Mingjiang Wang
- Signal Processing top 2%
- Speech and Audio Processing 45
- Blind Source Separation Techniques 16
- Music and Audio Processing 11
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis 25
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 12
- Hearing Loss and Rehabilitation 11
- Computational Mechanics top 10%
- Advanced Adaptive Filtering Techniques 30
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- Numerical Methods and Algorithms 11
In The Last Decade
Mingjiang Wang
122 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Signal Processing 324
- Artificial Intelligence 351
- Cognitive Neuroscience 171
- Computational Mechanics 140
- Computer Vision and Pattern Recognition 130
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 10 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 104 | |
| 17 | 2019 | 6 | |
| 18 | 2018 | 1 | |
| 19 | 2017 | 6 | |
| 20 | A Chinese word segmentation system design based on forward-backward maximum matching algorithm | 2009 | 3 |
About Mingjiang Wang
Mingjiang Wang is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, having authored 142 papers that have together received 1.1k 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), Music and Audio Processing (11 papers), Numerical Methods and Algorithms (11 papers) and Hearing Loss and Rehabilitation (11 papers). The work is most often cited by research in Signal Processing (324 citations), Artificial Intelligence (351 citations), Cognitive Neuroscience (171 citations), Computational Mechanics (140 citations) and Computer Vision and Pattern Recognition (130 citations). Mingjiang Wang has collaborated with scholars based in China, Pakistan and Hong Kong. Frequent co-authors include Qiquan Zhang, Wencheng Guo, Jiandong Yang, Yun Lu, Xu Lai, Aaron Nicolson, C.P. Wang, Kuldip K. Paliwal, Yufei Han and Chengxi Zhang. Their work appears in journals such as Electronics, Applied Sciences, IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and Measurement.
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.