Yi Ma
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Media Technology top 0.1%
- Remote-Sensing Image Classification
Papers in
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- Face and Expression Recognition 3
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- Flood Risk Assessment and Management 3
- Co-authors
- Arvind GaneshJohn WrightShankar SastryRenè VidalS. Shankar SastryStefano SoattoRuoxu ShangMihrimah Ozkan
- Journals
- Nanomaterials (2 papers)Journal of Power Sources (2 papers)iScience (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)IEEE Geoscience and Remote Sensing Letters (1 paper)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Yi Ma
37 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Computer Vision and Pattern Recognition 5.6k
- Media Technology 1.6k
- Signal Processing 1.5k
- Computational Mechanics 2.5k
- Computational Mathematics 59
Countries citing papers authored by Yi Ma
This map shows the geographic impact of Yi 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 Yi Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Ma more than expected).
Fields of papers citing papers by Yi Ma
This network shows the impact of papers produced by Yi 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 Yi Ma. The network helps show where Yi Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yi Ma, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 20 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 36 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 26 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 82 | |
| 20 | 2006 | 11 |
About Yi Ma
Yi Ma is a scholar working on Computer Vision and Pattern Recognition, Global and Planetary Change, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Computational Mechanics, having authored 41 papers that have together received 8.3k indexed citations. Recurring topics across this work include Advancements in Battery Materials (5 papers), Plasmonic and Surface Plasmon Research (3 papers), Flood Risk Assessment and Management (3 papers), Face and Expression Recognition (3 papers), Advanced Battery Materials and Technologies (3 papers), Sparse and Compressive Sensing Techniques (2 papers), Recycling and utilization of industrial and municipal waste in materials production (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.6k citations), Media Technology (1.6k citations), Signal Processing (1.5k citations), Computational Mechanics (2.5k citations) and Computational Mathematics (59 citations). Yi Ma has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Arvind Ganesh, John Wright, Shankar Sastry, Renè Vidal, S. Shankar Sastry, Stefano Soatto, Ruoxu Shang, Mihrimah Ozkan, Cengiz S. Ozkan and Kun Huang. Their work appears in journals such as Nanomaterials, Journal of Power Sources, iScience, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Geoscience and Remote Sensing Letters.
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.