Jia Bei
Impact in
- Nutrition and Dietetics top 10%
- Food composition and properties
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- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image and Video Quality Assessment
Papers in
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- Advanced Image and Video Retrieval Techniques 10
- Visual Attention and Saliency Detection 9
- Advanced Neural Network Applications 4
- Image Enhancement Techniques 2
- Image and Video Quality Assessment 2
- Video Surveillance and Tracking Methods 2
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- Infrared Target Detection Methodologies 3
- Co-authors
- Tongwei Ren (10 shared papers)Quanhong Li (1 shared paper)Chen Cheng (1 shared paper)Guoyong Yu (1 shared paper)Jing Zhao (1 shared paper)Yujin Zhu (1 shared paper)Guolin Feng (1 shared paper)Yan Liu (4 shared papers)
In The Last Decade
Jia Bei
20 papers receiving 395 citations
Peers
Comparison fields: 5 of 69
- Nutrition and Dietetics 128
- Computer Vision and Pattern Recognition 177
- Food Science 103
- Sensory Systems 23
- Human-Computer Interaction 24
Countries citing papers authored by Jia Bei
This map shows the geographic impact of Jia Bei'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 Jia Bei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Bei more than expected).
Fields of papers citing papers by Jia Bei
This network shows the impact of papers produced by Jia Bei. 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 Jia Bei. The network helps show where Jia Bei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia Bei, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 176 | |
| 2 | 2016 | 110 | |
| 3 | 2015 | 24 | |
| 4 | 2021 | 18 | |
| 5 | 2014 | 15 | |
| 6 | 2016 | 13 | |
| 7 | 2018 | 9 | |
| 8 | 2013 | 6 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2013 | 3 | |
| 13 | 2012 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2008 | 1 | |
| 20 | 2022 | 1 |
About Jia Bei
Jia Bei is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Artificial Intelligence and Mechanical Engineering, having authored 23 papers that have together received 397 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Visual Attention and Saliency Detection (9 papers), Advanced Neural Network Applications (4 papers), Infrared Target Detection Methodologies (3 papers), Image Enhancement Techniques (2 papers), Image and Video Quality Assessment (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Nutrition and Dietetics (128 citations), Computer Vision and Pattern Recognition (177 citations), Food Science (103 citations), Sensory Systems (23 citations) and Human-Computer Interaction (24 citations). Jia Bei has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Tongwei Ren, Quanhong Li, Chen Cheng, Guoyong Yu, Jing Zhao, Yujin Zhu, Guolin Feng, Yan Liu, Shujuan Hu and Sheng-hua Zhong. Their work appears in journals such as Multimedia Systems, Applied Sciences, International Journal of Architectural Heritage, International Journal of Advancements in Computing Technology and Food Chemistry.
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.