Ming Yang
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- Video Surveillance and Tracking Methods 32
- Advanced Image and Video Retrieval Techniques 27
- Human Pose and Action Recognition 19
- Advanced Neural Network Applications 13
- Image Retrieval and Classification Techniques 12
- Advanced Vision and Imaging 12
- Face recognition and analysis 11
- Multimodal Machine Learning Applications 9
- Signal Processing top 0.5%
- Media Technology top 0.5%
- Artificial Intelligence top 0.5%
- Human-Computer Interaction top 2%
- Co-authors
- Lior WolfMarc’Aurelio RanzatoYaniv TaigmanYing WuJunsong YuanKai YuShiliang ZhangYanhu Shan
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (9 papers)IEEE Transactions on Image Processing (7 papers)Electronics (2 papers)
- Partner nations
- United StatesChinaPakistan
In The Last Decade
Ming Yang
101 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Computer Vision and Pattern Recognition 5.9k
- Signal Processing 1.3k
- Media Technology 448
- Artificial Intelligence 1.6k
- Human-Computer Interaction 156
Countries citing papers authored by Ming Yang
This map shows the geographic impact of Ming Yang'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 Ming Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yang more than expected).
Fields of papers citing papers by Ming Yang
This network shows the impact of papers produced by Ming Yang. 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 Ming Yang. The network helps show where Ming Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming Yang, 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 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 3 | |
| 12 | 2021 | 1 | |
| 13 | 2019 | 138 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 12 | |
| 16 | 2011 | 65 | |
| 17 | 2011 | 43 | |
| 18 | A Novel Method of Multi-image Matching Using Image and Space Synthesis Information | 2009 | 0 |
| 19 | 2009 | 157 | |
| 20 | 2007 | 28 |
About Ming Yang
Ming Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Finance, Artificial Intelligence and Signal Processing, having authored 112 papers that have together received 7.5k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (32 papers), Advanced Image and Video Retrieval Techniques (27 papers), Human Pose and Action Recognition (19 papers), Advanced Neural Network Applications (13 papers), Image Retrieval and Classification Techniques (12 papers), Advanced Vision and Imaging (12 papers), Face recognition and analysis (11 papers) and Multimodal Machine Learning Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.9k citations), Signal Processing (1.3k citations), Media Technology (448 citations), Artificial Intelligence (1.6k citations) and Human-Computer Interaction (156 citations). Ming Yang has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Lior Wolf, Marc’Aurelio Ranzato, Yaniv Taigman, Ying Wu, Junsong Yuan, Kai Yu, Shiliang Zhang, Yanhu Shan, Xiaoyu Wang and Gang Hua. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, Electronics, IEEE Transactions on Multimedia and Information Sciences.
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.