Baotian Hu

196 total papers · 3.4k total citations
76 papers, 924 citations indexed

About

Baotian Hu is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Baotian Hu has authored 76 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 16 papers in Molecular Biology and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Baotian Hu's work include Topic Modeling (44 papers), Natural Language Processing Techniques (30 papers) and Biomedical Text Mining and Ontologies (14 papers). Baotian Hu is often cited by papers focused on Topic Modeling (44 papers), Natural Language Processing Techniques (30 papers) and Biomedical Text Mining and Ontologies (14 papers). Baotian Hu collaborates with scholars based in China, United States and Hong Kong. Baotian Hu's co-authors include Qingcai Chen, Yuxiang Wu, Xiaolong Wang, Xiaoqiang Zhou, Buzhou Tang, Xiangping Wu, Jack T. Dennerlein, Jeffrey M. Schiffman, Jesse V. Jacobs and Philippe C. Dixon and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Biomechanics and BMC Bioinformatics.

In The Last Decade

Baotian Hu

65 papers receiving 878 citations

Author Peers

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

Author Last Decade Papers Cites
Baotian Hu 618 213 122 72 50 76 924
Ramón A. Mollineda 593 1.0× 225 1.1× 110 0.9× 34 0.5× 91 1.8× 29 872
Eduardo F. Morales 605 1.0× 486 2.3× 110 0.9× 83 1.2× 52 1.0× 89 1.2k
Fernando Buarque de Lima Neto 346 0.6× 128 0.6× 66 0.5× 36 0.5× 190 3.8× 106 927
Qing Lei 240 0.4× 506 2.4× 78 0.6× 29 0.4× 153 3.1× 72 891
Alessio Vecchio 179 0.3× 406 1.9× 99 0.8× 53 0.7× 306 6.1× 71 988
Manal Alghamdi 462 0.7× 404 1.9× 103 0.8× 43 0.6× 60 1.2× 43 1.1k
Daniel Sierra-Sosa 376 0.6× 165 0.8× 114 0.9× 22 0.3× 68 1.4× 52 1.0k
Adrian Popescu 502 0.8× 502 2.4× 138 1.1× 23 0.3× 14 0.3× 114 1.1k
Lili Pan 422 0.7× 511 2.4× 65 0.5× 43 0.6× 28 0.6× 77 967
Tao Xu 216 0.3× 265 1.2× 108 0.9× 24 0.3× 149 3.0× 69 964

Countries citing papers authored by Baotian Hu

Since Specialization
Citations

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

Fields of papers citing papers by Baotian Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baotian Hu

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