Jin-Gang Yu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Aerospace Engineering top 10%
- Otorhinolaryngology top 5%
- Co-authors
- Yansheng LiYongjun ZhangYihua TanChangxin GaoJinwen TianGui-Song XiaYuanqing LiZhihui Zhu
- Topics
- Visual Attention and Saliency Detection (10 papers)Advanced Image and Video Retrieval Techniques (9 papers)Advanced Neural Network Applications (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Jin-Gang Yu
45 papers receiving 856 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 449
- Artificial Intelligence 229
- Media Technology 162
- Aerospace Engineering 114
- Otorhinolaryngology 78
Countries citing papers authored by Jin-Gang Yu
This map shows the geographic impact of Jin-Gang Yu'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-Gang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin-Gang Yu more than expected).
Fields of papers citing papers by Jin-Gang Yu
This network shows the impact of papers produced by Jin-Gang Yu. 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-Gang Yu. The network helps show where Jin-Gang Yu may publish in the future.
Co-authorship network of co-authors of Jin-Gang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Gang Yu. A scholar is included among the top collaborators of Jin-Gang Yu 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-Gang Yu. Jin-Gang Yu 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 | 26 | |
| 4 | 34 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 23 | |
| 8 | 7 | |
| 9 | 21 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 45 | |
| 13 | 2 | |
| 14 | 106 | |
| 15 | 10 | |
| 16 | 10 | |
| 17 | 3 | |
| 18 | 19 | |
| 19 | 23 | |
| 20 | 11 |
About Jin-Gang Yu
Jin-Gang Yu is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Otorhinolaryngology, having authored 47 papers that have together received 871 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (10 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (449 citations), Media Technology (162 citations) and Otorhinolaryngology (78 citations). Jin-Gang Yu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yansheng Li, Yongjun Zhang, Yihua Tan, Changxin Gao, Jinwen Tian, Gui-Song Xia, Yuanqing Li, Zhihui Zhu, Jiayi Ma and Nong Sang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.