Jinhui Tang
- Computer Vision and Pattern Recognition top 0.02%
- Artificial Intelligence top 0.1%
- Media Technology top 0.1%
- Civil and Structural Engineering top 0.5%
- Signal Processing top 0.5%
- Topics
- Advanced Image and Video Retrieval Techniques (160 papers)Image Retrieval and Classification Techniques (87 papers)Multimodal Machine Learning Applications (68 papers)
- Journals
- Advanced MaterialsNature CommunicationsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jinhui Tang
427 papers receiving 18.4k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Computer Vision and Pattern Recognition 13.3k
- Artificial Intelligence 5.5k
- Media Technology 1.9k
- Civil and Structural Engineering 1.2k
- Signal Processing 1.0k
Countries citing papers authored by Jinhui Tang
This map shows the geographic impact of Jinhui Tang'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 Jinhui Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinhui Tang more than expected).
Fields of papers citing papers by Jinhui Tang
This network shows the impact of papers produced by Jinhui Tang. 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 Jinhui Tang. The network helps show where Jinhui Tang may publish in the future.
Co-authorship network of co-authors of Jinhui Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Jinhui Tang. A scholar is included among the top collaborators of Jinhui Tang 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 Jinhui Tang. Jinhui Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 40 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 51 | |
| 13 | 23 | |
| 14 | 25 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 91 | |
| 19 | Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detectionbreakdown → | 270 |
| 20 | 209 |
About Jinhui Tang
Jinhui Tang is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Media Technology, having authored 459 papers that have together received 18.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (160 papers), Image Retrieval and Classification Techniques (87 papers) and Multimodal Machine Learning Applications (68 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (13.3k citations), Media Technology (1.9k citations) and Computational Mathematics (126 citations). Jinhui Tang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zechao Li, Tat‐Seng Chua, Richang Hong, Guo-Jun Qi, Haojie Li, Xiangbo Shu, Zhiping Luo, Yan-Tao Zheng, Shuicheng Yan and Liyan Zhang. Their work appears in journals such as Advanced Materials, Nature Communications and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.