Yiren Zhao
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Hardware and Architecture
- Plant Science
- Co-authors
- Xitong GaoChengzhong XuRobert MullinsGeorge A. ConstantinidesXingjian LiDejing DouŁukasz DudziakIlia Shumailov
- Topics
- Advanced Neural Network Applications (8 papers)Adversarial Robustness in Machine Learning (6 papers)Domain Adaptation and Few-Shot Learning (6 papers)
- Journals
- International Journal of Molecular SciencesJournal of Plant Biochemistry and BiotechnologySpiral (Imperial College London)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Yiren Zhao
19 papers receiving 137 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 77
- Artificial Intelligence 70
- Electrical and Electronic Engineering 31
- Hardware and Architecture 11
- Plant Science 8
Countries citing papers authored by Yiren Zhao
This map shows the geographic impact of Yiren Zhao'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 Yiren Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiren Zhao more than expected).
Fields of papers citing papers by Yiren Zhao
This network shows the impact of papers produced by Yiren Zhao. 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 Yiren Zhao. The network helps show where Yiren Zhao may publish in the future.
Co-authorship network of co-authors of Yiren Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Yiren Zhao. A scholar is included among the top collaborators of Yiren Zhao 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 Yiren Zhao. Yiren Zhao 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 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | Markpainting: Adversarial Machine Learning meets Inpainting | 5 |
| 14 | Pay Attention to Features, Transfer Learn faster CNNs | 30 |
| 15 | 1 | |
| 16 | 19 | |
| 17 | 27 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 10 |
About Yiren Zhao
Yiren Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 22 papers that have together received 138 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Adversarial Robustness in Machine Learning (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (77 citations), Artificial Intelligence (70 citations) and Computational Mathematics (1 citation). Yiren Zhao has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Xitong Gao, Chengzhong Xu, Robert Mullins, George A. Constantinides, Xingjian Li, Dejing Dou, Łukasz Dudziak, Ilia Shumailov, John Wickerson and Junyi Liu. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Plant Biochemistry and Biotechnology and Spiral (Imperial College London).
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.