Hao Cai
Impact in
-
- Video Surveillance and Tracking Methods
- Image and Video Quality Assessment
- Face and Expression Recognition
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Media Technology top 10%
- Advanced Image Fusion Techniques
Papers in
-
- Image Enhancement Techniques 5
- Image and Video Quality Assessment 5
- Video Surveillance and Tracking Methods 5
- Human Pose and Action Recognition 3
- Face and Expression Recognition 3
- Advanced Image Processing Techniques 3
-
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Minglun Gong (10 shared papers)Mingjie Wang (6 shared papers)Yanshan Xiao (3 shared papers)Leida Li (4 shared papers)Bo Liu (1 shared paper)Xian-Feng Han (1 shared paper)Xingming Sun (1 shared paper)Yabin Zhang (1 shared paper)
In The Last Decade
Hao Cai
19 papers receiving 242 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 188
- Media Technology 40
- Artificial Intelligence 86
- Safety, Risk, Reliability and Quality 21
- Pharmacology 15
Countries citing papers authored by Hao Cai
This map shows the geographic impact of Hao Cai'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 Hao Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Cai more than expected).
Fields of papers citing papers by Hao Cai
This network shows the impact of papers produced by Hao Cai. 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 Hao Cai. The network helps show where Hao Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Cai, 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 | 2022 | 39 | |
| 2 | 2016 | 36 | |
| 3 | 2013 | 33 | |
| 4 | 2019 | 33 | |
| 5 | 2021 | 20 | |
| 6 | 2023 | 18 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2015 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2020 | 1 |
About Hao Cai
Hao Cai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Urban Studies and Atomic and Molecular Physics, and Optics, having authored 19 papers that have together received 243 indexed citations. Recurring topics across this work include Image Enhancement Techniques (5 papers), Image and Video Quality Assessment (5 papers), Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers), Face and Expression Recognition (3 papers), Advanced Image Processing Techniques (3 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Media Technology (40 citations), Artificial Intelligence (86 citations), Safety, Risk, Reliability and Quality (21 citations) and Pharmacology (15 citations). Hao Cai has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Minglun Gong, Mingjie Wang, Yanshan Xiao, Leida Li, Bo Liu, Xian-Feng Han, Xingming Sun, Yabin Zhang, Weisi Lin and Alex C. Kot. Their work appears in journals such as Applied Sciences, Journal of Visual Communication and Image Representation, IEEE Transactions on Image Processing, Applied Intelligence and European Journal of Medicinal 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.