Kun She

879 citations
45 papers · 672 · h-index 15

Impact in

Papers in

Kun She

41 papers receiving 663 citations

Peers

Kun She
Comparison fields: 5 of 90
  • Computational Theory and Mathematics 166
  • Computer Networks and Communications 226
  • Control and Systems Engineering 210
  • Geriatrics and Gerontology 22
  • Cancer Research 82
Replace Yongzhi Cao with:
Yongzhi Cao China
Xiaochun Ye China
Ming-Hung Lin Taiwan
Jian-Ping Mei China
Shixiong Xia China
Alok Kumar Shukla India
Yan Gu United States
Shubin Cai China
Yue Chen China
Bach Hoai Nguyen New Zealand
Kun She relative to Yongzhi Cao China Yongzhi Cao's profile →
Citations per field
00.5×3.7×
Yongzhi Cao · 1×
Citations per year

Countries citing papers authored by Kun She

Since Specialization
Citations

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

Fields of papers citing papers by Kun She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2 201763
3 202254
4 201642
5 202240
6 201236
7 202236
8 202327
9 202124
10 201921
11 201319
12 201217
13 202317
14 202216
15 202214
16 201613
17 202213
18 202212
19 201411
20 201211

About Kun She

Kun She is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Computational Theory and Mathematics, Information Systems and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 672 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (13 papers), Stability and Control of Uncertain Systems (10 papers), Smart Grid Security and Resilience (7 papers), Network Security and Intrusion Detection (6 papers), Data Mining Algorithms and Applications (6 papers), Image Processing and 3D Reconstruction (5 papers), Neural Networks Stability and Synchronization (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Computational Theory and Mathematics (166 citations), Computer Networks and Communications (226 citations), Control and Systems Engineering (210 citations), Geriatrics and Gerontology (22 citations) and Cancer Research (82 citations). Kun She has collaborated with scholars based in China, South Korea and Singapore. Frequent co-authors include Shouming Zhong, Kaibo Shi, Xiao Cai, Yeng Chai Soh, William Zhu, Kai Gao, Oh‐Min Kwon, Wei Pan, Yiqian Tang and Yue Yu. Their work appears in journals such as Fuzzy Sets and Systems, Applied Mathematics and Computation, ISA Transactions, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Transportation Electrification.

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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