Xijin Tang

2.4k total citations · 1 hit paper
77 papers, 1.5k citations indexed

About

Xijin Tang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Xijin Tang has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 20 papers in Statistical and Nonlinear Physics and 20 papers in Management Science and Operations Research. 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

72 papers receiving 1.5k citations

Hit Papers

A comparative study of TF*IDF, LSI and multi-words for te... 2010 2026 2015 2020 2010 100 200 300 400

Peers

Xijin Tang
Comparison fields: 5 of 127
  • Artificial Intelligence 866
  • Management Science and Operations Research 446
  • Information Systems 409
  • Computational Theory and Mathematics 206
  • Sociology and Political Science 124
Replace Francesco Orciuoli with:
Francesco Orciuoli Italy
Carlos Porcel Spain
Pietro Ducange Italy
M. Ghiassi United States
Xiuwu Liao China
Gary J. Kœhler United States
Nicola Capuano Italy
Yao Wu China
Giuseppe Fenza Italy
Francesco Orciuoli Italy View profile →
Citations per field, relative to Xijin Tang
Xijin Tang · 1×
Citations per year, relative to Xijin Tang
Xijin Tang · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 5
5 2
6 2
7 2
8 5
9 4
10 1
11 2
12 1
13 4
14 12
15 6
16 6
17
Augmented Mutual Information for Multi-word Extraction
11
18 48
19 1
20 3

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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