Zheng-Jun Zha
- Computer Vision and Pattern Recognition top 0.05%
- Artificial Intelligence top 0.2%
- Media Technology top 0.1%
- Biomedical Engineering top 5%
- Information Systems top 1%
- Topics
- Advanced Image and Video Retrieval Techniques (97 papers)Multimodal Machine Learning Applications (85 papers)Human Pose and Action Recognition (63 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsIEEE Transactions on Industrial Electronics
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Zheng-Jun Zha
362 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Computer Vision and Pattern Recognition 9.3k
- Artificial Intelligence 3.7k
- Media Technology 1.5k
- Biomedical Engineering 940
- Information Systems 633
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 of co-authors of Zheng-Jun Zha
This figure shows the co-authorship network connecting the top 25 collaborators of Zheng-Jun Zha. A scholar is included among the top collaborators of Zheng-Jun Zha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zheng-Jun Zha. Zheng-Jun Zha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 20 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 60 | |
| 13 | 10 | |
| 14 | 59 | |
| 15 | Hierarchical Granularity Transfer Learning | 2 |
| 16 | 40 | |
| 17 | 33 | |
| 18 | 36 | |
| 19 | Answering Opinion Questions on Products by Exploiting Hierarchical Organization of Consumer Reviews | 23 |
| 20 | Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews | 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) and Human Pose and Action Recognition (63 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.