Yanbo Fan
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Molecular Biology
- Computational Mechanics
- Co-authors
- Baoyuan WuYong ZhangJue WangTengfei WangQifeng ChenYujiu YangWei LiuBao-Gang Hu
- Topics
- Adversarial Robustness in Machine Learning (13 papers)Generative Adversarial Networks and Image Synthesis (8 papers)Anomaly Detection Techniques and Applications (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yanbo Fan
40 papers receiving 832 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 534
- Artificial Intelligence 341
- Signal Processing 94
- Molecular Biology 61
- Computational Mechanics 43
Countries citing papers authored by Yanbo Fan
This map shows the geographic impact of Yanbo Fan'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 Yanbo Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanbo Fan more than expected).
Fields of papers citing papers by Yanbo Fan
This network shows the impact of papers produced by Yanbo Fan. 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 Yanbo Fan. The network helps show where Yanbo Fan may publish in the future.
Co-authorship network of co-authors of Yanbo Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Yanbo Fan. A scholar is included among the top collaborators of Yanbo Fan 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 Yanbo Fan. Yanbo Fan 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 | 7 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 30 | |
| 6 | 14 | |
| 7 | 14 | |
| 8 | 16 | |
| 9 | 57 | |
| 10 | 39 | |
| 11 | 3 | |
| 12 | 31 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 29 | |
| 16 | Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations. | 2 |
| 17 | 2 | |
| 18 | 40 | |
| 19 | 17 | |
| 20 | Learning with Average Top-k Loss | 4 |
About Yanbo Fan
Yanbo Fan is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Graphics and Computer-Aided Design, having authored 44 papers that have together received 857 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (13 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Anomaly Detection Techniques and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (534 citations), Artificial Intelligence (341 citations) and Computer Graphics and Computer-Aided Design (35 citations). Yanbo Fan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Baoyuan Wu, Yong Zhang, Jue Wang, Tengfei Wang, Yong Zhang, Qifeng Chen, Yujiu Yang, Wei Liu, Bao-Gang Hu and Zhiyuan Yan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.
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.