Guangyou Zhou

100 total papers · 3.6k total citations
68 papers, 2.3k citations indexed

About

Guangyou Zhou is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guangyou Zhou has authored 68 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 21 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guangyou Zhou's work include Topic Modeling (56 papers), Advanced Graph Neural Networks (21 papers) and Natural Language Processing Techniques (18 papers). Guangyou Zhou is often cited by papers focused on Topic Modeling (56 papers), Advanced Graph Neural Networks (21 papers) and Natural Language Processing Techniques (18 papers). Guangyou Zhou collaborates with scholars based in China, Canada and United States. Guangyou Zhou's co-authors include Kang Liu, Jun Zhao, Siwei Lai, Daojian Zeng, Jun Zhao, Jimmy Xiangji Huang, Zhiwen Xie, Tingting He, Cai Li and Wensheng Wu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Guangyou Zhou

66 papers receiving 2.2k citations

Hit Papers

Relation Classification v... 2014 2026 2018 2022 2014 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Guangyou Zhou 2.1k 689 218 207 171 68 2.3k
Eric Nyberg 2.1k 1.0× 593 0.9× 333 1.5× 150 0.7× 92 0.5× 123 2.5k
Chris Welty 1.2k 0.6× 377 0.5× 158 0.7× 151 0.7× 178 1.0× 52 1.5k
Massimiliano Ciaramita 1.7k 0.8× 646 0.9× 181 0.8× 202 1.0× 80 0.5× 52 2.0k
John Prager 1.7k 0.8× 526 0.8× 305 1.4× 152 0.7× 58 0.3× 48 2.1k
Noriko Kando 1.4k 0.7× 823 1.2× 171 0.8× 162 0.8× 104 0.6× 192 1.9k
Jennifer Chu‐Carroll 1.7k 0.8× 410 0.6× 189 0.9× 134 0.6× 51 0.3× 59 2.0k
Denny Vrandečić 1.9k 0.9× 565 0.8× 280 1.3× 292 1.4× 88 0.5× 30 2.3k
Felisa Verdejo 995 0.5× 412 0.6× 165 0.8× 99 0.5× 172 1.0× 100 1.5k
Marta Sabou 1.4k 0.7× 939 1.4× 136 0.6× 266 1.3× 121 0.7× 113 1.9k
Siegfried Handschuh 1.9k 0.9× 1.2k 1.7× 268 1.2× 255 1.2× 91 0.5× 144 2.4k

Countries citing papers authored by Guangyou Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Guangyou Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyou Zhou

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