Ping Jia
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
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- Emotion and Mood Recognition
Papers in
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- Face and Expression Recognition 6
- Face recognition and analysis 6
- Advanced Vision and Imaging 4
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- Advanced Measurement and Detection Methods 8
- Optical Systems and Laser Technology 8
- Co-authors
- Xiaofeng Liu (11 shared papers)Jane You (8 shared papers)B. V. K. Vijaya Kumar (6 shared papers)Peng Ding (3 shared papers)Weijian Deng (1 shared paper)Arjan Kuijper (1 shared paper)Lingsheng Kong (5 shared papers)Site Li (3 shared papers)
- Journals
- Sensors (6 papers)Optics Express (3 papers)Applied Optics (2 papers)Optik (2 papers)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ping Jia
49 papers receiving 776 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 469
- Experimental and Cognitive Psychology 199
- Media Technology 100
- Acoustics and Ultrasonics 7
- Signal Processing 66
Countries citing papers authored by Ping Jia
This map shows the geographic impact of Ping Jia'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 Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Jia more than expected).
Fields of papers citing papers by Ping Jia
This network shows the impact of papers produced by Ping Jia. 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 Jia. The network helps show where Ping Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Jia, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 156 | |
| 2 | 2018 | 149 | |
| 3 | 2018 | 78 | |
| 4 | 2018 | 51 | |
| 5 | 2019 | 32 | |
| 6 | 2018 | 27 | |
| 7 | 2019 | 24 | |
| 8 | 2017 | 21 | |
| 9 | 2018 | 19 | |
| 10 | 2013 | 19 | |
| 11 | 2019 | 17 | |
| 12 | 2018 | 17 | |
| 13 | 2017 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2018 | 15 | |
| 16 | 2012 | 14 | |
| 17 | 2019 | 12 | |
| 18 | 2020 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2015 | 8 |
About Ping Jia
Ping Jia is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, Media Technology and Computational Mechanics, having authored 55 papers that have together received 791 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (9 papers), Advanced Measurement and Detection Methods (8 papers), Optical Systems and Laser Technology (8 papers), Face and Expression Recognition (6 papers), Face recognition and analysis (6 papers), Calibration and Measurement Techniques (4 papers), Advanced Vision and Imaging (4 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (469 citations), Experimental and Cognitive Psychology (199 citations), Media Technology (100 citations), Acoustics and Ultrasonics (7 citations) and Signal Processing (66 citations). Ping Jia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaofeng Liu, Jane You, B. V. K. Vijaya Kumar, Peng Ding, Weijian Deng, Arjan Kuijper, Lingsheng Kong, Site Li, Zhihui Diao and Yang Zou. Their work appears in journals such as Sensors, Optics Express, Applied Optics, Optik and IEEE Access.
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.