Zhanghui Kuang
-
- Advanced Image and Video Retrieval Techniques 11
- Advanced Neural Network Applications 8
- Multimodal Machine Learning Applications 6
- Face recognition and analysis 5
- Visual Attention and Saliency Detection 4
- Video Surveillance and Tracking Methods 4
- Generative Adversarial Networks and Image Synthesis 3
- Media Technology top 2%
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 6
- Signal Processing top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Wei ZhangKenneth K. WongShuyang SunLu ShengWanli OuyangHao ZhouJianyong ChenLiyang Liu
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Image Processing (1 paper)Expert Systems with Applications (2 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Zhanghui Kuang
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 894
- Media Technology 141
- Artificial Intelligence 352
- Signal Processing 75
- Human-Computer Interaction 38
Countries citing papers authored by Zhanghui Kuang
This map shows the geographic impact of Zhanghui 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 Zhanghui Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanghui Kuang more than expected).
Fields of papers citing papers by Zhanghui Kuang
This network shows the impact of papers produced by Zhanghui 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 Zhanghui Kuang. The network helps show where Zhanghui Kuang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhanghui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2021 | 17 | |
| 3 | Towards Impartial Multi-task Learning | 2021 | 16 |
| 4 | 2021 | 5 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 50 | |
| 7 | 2020 | 16 | |
| 8 | 2019 | 60 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 25 | |
| 11 | 2018 | 35 | |
| 12 | 2013 | 2 | |
| 13 | 2012 | 16 | |
| 14 | 2012 | 127 | |
| 15 | 2011 | 2 | |
| 16 | 2010 | 0 | |
| 17 | 2008 | 16 | |
| 18 | 2002 | 15 | |
| 19 | 2000 | 11 | |
| 20 | 1999 | 12 |
About Zhanghui Kuang
Zhanghui Kuang is a scholar working on Computer Vision and Pattern Recognition, Radiation and Artificial Intelligence, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (11 papers), Advanced Neural Network Applications (8 papers), Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Face recognition and analysis (5 papers), Visual Attention and Saliency Detection (4 papers), Video Surveillance and Tracking Methods (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (894 citations), Media Technology (141 citations) and Artificial Intelligence (352 citations). Zhanghui Kuang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Wei Zhang, Kenneth K. Wong, Shuyang Sun, Lu Sheng, Wanli Ouyang, Hao Zhou, Jianyong Chen, Liyang Liu, Lingyu Liang and Lianwen Jin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.