Yan Ren

498 citations
51 papers · 343 · h-index 11

Impact in

Papers in

Yan Ren

44 papers receiving 332 citations

Peers

Yan Ren
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 113
  • Artificial Intelligence 123
  • Computational Theory and Mathematics 60
  • Space and Planetary Science 4
  • Media Technology 26
Replace Yongquan Zhang with:
Yongquan Zhang China
Vincent Hwang United States
Ali Amiri Iran
Feng Du China
Xiaojing Li China
Terence L. van Zyl South Africa
Lixiang Xu China
Feiyue Ye China
Yan Ren relative to Yongquan Zhang China Yongquan Zhang's profile →
Citations per field
00.5×3.3×
Yongquan Zhang · 1×
Citations per year

Countries citing papers authored by Yan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202135
2 201227
3 201526
4 201625
5 201121
6 201120
7 200920
8 201019
9 201819
10 201817
11 201814
12
NEW APPROACHES TO THE FUZZY CLUSTERING VIA AFS THEORY
20079
13 20148
14 20198
15 20237
16 20205
17 20185
18 20185
19 20244
20 20164

About Yan Ren

Yan Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Aerospace Engineering and Control and Systems Engineering, having authored 51 papers that have together received 343 indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Rough Sets and Fuzzy Logic (9 papers), Robotics and Sensor-Based Localization (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (6 papers), Face recognition and analysis (5 papers), Advanced Algorithms and Applications (4 papers) and Advanced Clustering Algorithms Research (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (113 citations), Artificial Intelligence (123 citations), Computational Theory and Mathematics (60 citations), Space and Planetary Science (4 citations) and Media Technology (26 citations). Yan Ren has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Xiaodong Liu, Wanquan Liu, Qilin Li, Ling Li, Wei Guan, Jiannong Cao, Wentao Li, Quanlong Feng, Baoguo Li and Bowen Niu. Their work appears in journals such as Information Sciences, Measurement Science and Technology, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Drones and Applied 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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