Guoyong Cai

126 total papers · 889 total citations
53 papers, 486 citations indexed

About

Guoyong Cai is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Guoyong Cai has authored 53 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 17 papers in Information Systems and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Guoyong Cai's work include Sentiment Analysis and Opinion Mining (10 papers), Complex Network Analysis Techniques (10 papers) and Advanced Text Analysis Techniques (8 papers). Guoyong Cai is often cited by papers focused on Sentiment Analysis and Opinion Mining (10 papers), Complex Network Analysis Techniques (10 papers) and Advanced Text Analysis Techniques (8 papers). Guoyong Cai collaborates with scholars based in China, United States and Hong Kong. Guoyong Cai's co-authors include Jiliang Tang, Dawei Yin, Yao Ma, Qing Li, Jianping Wang, Wenqi Fan, Qingpeng Zhang, Libing Li, Rui Lv and Yimin Wen and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Applied Soft Computing and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Guoyong Cai

47 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
Guoyong Cai 275 163 104 89 82 53 486
Shengjie Wang 197 0.7× 109 0.7× 40 0.4× 70 0.8× 93 1.1× 35 467
Michele Malgeri 137 0.5× 117 0.7× 41 0.4× 101 1.1× 82 1.0× 71 411
Luca Virgili 214 0.8× 146 0.9× 98 0.9× 131 1.5× 91 1.1× 45 539
Vincenza Carchiolo 147 0.5× 114 0.7× 39 0.4× 90 1.0× 76 0.9× 83 413
Enrico Corradini 174 0.6× 114 0.7× 95 0.9× 91 1.0× 86 1.0× 39 448
Siddharth Kaza 121 0.4× 204 1.3× 88 0.8× 49 0.6× 49 0.6× 60 424
Attila Kiss 272 1.0× 121 0.7× 125 1.2× 69 0.8× 18 0.2× 68 484
Marta Arias 201 0.7× 102 0.6× 46 0.4× 83 0.9× 36 0.4× 38 475
Sergej Sizov 277 1.0× 212 1.3× 20 0.2× 92 1.0× 58 0.7× 43 501
Wei Wei 95 0.3× 68 0.4× 78 0.8× 89 1.0× 314 3.8× 54 508

Countries citing papers authored by Guoyong Cai

Since Specialization
Citations

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

Fields of papers citing papers by Guoyong Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoyong Cai

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