Ping-Yang Chen
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
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- Industrial Vision Systems and Defect Detection
Papers in
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- Advanced Neural Network Applications 11
- Video Surveillance and Tracking Methods 9
- Human Pose and Action Recognition 2
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- Autonomous Vehicle Technology and Safety 8
- Co-authors
- Jun-Wei Hsieh (12 shared papers)Chien-Yao Wang (5 shared papers)Hong-Yuan Mark Liao (5 shared papers)Yueh-Hua Wu (1 shared paper)I-Hau Yeh (1 shared paper)Ming‐Ching Chang (8 shared papers)Yong‐Sheng Chen (6 shared papers)Jun‐Wei Hsieh (6 shared papers)
- Journals
- Sensors (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Transactions on Artificial Intelligence (1 paper)2022 IEEE International Conference on Image Processing (ICIP) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- TaiwanUnited Arab EmiratesUnited States
In The Last Decade
Ping-Yang Chen
20 papers receiving 3.4k citations
Ping-Yang Chen's Hit Papers
Peers
Comparison fields: 5 of 157
- Computer Vision and Pattern Recognition 2.1k
- Industrial and Manufacturing Engineering 510
- Media Technology 410
- Aerospace Engineering 525
- Safety, Risk, Reliability and Quality 180
Countries citing papers authored by Ping-Yang Chen
This map shows the geographic impact of Ping-Yang 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 Ping-Yang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping-Yang Chen more than expected).
Fields of papers citing papers by Ping-Yang Chen
This network shows the impact of papers produced by Ping-Yang 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 Ping-Yang Chen. The network helps show where Ping-Yang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping-Yang Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CSPNet: A New Backbone that can Enhance Learning Capability of CNN Hit paper breakdown → | 2020 | 3149 |
| 2 | 2020 | 79 | |
| 3 | 2023 | 39 | |
| 4 | 2024 | 38 | |
| 5 | 2022 | 38 | |
| 6 | 2023 | 28 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 16 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 7 | |
| 11 | 2023 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Ping-Yang Chen
Ping-Yang Chen is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Civil and Structural Engineering and Safety, Risk, Reliability and Quality, having authored 22 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (9 papers), Autonomous Vehicle Technology and Safety (8 papers), Infrastructure Maintenance and Monitoring (3 papers), Software Testing and Debugging Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Human Pose and Action Recognition (2 papers) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Industrial and Manufacturing Engineering (510 citations), Media Technology (410 citations), Aerospace Engineering (525 citations) and Safety, Risk, Reliability and Quality (180 citations). Ping-Yang Chen has collaborated with scholars based in Taiwan, United Arab Emirates and United States. Frequent co-authors include Jun-Wei Hsieh, Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, I-Hau Yeh, Ming‐Ching Chang, Yong‐Sheng Chen, Jun‐Wei Hsieh, Munkhjargal Gochoo and Fady Alnajjar. Their work appears in journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Artificial Intelligence, 2022 IEEE International Conference on Image Processing (ICIP) and arXiv (Cornell University).
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.