Yunbo Cao

152 total papers · 3.4k total citations
79 papers, 2.0k citations indexed

About

Yunbo Cao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yunbo Cao has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 32 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yunbo Cao's work include Topic Modeling (47 papers), Natural Language Processing Techniques (35 papers) and Web Data Mining and Analysis (13 papers). Yunbo Cao is often cited by papers focused on Topic Modeling (47 papers), Natural Language Processing Techniques (35 papers) and Web Data Mining and Analysis (13 papers). Yunbo Cao collaborates with scholars based in China, United States and Hong Kong. Yunbo Cao's co-authors include Chin-Yew Lin, Yalou Huang, Hang Li, Yong Yu, Hsiao-Wuen Hon, Jun Xu, Tie‐Yan Liu, Jingjing Liu, Ming Zhou and Shenghua Bao and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Information Processing & Management and ACM Transactions on Information Systems.

In The Last Decade

Yunbo Cao

79 papers receiving 1.8k citations

Hit Papers

Adapting ranking SVM to d... 2006 2026 2012 2019 2006 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
Yunbo Cao 1.6k 984 238 223 157 79 2.0k
Mark D. Smucker 915 0.6× 956 1.0× 186 0.8× 154 0.7× 177 1.1× 70 1.6k
Minghui Qiu 1.5k 0.9× 673 0.7× 496 2.1× 228 1.0× 140 0.9× 86 2.0k
Roger Nkambou 940 0.6× 721 0.7× 209 0.9× 215 1.0× 150 1.0× 101 1.7k
Jie Yang 1.0k 0.6× 701 0.7× 246 1.0× 204 0.9× 144 0.9× 134 1.8k
Kevyn Collins‐Thompson 1.5k 1.0× 1.1k 1.1× 217 0.9× 278 1.2× 114 0.7× 71 2.5k
Stefano Mizzaro 764 0.5× 942 1.0× 185 0.8× 351 1.6× 184 1.2× 102 1.6k
Béla Gipp 1.4k 0.9× 1.3k 1.3× 249 1.0× 116 0.5× 341 2.2× 124 2.6k
Shilad Sen 614 0.4× 848 0.9× 291 1.2× 200 0.9× 274 1.7× 38 1.5k
Joeran Beel 862 0.5× 962 1.0× 143 0.6× 82 0.4× 137 0.9× 65 1.6k
Pavel Serdyukov 817 0.5× 938 1.0× 370 1.6× 200 0.9× 148 0.9× 102 1.9k

Countries citing papers authored by Yunbo Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yunbo Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunbo Cao

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