Xiaohua Hu

167 total papers · 2.0k total citations
94 papers, 1.0k citations indexed

About

Xiaohua Hu is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Xiaohua Hu has authored 94 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 30 papers in Information Systems and 20 papers in Molecular Biology. Recurrent topics in Xiaohua Hu's work include Topic Modeling (31 papers), Text and Document Classification Technologies (19 papers) and Natural Language Processing Techniques (16 papers). Xiaohua Hu is often cited by papers focused on Topic Modeling (31 papers), Text and Document Classification Technologies (19 papers) and Natural Language Processing Techniques (16 papers). Xiaohua Hu collaborates with scholars based in United States, China and Canada. Xiaohua Hu's co-authors include Xiao‐Hua Zhou, Xiaodan Zhang, Caimei Lu, Il‐Yeol Song, E. K. Park, Min Song, Illhoi Yoo, Bo Song, Robert B. Allen and Zhoujun Li and has published in prestigious journals such as Chemical Engineering Journal, IEEE Access and BMC Bioinformatics.

In The Last Decade

Xiaohua Hu

92 papers receiving 943 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaohua Hu 677 323 199 119 94 94 1.0k
Ana Gabriela Maguitman 834 1.2× 387 1.2× 66 0.3× 82 0.7× 110 1.2× 87 1.2k
Hwanjo Yu 725 1.1× 157 0.5× 138 0.7× 168 1.4× 170 1.8× 42 1.1k
Xia Lin 533 0.8× 370 1.1× 92 0.5× 288 2.4× 86 0.9× 75 1.0k
Maseud Rahgozar 474 0.7× 279 0.9× 124 0.6× 74 0.6× 331 3.5× 75 917
Srinandan Dasmahapatra 456 0.7× 201 0.6× 168 0.8× 102 0.9× 39 0.4× 63 870
Hasan Davulcu 461 0.7× 350 1.1× 67 0.3× 138 1.2× 155 1.6× 79 899
Enrique Amigó 837 1.2× 386 1.2× 71 0.4× 155 1.3× 125 1.3× 50 1.1k
David Pinto 855 1.3× 364 1.1× 67 0.3× 125 1.1× 42 0.4× 111 1.2k
Chengjie Sun 902 1.3× 217 0.7× 348 1.7× 108 0.9× 55 0.6× 71 1.2k
Marie desJardins 654 1.0× 208 0.6× 97 0.5× 209 1.8× 68 0.7× 97 1.2k

Countries citing papers authored by Xiaohua Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohua Hu

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