Minghao Yang
Impact in
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- stochastic dynamics and bifurcation
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- Emotion and Mood Recognition
Papers in ⓘ
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- Advanced Neural Network Applications 7
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- Emotion and Mood Recognition 15
- Co-authors
- Jianhua Tao (31 shared papers)Huaguang Gu (13 shared papers)Ya Li (11 shared papers)Wei Ren (10 shared papers)Linlin Chao (9 shared papers)Zhiqiang Liu (8 shared papers)Zhengqi Wen (5 shared papers)Li Li (4 shared papers)
- Journals
- Electronics (7 papers)Neuroreport (4 papers)Sensors (4 papers)Physics Letters A (3 papers)The Science of The Total Environment (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Minghao Yang
104 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Statistical and Nonlinear Physics 343
- Experimental and Cognitive Psychology 324
- Cognitive Neuroscience 375
- Computer Vision and Pattern Recognition 303
- Signal Processing 148
Countries citing papers authored by Minghao Yang
This map shows the geographic impact of Minghao 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 Minghao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghao Yang more than expected).
Fields of papers citing papers by Minghao Yang
This network shows the impact of papers produced by Minghao 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 Minghao Yang. The network helps show where Minghao Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghao 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
Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 133 | |
| 2 | 2015 | 86 | |
| 3 | 2023 | 84 | |
| 4 | 2003 | 56 | |
| 5 | 2001 | 54 | |
| 6 | 2002 | 46 | |
| 7 | 2019 | 43 | |
| 8 | 2004 | 43 | |
| 9 | 2009 | 42 | |
| 10 | 2017 | 40 | |
| 11 | 2015 | 36 | |
| 12 | 2022 | 36 | |
| 13 | 2023 | 34 | |
| 14 | 2022 | 34 | |
| 15 | 2014 | 32 | |
| 16 | 2023 | 29 | |
| 17 | 2021 | 29 | |
| 18 | 2011 | 27 | |
| 19 | 2018 | 26 | |
| 20 | 2021 | 23 |
About Minghao Yang
Minghao Yang is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Signal Processing, Statistical and Nonlinear Physics and Metals and Alloys, having authored 118 papers that have together received 1.5k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (15 papers), Neural dynamics and brain function (12 papers), stochastic dynamics and bifurcation (11 papers), Speech and Audio Processing (9 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Advanced Neural Network Applications (7 papers), Robot Manipulation and Learning (7 papers) and Music and Audio Processing (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (343 citations), Experimental and Cognitive Psychology (324 citations), Cognitive Neuroscience (375 citations), Computer Vision and Pattern Recognition (303 citations) and Signal Processing (148 citations). Minghao Yang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Jianhua Tao, Huaguang Gu, Ya Li, Wei Ren, Linlin Chao, Zhiqiang Liu, Zhengqi Wen, Li Li, Kun Liu and Xiaobai Li. Their work appears in journals such as Electronics, Neuroreport, Sensors, Physics Letters A and The Science of The Total Environment.
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.