Xu Tan

107 total papers · 2.2k total citations
61 papers, 902 citations indexed

About

Xu Tan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, Xu Tan has authored 61 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 8 papers in Control and Systems Engineering. Recurrent topics in Xu Tan's work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Speech Recognition and Synthesis (7 papers). Xu Tan is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Speech Recognition and Synthesis (7 papers). Xu Tan collaborates with scholars based in China, United States and United Kingdom. Xu Tan's co-authors include Xin Lü, Tao Qin, Leilei Chang, Yu‐Wang Chen, Zhijie Zhou, Tie‐Yan Liu, Lining Xing, Yu Zhang, Takenori Yoshimura and Shinji Watanabe and has published in prestigious journals such as Optics Express, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Xu Tan

56 papers receiving 859 citations

Author Peers

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

Author Last Decade Papers Cites
Xu Tan 495 175 132 99 83 61 902
Sin-Chun Ng 459 0.9× 139 0.8× 151 1.1× 108 1.1× 75 0.9× 97 1.0k
Giuseppe D’Aniello 359 0.7× 71 0.4× 133 1.0× 106 1.1× 81 1.0× 64 798
Samira Sadaoui 372 0.8× 76 0.4× 85 0.6× 85 0.9× 37 0.4× 66 885
Jacek Mańdziuk 543 1.1× 54 0.3× 176 1.3× 98 1.0× 139 1.7× 103 1.0k
Gracián Triviño 438 0.9× 185 1.1× 186 1.4× 89 0.9× 155 1.9× 59 775
Yifei Wang 332 0.7× 191 1.1× 71 0.5× 138 1.4× 120 1.4× 30 770
Zhifeng Hao 566 1.1× 74 0.4× 204 1.5× 36 0.4× 42 0.5× 60 847
Jesús Cerquides 403 0.8× 114 0.7× 76 0.6× 223 2.3× 77 0.9× 86 933
Anne M. P. Canuto 617 1.2× 141 0.8× 254 1.9× 50 0.5× 88 1.1× 135 930
Sayan Ghosh 406 0.8× 86 0.5× 143 1.1× 26 0.3× 99 1.2× 72 797

Countries citing papers authored by Xu Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xu Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Tan

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