Yuexin Wu

118 total papers · 2.6k total citations
59 papers, 1.2k citations indexed

About

Yuexin Wu is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Yuexin Wu has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 13 papers in Information Systems and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Yuexin Wu's work include Topic Modeling (14 papers), Sentiment Analysis and Opinion Mining (10 papers) and Natural Language Processing Techniques (6 papers). Yuexin Wu is often cited by papers focused on Topic Modeling (14 papers), Sentiment Analysis and Opinion Mining (10 papers) and Natural Language Processing Techniques (6 papers). Yuexin Wu collaborates with scholars based in China, United States and United Kingdom. Yuexin Wu's co-authors include Yiming Yang, Wei-Cheng Chang, Jingzhou Liu, Hanxiao Liu, Hiroshi Nishiura, Donghan Yu, Han Jiang, Jiawei Han, Hongkun Yu and Shixiang Gu and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and ACS Sustainable Chemistry & Engineering.

In The Last Decade

Yuexin Wu

52 papers receiving 1.2k citations

Hit Papers

Deep Learning for Extreme... 2017 2026 2020 2023 2017 2023 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Yuexin Wu 791 259 225 92 69 59 1.2k
Bert Huang 766 1.0× 229 0.9× 176 0.8× 124 1.3× 112 1.6× 50 1.3k
Xianghua Fu 750 0.9× 134 0.5× 229 1.0× 41 0.4× 110 1.6× 67 1.3k
Asit Kumar Das 740 0.9× 214 0.8× 221 1.0× 63 0.7× 68 1.0× 93 1.4k
Li Zhu 411 0.5× 301 1.2× 226 1.0× 64 0.7× 86 1.2× 93 959
Wei Ju 565 0.7× 198 0.8× 194 0.9× 39 0.4× 47 0.7× 76 967
Waqar Aslam 421 0.5× 151 0.6× 165 0.7× 57 0.6× 93 1.3× 50 993
Junyu Xuan 586 0.7× 216 0.8× 148 0.7× 48 0.5× 94 1.4× 58 935
Shikun Feng 660 0.8× 388 1.5× 112 0.5× 57 0.6× 59 0.9× 36 1.2k
Yifan Zhu 443 0.6× 99 0.4× 232 1.0× 66 0.7× 80 1.2× 105 953
Mohammed Ali Al-Garadi 737 0.9× 202 0.8× 165 0.7× 75 0.8× 160 2.3× 45 1.4k

Countries citing papers authored by Yuexin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuexin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuexin Wu

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