Yang Gao
Impact in
-
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Advanced Neural Network Applications 39
- Multimodal Machine Learning Applications 25
- Medical Image Segmentation Techniques 24
- Advanced Image and Video Retrieval Techniques 23
- Face recognition and analysis 17
- Face and Expression Recognition 16
-
- Domain Adaptation and Few-Shot Learning 27
- Reinforcement Learning in Robotics 26
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (12 papers)IEEE Transactions on Medical Imaging (9 papers)IEEE Transactions on Cybernetics (7 papers)IEEE Transactions on Image Processing (6 papers)Pattern Recognition (6 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yang Gao
226 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Computer Vision and Pattern Recognition 2.6k
- Artificial Intelligence 2.7k
- Media Technology 317
- Radiology, Nuclear Medicine and Imaging 821
- Health Informatics 45
Countries citing papers authored by Yang Gao
This map shows the geographic impact of Yang 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 Yang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Gao more than expected).
Fields of papers citing papers by Yang Gao
This network shows the impact of papers produced by Yang 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 Yang Gao. The network helps show where Yang Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 19 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 68 | |
| 16 | 2019 | 40 | |
| 17 | 2019 | 106 | |
| 18 | 2018 | 15 | |
| 19 | 2018 | 71 | |
| 20 | 2011 | 1 |
About Yang Gao
Yang Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research, Neurology and Media Technology, having authored 249 papers that have together received 5.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (39 papers), Domain Adaptation and Few-Shot Learning (27 papers), Reinforcement Learning in Robotics (26 papers), Multimodal Machine Learning Applications (25 papers), Medical Image Segmentation Techniques (24 papers), Advanced Image and Video Retrieval Techniques (23 papers), Face recognition and analysis (17 papers) and Face and Expression Recognition (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Artificial Intelligence (2.7k citations), Media Technology (317 citations), Radiology, Nuclear Medicine and Imaging (821 citations) and Health Informatics (45 citations). Yang Gao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yinghuan Shi, Jing Huo, Lei Wang, Lei Qi, Wenbin Li, Guido Gerig, Paul A. Yushkevich, Jiebo Luo, Jinglin Xu and Dinggang Shen. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Medical Imaging, IEEE Transactions on Cybernetics, IEEE Transactions on Image Processing and Pattern Recognition.
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.