Zheng-Jun Zha
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Image and Video Retrieval Techniques 97
- Multimodal Machine Learning Applications 85
- Human Pose and Action Recognition 63
- Video Surveillance and Tracking Methods 54
- Image Retrieval and Classification Techniques 54
- Advanced Image Processing Techniques 44
- Image Enhancement Techniques 42
- Media Technology top 0.1%
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning 58
- Signal Processing top 1%
- Human-Computer Interaction top 1%
Zheng-Jun Zha
362 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Computer Vision and Pattern Recognition 9.3k
- Media Technology 1.5k
- Artificial Intelligence 3.7k
- Signal Processing 569
- Human-Computer Interaction 235
Countries citing papers authored by Zheng-Jun Zha
This map shows the geographic impact of Zheng-Jun Zha'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 Zheng-Jun Zha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng-Jun Zha more than expected).
Fields of papers citing papers by Zheng-Jun Zha
This network shows the impact of papers produced by Zheng-Jun Zha. 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 Zheng-Jun Zha. The network helps show where Zheng-Jun Zha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zheng-Jun Zha, 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 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 20 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 9 | |
| 12 | 2021 | 60 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 59 | |
| 15 | Hierarchical Granularity Transfer Learning | 2020 | 2 |
| 16 | 2019 | 40 | |
| 17 | 2019 | 33 | |
| 18 | 2019 | 36 | |
| 19 | Answering Opinion Questions on Products by Exploiting Hierarchical Organization of Consumer Reviews | 2012 | 23 |
| 20 | Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews | 2011 | 161 |
About Zheng-Jun Zha
Zheng-Jun Zha is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 380 papers that have together received 12.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (97 papers), Multimodal Machine Learning Applications (85 papers), Human Pose and Action Recognition (63 papers), Domain Adaptation and Few-Shot Learning (58 papers), Video Surveillance and Tracking Methods (54 papers), Image Retrieval and Classification Techniques (54 papers), Advanced Image Processing Techniques (44 papers) and Image Enhancement Techniques (42 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.3k citations), Media Technology (1.5k citations) and Artificial Intelligence (3.7k citations). Zheng-Jun Zha has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Meng Wang, Tat‐Seng Chua, Yongdong Zhang, Xueyang Fu, Jiebo Luo, Tao Mei, Yue Gao, Hongtao Xie, Richang Hong and Hanwang Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Industrial Electronics.
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.