Yue Gao
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Topics
- Robotic Locomotion and Control (15 papers)Reinforcement Learning in Robotics (9 papers)Prosthetics and Rehabilitation Robotics (8 papers)
- Journals
- PLoS ONEThe FASEB JournalIEEE Access
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Yue Gao
59 papers receiving 538 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 161
- Computer Vision and Pattern Recognition 94
- Cognitive Neuroscience 89
- Biomedical Engineering 67
- Radiology, Nuclear Medicine and Imaging 51
Countries citing papers authored by Yue Gao
This map shows the geographic impact of Yue 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 Yue Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Gao more than expected).
Fields of papers citing papers by Yue Gao
This network shows the impact of papers produced by Yue 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 Yue Gao. The network helps show where Yue Gao may publish in the future.
Co-authorship network of co-authors of Yue Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Yue Gao. A scholar is included among the top collaborators of Yue 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 Yue Gao. Yue 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 50 | |
| 15 | 1 | |
| 16 | Scale-Adv: A Joint Attack on Image-Scaling and Machine Learning Classifiers. | 1 |
| 17 | 9 | |
| 18 | 7 | |
| 19 | 23 | |
| 20 | Learning from Games: Inductive Bias and Bayesian Inference | 2 |
About Yue Gao
Yue Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Applied Psychology, having authored 71 papers that have together received 552 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (15 papers), Reinforcement Learning in Robotics (9 papers) and Prosthetics and Rehabilitation Robotics (8 papers). The work is most often cited by research in Neurology (48 citations), Transportation (38 citations) and Media Technology (48 citations). Yue Gao has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Sheng Zhong, Jingyu Hua, Manhua Liu, Shimon Edelman, Ruoyu Wang, Jun Shi, Jun Li, Aline M. Thomas, Shen Li and Di Li. Their work appears in journals such as PLoS ONE, The FASEB Journal 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.