Ming Yin
- Computational Mathematics top 1%
- Media Technology top 0.2%
- Remote-Sensing Image Classification 9
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- Face and Expression Recognition 16
- Image and Signal Denoising Methods 10
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- Neuroscience and Neural Engineering 27
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- Advanced Memory and Neural Computing 16
- HVDC Systems and Fault Protection 16
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- EEG and Brain-Computer Interfaces 20
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- Sparse and Compressive Sensing Techniques 17
- Co-authors
- Junbin GaoZhouchen LinXiaoning LiuYü LiuXun ChenMaysam GhovanlooGengyin LiDavid A. Borton
- Journals
- Applied Physics Letters (5 papers)Journal of Applied Physics (3 papers)Neurocomputing (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ming Yin
180 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Computational Mathematics 99
- Media Technology 897
- Computer Vision and Pattern Recognition 1.4k
- Cellular and Molecular Neuroscience 604
- Electrical and Electronic Engineering 1.4k
Countries citing papers authored by Ming Yin
This map shows the geographic impact of Ming Yin'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 Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yin more than expected).
Fields of papers citing papers by Ming Yin
This network shows the impact of papers produced by Ming Yin. 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 Yin. The network helps show where Ming Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming Yin, 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 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 3 | |
| 11 | Topology Optimization of Magnetic Actuator based on Reluctance Network Modeling and Adjoint Variable Method | 2023 | 0 |
| 12 | 2023 | 1 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 21 | |
| 15 | 2019 | 24 | |
| 16 | Image Super-resolution Reconstruction Based on Interpolation and Shearlet Fusion | 2015 | 1 |
| 17 | Sensor Selection and Location Scheme for Prognostic and Health Management | 2013 | 3 |
| 18 | Investigation on the Recrystallization Behaviour of Cold Deformed MP159 Alloy | 2009 | 1 |
| 19 | 2008 | 20 | |
| 20 | Study on the Heat-mass Transfer in Falling Film outside the Vertical Tube for Water Vapor Absorption into Aqueous Lithium Bromide | 2002 | 3 |
About Ming Yin
Ming Yin is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Media Technology, Cellular and Molecular Neuroscience and Energy Engineering and Power Technology, having authored 196 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (27 papers), EEG and Brain-Computer Interfaces (20 papers), Sparse and Compressive Sensing Techniques (17 papers), Advanced Memory and Neural Computing (16 papers), Face and Expression Recognition (16 papers), HVDC Systems and Fault Protection (16 papers), Image and Signal Denoising Methods (10 papers) and Remote-Sensing Image Classification (9 papers). The work is most often cited by research in Computational Mathematics (99 citations), Media Technology (897 citations), Computer Vision and Pattern Recognition (1.4k citations), Cellular and Molecular Neuroscience (604 citations) and Electrical and Electronic Engineering (1.4k citations). Ming Yin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junbin Gao, Zhouchen Lin, Xiaoning Liu, Yü Liu, Xun Chen, Maysam Ghovanloo, Gengyin Li, David A. Borton, Juan Aceros and Ming Zhou. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics, Neurocomputing, IEEE Transactions on Magnetics and IEEE Transactions on Image Processing.
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.