Zeren Gao
- Computer Vision and Pattern Recognition top 2%
- Immunology top 5%
- Molecular Biology
- Oncology top 10%
- Media Technology top 1%
- Co-authors
- Qingchuan ZhangYong SuXiaohai XuDavid L. GarbersShangquan WuBrian A. FoxAlessandro MorettaJacob J. Kennedy
- Topics
- Optical measurement and interference techniques (27 papers)Advanced Vision and Imaging (14 papers)Image Processing Techniques and Applications (14 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Experimental MedicineJournal of Power Sources
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Zeren Gao
43 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 597
- Immunology 519
- Molecular Biology 369
- Oncology 349
- Media Technology 267
Countries citing papers authored by Zeren Gao
This map shows the geographic impact of Zeren Gao'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 Zeren Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeren Gao more than expected).
Fields of papers citing papers by Zeren Gao
This network shows the impact of papers produced by Zeren Gao. 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 Zeren Gao. The network helps show where Zeren Gao may publish in the future.
Co-authorship network of co-authors of Zeren Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Zeren Gao. A scholar is included among the top collaborators of Zeren Gao 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 Zeren Gao. Zeren Gao 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 20 | |
| 11 | 10 | |
| 12 | 46 | |
| 13 | 30 | |
| 14 | 88 | |
| 15 | 21 | |
| 16 | The B7 family member B7-H6 is a tumor cell ligand for the activating natural killer cell receptor NKp30 in humansbreakdown → | 526 |
| 17 | 233 | |
| 18 | 90 | |
| 19 | 13 | |
| 20 | 14 |
About Zeren Gao
Zeren Gao is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Instrumentation, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (27 papers), Advanced Vision and Imaging (14 papers) and Image Processing Techniques and Applications (14 papers). The work is most often cited by research in Media Technology (267 citations), Computer Vision and Pattern Recognition (597 citations) and Immunology (519 citations). Zeren Gao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qingchuan Zhang, Yong Su, Xiaohai Xu, David L. Garbers, Shangquan Wu, Brian A. Fox, Alessandro Moretta, Jacob J. Kennedy, Christian Chabannon and Steven D. Levin. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Power Sources.
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.