Chongyang Tao

151 total papers · 2.4k total citations
62 papers, 970 citations indexed

About

Chongyang Tao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Chongyang Tao has authored 62 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Chongyang Tao's work include Topic Modeling (51 papers), Natural Language Processing Techniques (35 papers) and Speech and dialogue systems (25 papers). Chongyang Tao is often cited by papers focused on Topic Modeling (51 papers), Natural Language Processing Techniques (35 papers) and Speech and dialogue systems (25 papers). Chongyang Tao collaborates with scholars based in China, United States and Australia. Chongyang Tao's co-authors include Dongyan Zhao, Rui Yan, Wei Wu, Can Xu, Wenpeng Hu, Xueliang Zhao, Daxin Jiang, Lili Mou, Shen Gao and Xiubo Geng and has published in prestigious journals such as Journal of Applied Physics, Journal of Alloys and Compounds and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Chongyang Tao

55 papers receiving 937 citations

Author Peers

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

Author Last Decade Papers Cites
Chongyang Tao 843 232 93 26 23 62 970
Ivan Serina 929 1.1× 138 0.6× 105 1.1× 10 0.4× 21 0.9× 72 1.1k
Omar Khattab 611 0.7× 286 1.2× 209 2.2× 32 1.2× 21 0.9× 37 986
Tianyang Zhang 679 0.8× 356 1.5× 63 0.7× 30 1.2× 66 2.9× 35 1.1k
Longyue Wang 673 0.8× 231 1.0× 36 0.4× 24 0.9× 11 0.5× 88 868
Jingfang Xu 814 1.0× 281 1.2× 141 1.5× 67 2.6× 13 0.6× 42 1.0k
Dianhai Yu 838 1.0× 300 1.3× 125 1.3× 6 0.2× 9 0.4× 27 1.0k
Hongyu Lin 726 0.9× 104 0.4× 126 1.4× 30 1.2× 8 0.3× 55 1.2k
Hanxiao Liu 675 0.8× 197 0.8× 116 1.2× 12 0.5× 10 0.4× 35 981
Junxian He 607 0.7× 156 0.7× 49 0.5× 7 0.3× 12 0.5× 50 821
Peng Zhang 622 0.7× 88 0.4× 147 1.6× 25 1.0× 25 1.1× 63 822

Countries citing papers authored by Chongyang Tao

Since Specialization
Citations

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

Fields of papers citing papers by Chongyang Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongyang Tao

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