Jinzhuo Wang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Molecular Biology
- Co-authors
- Wenmin WangWen GaoRonggang WangYuxing LuWei WuChen XuJi WanPengcheng Zhao
- Topics
- Human Pose and Action Recognition (8 papers)Advanced Vision and Imaging (6 papers)Video Surveillance and Tracking Methods (5 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Jinzhuo Wang
31 papers receiving 289 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 174
- Artificial Intelligence 85
- Biomedical Engineering 51
- Radiology, Nuclear Medicine and Imaging 27
- Molecular Biology 25
Countries citing papers authored by Jinzhuo Wang
This map shows the geographic impact of Jinzhuo Wang'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 Jinzhuo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinzhuo Wang more than expected).
Fields of papers citing papers by Jinzhuo Wang
This network shows the impact of papers produced by Jinzhuo Wang. 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 Jinzhuo Wang. The network helps show where Jinzhuo Wang may publish in the future.
Co-authorship network of co-authors of Jinzhuo Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jinzhuo Wang. A scholar is included among the top collaborators of Jinzhuo Wang 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 Jinzhuo Wang. Jinzhuo Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 18 | |
| 9 | 28 | |
| 10 | 7 | |
| 11 | 13 | |
| 12 | 29 | |
| 13 | More Information Supervised Probabilistic Deep Face Embedding Learning | 1 |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 25 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition | 18 |
| 20 | 7 |
About Jinzhuo Wang
Jinzhuo Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 34 papers that have together received 299 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Advanced Vision and Imaging (6 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (174 citations), Health Informatics (7 citations) and Artificial Intelligence (85 citations). Jinzhuo Wang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Wenmin Wang, Wen Gao, Ronggang Wang, Yuxing Lu, Wei Wu, Chen Xu, Ji Wan, Pengcheng Zhao, Nannan Li and Shenglian Yao. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.
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.