Yan Bai

50 total papers · 1.7k total citations
32 papers, 1.2k citations indexed

About

Yan Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yan Bai has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Yan Bai's work include Video Surveillance and Tracking Methods (17 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Neural Network Applications (8 papers). Yan Bai is often cited by papers focused on Video Surveillance and Tracking Methods (17 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Neural Network Applications (8 papers). Yan Bai collaborates with scholars based in China, Singapore and Hong Kong. Yan Bai's co-authors include Ling‐Yu Duan, Yihang Lou, Shiqi Wang, Jun Liu, Feng Gao, Yuwei Wu, Yongxing Dai, Wen Gao, Tiejun Huang and Zekun Tong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Circulation Research and IEEE Transactions on Image Processing.

In The Last Decade

Yan Bai

31 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Yan Bai 908 203 176 137 119 32 1.2k
Feiwei Qin 484 0.5× 101 0.5× 272 1.5× 57 0.4× 45 0.4× 87 1.3k
Yuan Gao 720 0.8× 203 1.0× 136 0.8× 84 0.6× 128 1.1× 50 1.3k
Xianjie Chen 768 0.8× 72 0.4× 337 1.9× 54 0.4× 13 0.1× 23 1.3k
Mingwu Ren 634 0.7× 90 0.4× 104 0.6× 53 0.4× 88 0.7× 65 1.0k
Ping Hu 708 0.8× 63 0.3× 300 1.7× 113 0.8× 29 0.2× 43 1.1k
Peishu Wu 555 0.6× 86 0.4× 436 2.5× 36 0.3× 20 0.2× 39 1.3k
Zhicheng Yang 394 0.4× 89 0.4× 372 2.1× 72 0.5× 9 0.1× 87 1.5k
Pedro Quelhas 517 0.6× 144 0.7× 156 0.9× 155 1.1× 10 0.1× 29 949
Siyu Huang 605 0.7× 61 0.3× 341 1.9× 75 0.5× 26 0.2× 68 1.2k
Qiang Cheng 519 0.6× 139 0.7× 455 2.6× 150 1.1× 19 0.2× 77 1.3k

Countries citing papers authored by Yan Bai

Since Specialization
Citations

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

Fields of papers citing papers by Yan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Bai

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