Guihong Cao

46 total papers · 2.8k total citations
32 papers, 1.4k citations indexed

About

Guihong Cao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guihong Cao has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 15 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guihong Cao's work include Topic Modeling (24 papers), Natural Language Processing Techniques (17 papers) and Information Retrieval and Search Behavior (9 papers). Guihong Cao is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (17 papers) and Information Retrieval and Search Behavior (9 papers). Guihong Cao collaborates with scholars based in Canada, China and United States. Guihong Cao's co-authors include Jian‐Yun Nie, Jing Bai, Jianfeng Gao, Jianfeng Gao, Stephen Robertson, Guangyuan Wu, Duyu Tang, Nan Duan, Daxin Jiang and Jianshu Ji and has published in prestigious journals such as ACM Transactions on Asian Language Information Processing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Meeting of the Association for Computational Linguistics.

In The Last Decade

Guihong Cao

32 papers receiving 1.3k citations

Hit Papers

K-Adapter: Infusing Knowl... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Guihong Cao 1.2k 644 288 132 76 32 1.4k
Robert Krovetz 876 0.8× 626 1.0× 393 1.4× 134 1.0× 75 1.0× 27 1.6k
Bhaskar Mitra 951 0.8× 618 1.0× 232 0.8× 77 0.6× 141 1.9× 49 1.2k
Bruce Croft 886 0.8× 782 1.2× 190 0.7× 200 1.5× 89 1.2× 25 1.3k
David Vallet 672 0.6× 733 1.1× 266 0.9× 145 1.1× 135 1.8× 41 1.1k
Ben He 1.2k 1.0× 907 1.4× 249 0.9× 164 1.2× 131 1.7× 76 1.5k
David A. Hull 1.3k 1.1× 818 1.3× 245 0.9× 160 1.2× 78 1.0× 26 1.6k
Jay Ponte 1.2k 1.1× 938 1.5× 263 0.9× 227 1.7× 117 1.5× 16 1.6k
Yelong Shen 1.4k 1.2× 476 0.7× 531 1.8× 89 0.7× 94 1.2× 49 1.8k
Ye‐Yi Wang 1.5k 1.3× 297 0.5× 221 0.8× 195 1.5× 50 0.7× 60 1.7k
Olga Vechtomova 706 0.6× 661 1.0× 208 0.7× 140 1.1× 99 1.3× 48 1.1k

Countries citing papers authored by Guihong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Guihong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guihong Cao

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