Mingjiang Wang
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- AI in cancer detection
Papers in
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- Speech and Audio Processing 45
- Blind Source Separation Techniques 16
- Music and Audio Processing 11
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- Speech Recognition and Synthesis 25
- Co-authors
- Qiquan Zhang (17 shared papers)Jiandong Yang (2 shared papers)Yun Lu (17 shared papers)Xu Lai (1 shared paper)Aaron Nicolson (1 shared paper)Kuldip K. Paliwal (1 shared paper)C.P. Wang (1 shared paper)Yufei Han (12 shared papers)
In The Last Decade
Mingjiang Wang
122 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Signal Processing 345
- Artificial Intelligence 367
- Cognitive Neuroscience 173
- Computational Mechanics 151
- Experimental and Cognitive Psychology 88
Countries citing papers authored by Mingjiang Wang
This map shows the geographic impact of Mingjiang Wang'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 Mingjiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjiang Wang more than expected).
Fields of papers citing papers by Mingjiang Wang
This network shows the impact of papers produced by Mingjiang Wang. 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 Mingjiang Wang. The network helps show where Mingjiang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjiang Wang, 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 112 | |
| 2 | 2020 | 108 | |
| 3 | 2016 | 106 | |
| 4 | 2019 | 61 | |
| 5 | 2021 | 53 | |
| 6 | 2019 | 51 | |
| 7 | 2016 | 50 | |
| 8 | 2020 | 41 | |
| 9 | 2019 | 24 | |
| 10 | 2017 | 23 | |
| 11 | 2020 | 23 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 21 | |
| 14 | 2020 | 18 | |
| 15 | 2015 | 18 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 15 | |
| 18 | 2023 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2019 | 12 |
About Mingjiang Wang
Mingjiang Wang is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 144 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (45 papers), Advanced Adaptive Filtering Techniques (30 papers), Speech Recognition and Synthesis (25 papers), Blind Source Separation Techniques (16 papers), EEG and Brain-Computer Interfaces (12 papers), Hearing Loss and Rehabilitation (11 papers), Music and Audio Processing (11 papers) and Numerical Methods and Algorithms (10 papers). The work is most often cited by research in Signal Processing (345 citations), Artificial Intelligence (367 citations), Cognitive Neuroscience (173 citations), Computational Mechanics (151 citations) and Experimental and Cognitive Psychology (88 citations). Mingjiang Wang has collaborated with scholars based in China, Hong Kong and Pakistan. Frequent co-authors include Qiquan Zhang, Jiandong Yang, Yun Lu, Xu Lai, Aaron Nicolson, Kuldip K. Paliwal, C.P. Wang, Yufei Han, Wencheng Guo and Chengxi Zhang. Their work appears in journals such as Applied Sciences, Electronics, IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and Digital Signal 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.