Bo Dai

150 total papers · 3.6k total citations
53 papers, 1.1k citations indexed

About

Bo Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Bo Dai has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Bo Dai's work include Domain Adaptation and Few-Shot Learning (9 papers), Human Pose and Action Recognition (9 papers) and Advanced Neural Network Applications (7 papers). Bo Dai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Human Pose and Action Recognition (9 papers) and Advanced Neural Network Applications (7 papers). Bo Dai collaborates with scholars based in United States, China and Hong Kong. Bo Dai's co-authors include Dahua Lin, Yue Zhao, Haodong Duan, Kai Chen, Loo Hay Lee, Ying Liu, Wang Yuan, Dongxiang Zhang, Le Song and Hanjun Dai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Chemical Engineering Science.

In The Last Decade

Bo Dai

48 papers receiving 1.1k citations

Hit Papers

Revisiting Skeleton-based... 2022 2026 2023 2024 2022 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Bo Dai 555 488 171 142 131 53 1.1k
Jianlong Chang 820 1.5× 522 1.1× 76 0.4× 211 1.5× 47 0.4× 37 1.4k
Yong Du 951 1.7× 332 0.7× 245 1.4× 86 0.6× 176 1.3× 40 1.4k
Mingyuan Zhang 589 1.1× 347 0.7× 120 0.7× 35 0.2× 62 0.5× 49 1.2k
Mohammad Sabokrou 666 1.2× 761 1.6× 236 1.4× 67 0.5× 92 0.7× 36 1.3k
Xiaorui Zhang 489 0.9× 343 0.7× 62 0.4× 39 0.3× 48 0.4× 82 1.2k
Minh Nhut Nguyen 460 0.8× 382 0.8× 220 1.3× 30 0.2× 41 0.3× 27 998
Longbiao Chen 207 0.4× 173 0.4× 88 0.5× 223 1.6× 56 0.4× 68 951
Huajie Shao 321 0.6× 430 0.9× 77 0.5× 34 0.2× 76 0.6× 52 1.1k
Jianhua Zou 567 1.0× 329 0.7× 68 0.4× 60 0.4× 27 0.2× 58 1.2k
Dazhi Jiang 189 0.3× 614 1.3× 45 0.3× 299 2.1× 64 0.5× 88 1.4k

Countries citing papers authored by Bo Dai

Since Specialization
Citations

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

Fields of papers citing papers by Bo Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Dai

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