Xijin Tang

150 total papers · 2.4k total citations
80 papers, 1.5k citations indexed

About

Xijin Tang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Xijin Tang has authored 80 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 21 papers in Management Science and Operations Research and 20 papers in Statistical and Nonlinear Physics. Recurrent topics in Xijin Tang's work include Advanced Text Analysis Techniques (22 papers), Complex Network Analysis Techniques (19 papers) and Opinion Dynamics and Social Influence (13 papers). Xijin Tang is often cited by papers focused on Advanced Text Analysis Techniques (22 papers), Complex Network Analysis Techniques (19 papers) and Opinion Dynamics and Social Influence (13 papers). Xijin Tang collaborates with scholars based in China, Japan and Australia. Xijin Tang's co-authors include Taketoshi Yoshida, Wen Zhang, Cuiping Wei, Wen Zhang, Na Zhao, Jifa Gu, Wen Zhang, Qing Wang, Wen Zhang and Zhenpeng Li and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Xijin Tang

74 papers receiving 1.5k citations

Hit Papers

A comparative study of TF... 2010 2026 2015 2020 2010 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Xijin Tang 870 448 409 208 124 80 1.5k
Francesco Orciuoli 905 1.0× 292 0.7× 465 1.1× 358 1.7× 110 0.9× 120 1.9k
Carlos Porcel 698 0.8× 670 1.5× 766 1.9× 241 1.2× 190 1.5× 55 1.7k
Mark J. Wierman 569 0.7× 523 1.2× 211 0.5× 490 2.4× 72 0.6× 45 1.5k
Gary J. Kœhler 830 1.0× 512 1.1× 188 0.5× 186 0.9× 119 1.0× 92 2.0k
Van‐Nam Huynh 836 1.0× 661 1.5× 349 0.9× 401 1.9× 83 0.7× 170 2.2k
Pietro Ducange 1.4k 1.6× 182 0.4× 288 0.7× 194 0.9× 189 1.5× 95 2.1k
Xudong Luo 931 1.1× 438 1.0× 176 0.4× 115 0.6× 131 1.1× 120 1.6k
Xiuwu Liao 409 0.5× 833 1.9× 231 0.6× 373 1.8× 153 1.2× 57 1.6k
Nicola Capuano 612 0.7× 230 0.5× 361 0.9× 64 0.3× 143 1.2× 88 1.4k
Jun Ma 479 0.6× 584 1.3× 244 0.6× 274 1.3× 71 0.6× 83 1.6k

Countries citing papers authored by Xijin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xijin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xijin Tang

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