Xuning Tang

458 citations
33 papers · 366 · h-index 11

Impact in

Papers in

Xuning Tang

30 papers receiving 343 citations

Peers

Xuning Tang
Comparison fields: 5 of 48
  • Statistical and Nonlinear Physics 96
  • Information Systems 102
  • General Social Sciences 12
  • Artificial Intelligence 102
  • Communication 24
Replace Keke Cai with:
Keke Cai China
Pablo González-Cantergiani Chile
Raquel Martínez Spain
Vadim Kagan United States
Yuto Yamaguchi Japan
Baojun Qiu United States
Chuanming Yu China
Fattane Zarrinkalam Canada
Mark Meiss United States
Xuning Tang relative to Keke Cai China Keke Cai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xuning Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xuning Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Xuning Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xuning Tang Line = papers co-authored together Xuning Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201254
2 201032
3 201225
4 201325
5 201023
6 201022
7 201422
8 201014
9 201213
10 201112
11 201011
12 201211
13 200710
14 201110
15 202010
16 20139
17 20128
18 20097
19 20117
20 20137

About Xuning Tang

Xuning Tang is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Statistics, Probability and Uncertainty, Information Systems and General Social Sciences, having authored 33 papers that have together received 366 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Privacy-Preserving Technologies in Data (5 papers), scientometrics and bibliometrics research (5 papers), Recommender Systems and Techniques (4 papers), Expert finding and Q&A systems (2 papers), Advanced Clustering Algorithms Research (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (96 citations), Information Systems (102 citations), General Social Sciences (12 citations), Artificial Intelligence (102 citations) and Communication (24 citations). Xuning Tang has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Christopher C. Yang, Bhavani M. Thuraisingham, Ling Jiang, Haodong Yang, Min Song, Mi Zhang, Chih‐Ping Wei, Xiajing Gong, Qizhi Dai and Meng Niu. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, SpringerPlus, International Journal of Electronic Commerce, IEEE Intelligent Systems and Journal of the Association for Information Systems.

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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