Keyun Qin

2.5k citations
125 papers · 1.7k · h-index 22

Impact in

Papers in

Keyun Qin

114 papers receiving 1.6k citations

Peers

Keyun Qin
Comparison fields: 5 of 96
  • Management Science and Operations Research 1.0k
  • Computational Theory and Mathematics 1.3k
  • Artificial Intelligence 547
  • Statistics and Probability 128
  • Information Systems 290
Replace Davide Ciucci with:
Davide Ciucci Italy
Jesús Medina Spain
Guangming Lang China
Tareq M. Al-shami Yemen
Etienne Kerre Belgium
Daniel J. Buehrer Taiwan
Xiaopeng Yang China
Tsau Young Lin United States
Georg Peters Germany
Dan Meng China
Keyun Qin relative to Davide Ciucci Italy Davide Ciucci's profile →
Citations per field
00.5×1.5×2.2×
Davide Ciucci · 1×
Citations per year

Countries citing papers authored by Keyun Qin

Since Specialization
Citations

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

Fields of papers citing papers by Keyun Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keyun Qin, 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 Keyun Qin Line = papers co-authored together Keyun Qin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004155
2 2010133
3 2008123
4 2011105
5 200381
6 201964
7 201460
8 201347
9 201841
10 202241
11 202039
12 201433
13 201928
14 201925
15 202024
16 200924
17 201723
18 201923
19 202123
20 201423

About Keyun Qin

Keyun Qin is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Artificial Intelligence, Information Systems and Statistics and Probability, having authored 125 papers that have together received 1.7k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (80 papers), Multi-Criteria Decision Making (47 papers), Advanced Algebra and Logic (36 papers), Fuzzy and Soft Set Theory (29 papers), Fuzzy Logic and Control Systems (26 papers), Data Mining Algorithms and Applications (22 papers), Advanced Computational Techniques and Applications (14 papers) and Fuzzy Systems and Optimization (13 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Computational Theory and Mathematics (1.3k citations), Artificial Intelligence (547 citations), Statistics and Probability (128 citations) and Information Systems (290 citations). Keyun Qin has collaborated with scholars based in China, Spain and Canada. Frequent co-authors include Zheng Pei, Zhiyong Hong, Xingxing He, Dan Meng, Yingfang Li, Jilin Yang, Yang Xu, Xiaohong Zhang, Yaya Liu and Hua Zhao. Their work appears in journals such as Fuzzy Sets and Systems, Journal of Intelligent & Fuzzy Systems, Information Sciences, Symmetry and Soft Computing.

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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