Ping Kuang
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Media Technology top 10%
Papers in
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- Human Pose and Action Recognition 7
- Video Surveillance and Tracking Methods 7
- Advanced Neural Network Applications 6
- Image Processing and 3D Reconstruction 6
- Generative Adversarial Networks and Image Synthesis 4
- Advanced Vision and Imaging 4
- Co-authors
- Wenhong Tian (4 shared papers)Ziwei Chen (2 shared papers)Fan Li (3 shared papers)Xi Li (1 shared paper)Fan Zhou (7 shared papers)Hongyu Huang (2 shared papers)Yuanlun Xie (1 shared paper)Xucheng Luo (1 shared paper)
In The Last Decade
Ping Kuang
52 papers receiving 261 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 118
- Media Technology 26
- Computer Graphics and Computer-Aided Design 9
- Geology 12
- Safety, Risk, Reliability and Quality 18
Countries citing papers authored by Ping Kuang
This map shows the geographic impact of Ping Kuang'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 Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Kuang more than expected).
Fields of papers citing papers by Ping Kuang
This network shows the impact of papers produced by Ping Kuang. 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 Kuang. The network helps show where Ping Kuang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Kuang, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 31 | |
| 2 | 2014 | 21 | |
| 3 | 2022 | 20 | |
| 4 | 2019 | 19 | |
| 5 | 2021 | 15 | |
| 6 | 2018 | 13 | |
| 7 | 2020 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2004 | 7 | |
| 13 | 2006 | 6 | |
| 14 | 2013 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2004 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2020 | 3 |
About Ping Kuang
Ping Kuang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications and Computational Mechanics, having authored 57 papers that have together received 271 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (6 papers), Image Processing and 3D Reconstruction (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers), 3D Shape Modeling and Analysis (4 papers), Advanced Vision and Imaging (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (118 citations), Media Technology (26 citations), Computer Graphics and Computer-Aided Design (9 citations), Geology (12 citations) and Safety, Risk, Reliability and Quality (18 citations). Ping Kuang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Wenhong Tian, Ziwei Chen, Fan Li, Xi Li, Fan Zhou, Hongyu Huang, Yuanlun Xie, Xucheng Luo, Jin Wu and Liang Peng. Their work appears in journals such as Applied Intelligence, IEEE Transactions on Knowledge and Data Engineering, Frontiers in Energy Research, Information Processing & Management and Remote Sensing.
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.