Muli Yang
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
Papers in
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- Multimodal Machine Learning Applications 7
- Advanced Image and Video Retrieval Techniques 4
- Face and Expression Recognition 2
- Advanced Neural Network Applications 2
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- Domain Adaptation and Few-Shot Learning 12
- Machine Learning and Algorithms 2
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Cheng Deng (17 shared papers)Feiping Nie (1 shared paper)Kun Wei (4 shared papers)Hao Wang (2 shared papers)Xianglong Liu (2 shared papers)Dacheng Tao (2 shared papers)Xu Yang (2 shared papers)Aming Wu (5 shared papers)
In The Last Decade
Muli Yang
17 papers receiving 460 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 286
- Artificial Intelligence 296
- General Dentistry 6
- Media Technology 36
- Radiology, Nuclear Medicine and Imaging 74
Countries citing papers authored by Muli Yang
This map shows the geographic impact of Muli 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 Muli Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muli Yang more than expected).
Fields of papers citing papers by Muli Yang
This network shows the impact of papers produced by Muli 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 Muli Yang. The network helps show where Muli Yang may publish in the future.
Co-authors
The 20 scholars most cited alongside Muli 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 | 2018 | 112 | |
| 2 | 2019 | 80 | |
| 3 | 2022 | 69 | |
| 4 | 2020 | 60 | |
| 5 | 2020 | 41 | |
| 6 | 2022 | 27 | |
| 7 | 2022 | 23 | |
| 8 | 2021 | 20 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies | 2020 | 1 |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2025 | 0 |
About Muli Yang
Muli Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, General Health Professions and Information Systems, having authored 20 papers that have together received 466 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (7 papers), Advanced Image and Video Retrieval Techniques (4 papers), Face and Expression Recognition (2 papers), Machine Learning and Algorithms (2 papers), Advanced Neural Network Applications (2 papers), Statistical Distribution Estimation and Applications (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (286 citations), Artificial Intelligence (296 citations), General Dentistry (6 citations), Media Technology (36 citations) and Radiology, Nuclear Medicine and Imaging (74 citations). Muli Yang has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Cheng Deng, Feiping Nie, Kun Wei, Hao Wang, Xianglong Liu, Dacheng Tao, Xu Yang, Aming Wu, Junchi Yan and Yanhua Yang. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, Pattern Recognition, Computer Vision and Image Understanding and Open MIND.
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.