Peng Chen

3.6k citations
198 papers · 2.4k · h-index 25

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Advanced Vision and Imaging
    • Video Surveillance and Tracking Methods
    • Visual Attention and Saliency Detection
  • Geology top 5%
    • 3D Surveying and Cultural Heritage

Papers in

Peng Chen

177 papers receiving 2.3k citations

Peers

Peng Chen
Comparison fields: 5 of 163
  • Computer Vision and Pattern Recognition 990
  • Geology 148
  • Media Technology 222
  • Signal Processing 260
  • Space and Planetary Science 28
Replace Ying He with:
Ying He China
Xinming Huang United States
Ying Wang China
Sang Uk Lee South Korea
Zichen Zhang China
Yan Wu China
David Page United States
Hui Cheng China
Hongmin Liu China
Peng Chen relative to Ying He China Ying He's profile →
Citations per field
00.5×
Ying He · 1×
Citations per year

Countries citing papers authored by Peng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Peng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015141
2 2021126
3 200984
4 202179
5 201772
6 201754
7 201953
8 202351
9 202350
10 201848
11 202045
12 202340
13 202439
14 202339
15 202038
16 202037
17 202035
18 202332
19 202331
20 202230

About Peng Chen

Peng Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Biomedical Engineering and Signal Processing, having authored 198 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (21 papers), Biometric Identification and Security (19 papers), Robotics and Sensor-Based Localization (19 papers), Advanced Image and Video Retrieval Techniques (18 papers), Optical Coherence Tomography Applications (17 papers), Video Surveillance and Tracking Methods (17 papers), Advanced Neural Network Applications (14 papers) and Human Pose and Action Recognition (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (990 citations), Geology (148 citations), Media Technology (222 citations), Signal Processing (260 citations) and Space and Planetary Science (28 citations). Peng Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ronghua Liang, Yilong Zhang, Haixia Wang, Yuanjie Dang, Haoran Liang, Xin Yang, Kwang‐Ting Cheng, Weilin Xu, Chong Huang and Ruohong Huan. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Multimedia, IEEE Transactions on Information Forensics and Security, Applied Sciences and IEEE Transactions on Biometrics Behavior and Identity Science.

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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