Dihong Gong
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Biomedical Engineering
- Information Systems top 10%
- Co-authors
- Wei LiuZhifeng LiHao WangZheng ZhouYitong WangJingchao ZhouXing JiDacheng Tao
- Topics
- Face recognition and analysis (18 papers)Face and Expression Recognition (14 papers)Biometric Identification and Security (10 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingJournal of Ethnopharmacology
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dihong Gong
30 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 2.2k
- Signal Processing 1.1k
- Artificial Intelligence 630
- Biomedical Engineering 88
- Information Systems 83
Countries citing papers authored by Dihong Gong
This map shows the geographic impact of Dihong Gong'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 Dihong Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dihong Gong more than expected).
Fields of papers citing papers by Dihong Gong
This network shows the impact of papers produced by Dihong Gong. 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 Dihong Gong. The network helps show where Dihong Gong may publish in the future.
Co-authorship network of co-authors of Dihong Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Dihong Gong. A scholar is included among the top collaborators of Dihong Gong 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 Dihong Gong. Dihong Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 72 | |
| 4 | 12 | |
| 5 | 152 | |
| 6 | 68 | |
| 7 | 162 | |
| 8 | CosFace: Large Margin Cosine Loss for Deep Face Recognitionbreakdown → | 1689 |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 31 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 60 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 33 | |
| 19 | 10 | |
| 20 | 7 |
About Dihong Gong
Dihong Gong is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Complementary and alternative medicine, having authored 30 papers that have together received 2.7k indexed citations. Recurring topics across this work include Face recognition and analysis (18 papers), Face and Expression Recognition (14 papers) and Biometric Identification and Security (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Signal Processing (1.1k citations) and Artificial Intelligence (630 citations). Dihong Gong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wei Liu, Zhifeng Li, Hao Wang, Zheng Zhou, Yitong Wang, Jingchao Zhou, Xing Ji, Zhifeng Li, Dacheng Tao and Xuelong Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Journal of Ethnopharmacology.
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.