Jin Tang
- Computer Vision and Pattern Recognition
- Aerospace Engineering
- Electrical and Electronic Engineering
- Media Technology
- Computer Networks and Communications
- Co-authors
- Zixing CaiFan GuoLei LiuYun XiaoChenglong LiLin ZhuXiaoping WangBo Jiang
- Topics
- Video Surveillance and Tracking Methods (5 papers)Advanced Vision and Imaging (4 papers)Image Enhancement Techniques (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologySafety, Risk, Reliability and Quality
- Journals
- Information FusionJournal of King Saud University - Computer and Information SciencesJournal of Applied Mathematics
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Jin Tang
8 papers receiving 84 citations
Peers
Comparison fields: 5 of 32
- Computer Vision and Pattern Recognition 50
- Aerospace Engineering 17
- Electrical and Electronic Engineering 15
- Media Technology 14
- Computer Networks and Communications 12
Countries citing papers authored by Jin Tang
This map shows the geographic impact of Jin 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 Jin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Tang more than expected).
Fields of papers citing papers by Jin Tang
This network shows the impact of papers produced by Jin 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 Jin Tang. The network helps show where Jin Tang may publish in the future.
Co-authorship network of co-authors of Jin Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Tang. A scholar is included among the top collaborators of Jin 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 Jin Tang. Jin 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 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 24 | |
| 8 | 10 | |
| 9 | Two New Magnetic Localization and Parameter Estimation Methods Under the Dipole Model | 5 |
| 10 | Target Positioning and Parameter Estimation Based on Magnetic Dipole Model | 11 |
About Jin Tang
Jin Tang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Safety, Risk, Reliability and Quality, having authored 10 papers that have together received 90 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Advanced Vision and Imaging (4 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (50 citations), Media Technology (14 citations) and Safety, Risk, Reliability and Quality (8 citations). Jin Tang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Zixing Cai, Fan Guo, Lei Liu, Yun Xiao, Chenglong Li, Lin Zhu, Xiaoping Wang, Bo Jiang, Yu Cheng and Yong Hao. Their work appears in journals such as Information Fusion, Journal of King Saud University - Computer and Information Sciences and Journal of Applied Mathematics.
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.