Tong Xu

246 total papers · 4.2k total citations
147 papers, 2.2k citations indexed

About

Tong Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tong Xu has authored 147 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Artificial Intelligence, 51 papers in Computer Vision and Pattern Recognition and 45 papers in Information Systems. Recurrent topics in Tong Xu's work include Topic Modeling (43 papers), Recommender Systems and Techniques (33 papers) and Multimodal Machine Learning Applications (29 papers). Tong Xu is often cited by papers focused on Topic Modeling (43 papers), Recommender Systems and Techniques (33 papers) and Multimodal Machine Learning Applications (29 papers). Tong Xu collaborates with scholars based in China, Hong Kong and United States. Tong Xu's co-authors include Enhong Chen, Hui Xiong, Hengshu Zhu, Sirui Zhao, Chuan Qin, Chen Zhu, Jingbo Zhou, Dejing Dou, Shuangli Li and Shukang Yin and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Neurocomputing.

In The Last Decade

Tong Xu

132 papers receiving 2.1k citations

Hit Papers

A survey on multimodal la... 2024 2026 2024 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Tong Xu 1.1k 509 457 183 183 147 2.2k
Carlos Soares 1.6k 1.4× 261 0.5× 364 0.8× 96 0.5× 254 1.4× 125 2.9k
Chuxu Zhang 2.0k 1.8× 411 0.8× 792 1.7× 183 1.0× 106 0.6× 79 3.1k
Shaojie Qiao 777 0.7× 361 0.7× 363 0.8× 172 0.9× 133 0.7× 142 2.2k
Yanqing Zhang 1.5k 1.3× 454 0.9× 396 0.9× 140 0.8× 243 1.3× 164 3.3k
Jilles Vreeken 1.1k 0.9× 285 0.6× 665 1.5× 178 1.0× 372 2.0× 107 2.2k
Simon Colton 1.8k 1.6× 726 1.4× 121 0.3× 63 0.3× 234 1.3× 92 2.8k
Kun He 1.3k 1.1× 482 0.9× 163 0.4× 104 0.6× 54 0.3× 134 2.4k
Alessandro Sperduti 1.8k 1.6× 660 1.3× 381 0.8× 297 1.6× 326 1.8× 177 2.8k
Amin Beheshti 861 0.8× 251 0.5× 451 1.0× 78 0.4× 55 0.3× 137 1.9k
Kamal Berahmand 1.2k 1.1× 431 0.8× 310 0.7× 414 2.3× 131 0.7× 54 2.4k

Countries citing papers authored by Tong Xu

Since Specialization
Citations

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

Fields of papers citing papers by Tong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Xu

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