Qun Ren

560 citations
28 papers · 373 indexed · h-index 12
Topics
Fuzzy Logic and Control Systems (18 papers)Neural Networks and Applications (11 papers)Advanced machining processes and optimization (10 papers)
Partner nations
CanadaPolandChina

In The Last Decade

Qun Ren

26 papers receiving 347 citations

Peers

Qun Ren
Comparison fields: 5 of 53
  • Mechanical Engineering 210
  • Artificial Intelligence 129
  • Electrical and Electronic Engineering 119
  • Control and Systems Engineering 102
  • Biomedical Engineering 61
Replace Jun-Hong Zhou with:
Jun-Hong Zhou Singapore
Wen-An Yang China
Muheng Wei China
Tao Zan China
Chi‐Huang Lu Taiwan
Mark Howell United Kingdom
K. Liu United States
Guoxi Sun China
Chris Mechefske Canada
Zhenling Mo China
Qun Ren relative to Jun-Hong Zhou Singapore Jun-Hong Zhou's profile →
Citations per field
00.5×1.5×2.1×
Jun-Hong Zhou · 1×
Citations per year

Countries citing papers authored by Qun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Qun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qun Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Qun Ren. A scholar is included among the top collaborators of Qun Ren 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 Qun Ren. Qun Ren 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
#WorkIndexed citations
1 0
2 21
3 11
4 1
5 5
6 27
7 3
8 3
9 78
10
TYPE-2 TAKAGI-SUGENO-KANG FUZZY LOGIC SYSTEM AND UNCERTAINTY IN MACHINING
1
11 16
12 21
13 6
14 33
15 9
16 13
17 11
18 4
19
Sensitivity analysis for type-1 and type-2 TSK fuzzy models
3
20 5

About Qun Ren

Qun Ren is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanical Engineering, having authored 28 papers that have together received 373 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (18 papers), Neural Networks and Applications (11 papers) and Advanced machining processes and optimization (10 papers). The work is most often cited by research in Mechanical Engineering (210 citations), Industrial and Manufacturing Engineering (49 citations) and Control and Systems Engineering (102 citations). Qun Ren has collaborated with scholars based in Canada, Poland and China. Frequent co-authors include Luc Baron, Marek Balazinski, Krzysztof Jemielniak, Ruxandra Mihaela Botez, Pascal Bigras, Sofiane Achiche, Yuliang He, Lionel Birglen, Benyue Su and Hao Jiang. Their work appears in journals such as Information Sciences, Applied Soft Computing and Knowledge-Based 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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