition (18 papers) and Anomaly Detection Techniques and Applications (12 papers). Xianye Ben is often cited by papers focused on Gait Recognition and Analysis (18 papers), Human Pose and Action Recognition (18 papers) and Anomaly Detection Techniques and Applications (12 papers). Xianye Ben collaborates with scholars based in China, United States and Australia. Xianye Ben's co-authors include Weixiao Meng, Rui Yan, Kidiyo Kpalma, Qiang Wu, Peng Zhang, Chen Gong, Yi Ren, Junping Zhang, Sujing Wang and Yong‐Jin Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Xianye Ben

48 papers receiving 893 citations

Hit Papers

Video-based Facial Micro-... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Xianye Ben 650 261 230 220 119 52 914
Jingang Shi 574 0.9× 469 1.8× 157 0.7× 230 1.0× 81 0.7× 58 1.2k
Gaoyun An 773 1.2× 106 0.4× 132 0.6× 275 1.3× 96 0.8× 114 950
Mingwu Ren 634 1.0× 268 1.0× 98 0.4× 104 0.5× 107 0.9× 65 1.0k
Pablo Barros 500 0.8× 140 0.5× 359 1.6× 245 1.1× 179 1.5× 58 1.0k
Bappaditya Mandal 624 1.0× 178 0.7× 173 0.8× 175 0.8× 72 0.6× 56 1.2k
Ninad Mehendale 375 0.6× 164 0.6× 165 0.7× 329 1.5× 32 0.3× 89 1.2k
Jang‐Hee Yoo 827 1.3× 358 1.4× 35 0.2× 234 1.1× 149 1.3× 59 1.1k
Emmanuel Dellandréa 490 0.8× 133 0.5× 235 1.0× 243 1.1× 94 0.8× 32 919
Dimitrios Kosmopoulos 577 0.9× 131 0.5× 32 0.1× 383 1.7× 110 0.9× 81 1.2k
Noor Almaadeed 683 1.1× 161 0.6× 31 0.1× 277 1.3× 61 0.5× 42 1.1k

Countries citing papers authored by Xianye Ben

Since Specialization
Citations

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

Fields of papers citing papers by Xianye Ben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianye Ben

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