Chih‐Yao Ma
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Aerospace Engineering
- Media Technology top 5%
- Co-authors
- Zsolt KiraGhassan AlRegibYen‐Cheng LiuZuxuan WuCaiming XiongMin-Hung ChenRichard SocherLarry S. Davis
- Topics
- Multimodal Machine Learning Applications (9 papers)Advanced Neural Network Applications (7 papers)Domain Adaptation and Few-Shot Learning (7 papers)
- Partner nations
- United StatesTaiwanIsrael
In The Last Decade
Chih‐Yao Ma
17 papers receiving 868 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 734
- Artificial Intelligence 413
- Biomedical Engineering 75
- Aerospace Engineering 72
- Media Technology 58
Countries citing papers authored by Chih‐Yao Ma
This map shows the geographic impact of Chih‐Yao Ma'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 Chih‐Yao Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Yao Ma more than expected).
Fields of papers citing papers by Chih‐Yao Ma
This network shows the impact of papers produced by Chih‐Yao Ma. 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 Chih‐Yao Ma. The network helps show where Chih‐Yao Ma may publish in the future.
Co-authorship network of co-authors of Chih‐Yao Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Yao Ma. A scholar is included among the top collaborators of Chih‐Yao Ma 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 Chih‐Yao Ma. Chih‐Yao Ma 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 | 5 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 81 | |
| 6 | Cross-Domain Adaptive Teacher for Object Detectionbreakdown → | 139 |
| 7 | 29 | |
| 8 | 9 | |
| 9 | 100 | |
| 10 | Self-Monitoring Navigation Agent via Auxiliary Progress Estimation | 26 |
| 11 | 98 | |
| 12 | 123 | |
| 13 | 80 | |
| 14 | 155 | |
| 15 | 21 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 13 |
About Chih‐Yao Ma
Chih‐Yao Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 18 papers that have together received 898 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (9 papers), Advanced Neural Network Applications (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (734 citations), Artificial Intelligence (413 citations) and Human-Computer Interaction (53 citations). Chih‐Yao Ma has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Zsolt Kira, Ghassan AlRegib, Yen‐Cheng Liu, Zuxuan Wu, Caiming Xiong, Min-Hung Chen, Richard Socher, Larry S. Davis, Chia-Wen Kuo and Junjiao Tian. Their work appears in journals such as Journal of Vision, Signal Processing Image Communication and Journal of Display Technology.
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.