Kan Ren

1.4k citations
99 papers · 951 · h-index 18

Impact in

Papers in

    • Video Surveillance and Tracking Methods 17
    • Image Enhancement Techniques 10
    • Advanced Vision and Imaging 10
    • Advanced Image and Video Retrieval Techniques 9
    • Infrared Target Detection Methodologies 32
    • Robotics and Sensor-Based Localization 12

Kan Ren

83 papers receiving 921 citations

Peers

Kan Ren
Comparison fields: 5 of 94
  • Media Technology 273
  • Computer Vision and Pattern Recognition 428
  • Aerospace Engineering 417
  • Instrumentation 26
  • Acoustics and Ultrasonics 6
Replace Minjie Wan with:
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Kan Ren relative to Minjie Wan China Minjie Wan's profile →
Citations per field
00.5×1.5×2.3×
Minjie Wan · 1×
Citations per year

Countries citing papers authored by Kan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Kan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201653
2 201850
3 201944
4 201837
5 201735
6 202133
7 201632
8 201830
9 202128
10 202227
11 202226
12 202125
13 201824
14 201723
15 202122
16 202119
17 202419
18 201818
19 201517
20 202316

About Kan Ren

Kan Ren is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Media Technology and Computational Mechanics, having authored 99 papers that have together received 951 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (32 papers), Advanced Image Fusion Techniques (17 papers), Video Surveillance and Tracking Methods (17 papers), Advanced Measurement and Detection Methods (15 papers), Robotics and Sensor-Based Localization (12 papers), Image Enhancement Techniques (10 papers), Advanced Vision and Imaging (10 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Media Technology (273 citations), Computer Vision and Pattern Recognition (428 citations), Aerospace Engineering (417 citations), Instrumentation (26 citations) and Acoustics and Ultrasonics (6 citations). Kan Ren has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Qian Chen, Minjie Wan, Guohua Gu, Weixian Qian, Xavier Maldague, Guohua Gu, Xiaomin Zhang, Jiajie Wang, Mao Chen and Dongming Lu. Their work appears in journals such as Optik, Optical and Quantum Electronics, Remote Sensing, Applied Optics and Infrared Physics & Technology.

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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