Jiale Cao
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Media Technology top 2%
Papers in
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- Advanced Neural Network Applications 30
- Video Surveillance and Tracking Methods 25
- Advanced Image and Video Retrieval Techniques 14
- Advanced Vision and Imaging 8
- Advanced Image Processing Techniques 6
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- Remote-Sensing Image Classification 5
- Image Processing Techniques and Applications 5
- Journals
- Neurocomputing (4 papers)IEEE Transactions on Circuits and Systems for Video Technology (4 papers)IEEE Transactions on Intelligent Transportation Systems (3 papers)IEEE Transactions on Image Processing (3 papers)Neural Networks (3 papers)
- Partner nations
- ChinaUnited KingdomUnited Arab Emirates
In The Last Decade
Jiale Cao
67 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 202
- Computer Graphics and Computer-Aided Design 60
- Artificial Intelligence 313
- Safety, Risk, Reliability and Quality 85
Countries citing papers authored by Jiale Cao
This map shows the geographic impact of Jiale Cao'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 Jiale Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiale Cao more than expected).
Fields of papers citing papers by Jiale Cao
This network shows the impact of papers produced by Jiale Cao. 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 Jiale Cao. The network helps show where Jiale Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiale Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 22 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 45 | |
| 15 | 2022 | 22 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 141 | |
| 18 | 2019 | 78 | |
| 19 | 2019 | 64 | |
| 20 | 2016 | 33 |
About Jiale Cao
Jiale Cao is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (30 papers), Video Surveillance and Tracking Methods (25 papers), Advanced Image and Video Retrieval Techniques (14 papers), Advanced Vision and Imaging (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Advanced Image Processing Techniques (6 papers), Remote-Sensing Image Classification (5 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (202 citations), Computer Graphics and Computer-Aided Design (60 citations), Artificial Intelligence (313 citations) and Safety, Risk, Reliability and Quality (85 citations). Jiale Cao has collaborated with scholars based in China, United Kingdom and United Arab Emirates. Frequent co-authors include Yanwei Pang, Xuelong Li, Xuelong Li, Fahad Shahbaz Khan, Ling Shao, Jin Xie, Yu Wang, Liangchen Song, Jialian Wu and Ming Yang. Their work appears in journals such as Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Image Processing and Neural Networks.
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.