Ming Yin
Impact in
- Computational Mathematics top 1%
- Media Technology top 0.2%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
Papers in
-
- HVDC Systems and Fault Protection 16
- Advanced Memory and Neural Computing 15
- High-Voltage Power Transmission Systems 9
-
- Face and Expression Recognition 16
- Image and Signal Denoising Methods 10
- Co-authors
- Junbin Gao (17 shared papers)Zhouchen Lin (2 shared papers)Yü Liu (1 shared paper)Xiaoning Liu (1 shared paper)Xun Chen (1 shared paper)Maysam Ghovanloo (10 shared papers)Gengyin Li (11 shared papers)David A. Borton (6 shared papers)
- Journals
- Applied Physics Letters (5 papers)Neurocomputing (3 papers)IEEE Transactions on Magnetics (3 papers)Journal of Applied Physics (3 papers)Biomedical Signal Processing and Control (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ming Yin
185 papers receiving 4.5k citations
Ming Yin's Hit Papers
Peers
Comparison fields: 5 of 173
- Computational Mathematics 102
- Media Technology 905
- Computer Vision and Pattern Recognition 1.4k
- Cellular and Molecular Neuroscience 577
- Neurology 195
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-authors
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
Showing the 20 most-cited of 200 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain Hit paper breakdown → | 2018 | 448 |
| 2 | Laplacian Regularized Low-Rank Representation and Its Applications Hit paper breakdown → | 2015 | 355 |
| 3 | 2013 | 242 | |
| 4 | 2007 | 225 | |
| 5 | Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review Hit paper breakdown → | 2022 | 193 |
| 6 | 2018 | 161 | |
| 7 | 2014 | 131 | |
| 8 | 2013 | 115 | |
| 9 | 2016 | 112 | |
| 10 | 2022 | 106 | |
| 11 | 2015 | 106 | |
| 12 | 2007 | 99 | |
| 13 | 2022 | 86 | |
| 14 | 2018 | 84 | |
| 15 | 2014 | 81 | |
| 16 | 2019 | 73 | |
| 17 | 2020 | 70 | |
| 18 | 2019 | 57 | |
| 19 | 2018 | 56 | |
| 20 | 2009 | 54 |
About Ming Yin
Ming Yin is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Control and Systems Engineering and Biomedical Engineering, having authored 200 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (28 papers), EEG and Brain-Computer Interfaces (19 papers), Sparse and Compressive Sensing Techniques (17 papers), Face and Expression Recognition (16 papers), HVDC Systems and Fault Protection (16 papers), Advanced Memory and Neural Computing (15 papers), Image and Signal Denoising Methods (10 papers) and High-Voltage Power Transmission Systems (9 papers). The work is most often cited by research in Computational Mathematics (102 citations), Media Technology (905 citations), Computer Vision and Pattern Recognition (1.4k citations), Cellular and Molecular Neuroscience (577 citations) and Neurology (195 citations). Ming Yin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junbin Gao, Zhouchen Lin, Yü Liu, Xiaoning 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, Neurocomputing, IEEE Transactions on Magnetics, Journal of Applied Physics and Biomedical Signal Processing and Control.
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.