Hangbo Bao

34 total papers · 3.7k total citations
8 papers, 416 citations indexed

About

Hangbo Bao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Informatics. According to data from OpenAlex, Hangbo Bao has authored 8 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Health Informatics. Recurrent topics in Hangbo Bao's work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Hangbo Bao is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Hangbo Bao collaborates with scholars based in China, United Kingdom and India. Hangbo Bao's co-authors include Furu Wei, Shaohan Huang, Li Dong, Wenhui Wang, Wenhui Wang, Johan Björck, Dong Li, Saksham Singhal, Zhiliang Peng and Kriti Aggarwal and has published in prestigious journals such as International Journal of Machine Learning and Cybernetics, Neural Information Processing Systems and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Hangbo Bao

8 papers receiving 402 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Hangbo Bao 273 222 22 18 16 8 416
Saksham Singhal 363 1.3× 281 1.3× 20 0.9× 9 0.5× 25 1.6× 9 494
Tal Ridnik 248 0.9× 200 0.9× 20 0.9× 11 0.6× 22 1.4× 8 417
Asaf Noy 249 0.9× 201 0.9× 20 0.9× 11 0.6× 22 1.4× 6 399
Roberto Olmos 268 1.0× 284 1.3× 14 0.6× 31 1.7× 29 1.8× 5 443
Tegan Maharaj 337 1.2× 203 0.9× 16 0.7× 8 0.4× 18 1.1× 10 455
Timur Garipov 258 0.9× 179 0.8× 9 0.4× 24 1.3× 22 1.4× 9 389
Itamar Friedman 243 0.9× 191 0.9× 16 0.7× 9 0.5× 20 1.3× 6 381
Ben Fielding 212 0.8× 197 0.9× 23 1.0× 33 1.8× 40 2.5× 6 463
Xinyin Ma 236 0.9× 122 0.5× 31 1.4× 18 1.0× 9 0.6× 9 373
Ilya Tolstikhin 221 0.8× 248 1.1× 17 0.8× 12 0.7× 42 2.6× 10 399

Countries citing papers authored by Hangbo Bao

Since Specialization
Citations

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

Fields of papers citing papers by Hangbo Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hangbo Bao

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