Wenpeng Hu

58 total papers · 880 total citations
26 papers, 434 citations indexed

About

Wenpeng Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Wenpeng Hu has authored 26 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Wenpeng Hu's work include Topic Modeling (12 papers), Natural Language Processing Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Wenpeng Hu is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Wenpeng Hu collaborates with scholars based in China, United States and Russia. Wenpeng Hu's co-authors include Dongyan Zhao, Rui Yan, Chongyang Tao, Wei Wu, Can Xu, Bing Liu, Jinwen Ma, Bing Liu, Mengyu Wang and Bing Liu and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and European Journal of Medicinal Chemistry.

In The Last Decade

Wenpeng Hu

23 papers receiving 422 citations

Author Peers

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

Author Last Decade Papers Cites
Wenpeng Hu 389 125 56 16 12 26 434
Abdellah Madani 279 0.7× 104 0.8× 118 2.1× 17 1.1× 17 1.4× 25 450
Hengyi Cai 261 0.7× 61 0.5× 63 1.1× 16 1.0× 22 1.8× 16 371
Wangchunshu Zhou 376 1.0× 170 1.4× 29 0.5× 9 0.6× 10 0.8× 37 466
Sarthak Jain 306 0.8× 93 0.7× 30 0.5× 14 0.9× 4 0.3× 20 399
Aurélien Bellet 249 0.6× 134 1.1× 24 0.4× 14 0.9× 19 1.6× 28 388
Zhiying Jiang 247 0.6× 89 0.7× 79 1.4× 8 0.5× 11 0.9× 24 374
Wei Bi 314 0.8× 136 1.1× 45 0.8× 54 3.4× 11 0.9× 42 465
Minwei Feng 429 1.1× 124 1.0× 99 1.8× 5 0.3× 14 1.2× 13 481
Xiaofei Ma 264 0.7× 66 0.5× 50 0.9× 13 0.8× 18 1.5× 31 382
Pengda Qin 366 0.9× 91 0.7× 40 0.7× 5 0.3× 7 0.6× 14 447

Countries citing papers authored by Wenpeng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Wenpeng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenpeng Hu

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