Mingyi Chen
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
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- Emotion and Mood Recognition
Papers in
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- Emotion and Mood Recognition 2
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- Groundwater flow and contamination studies 1
- Co-authors
- Xuanji He (2 shared papers)Rebecca Lacey (1 shared paper)Qingquan Liu (1 shared paper)Shengli Kong (1 shared paper)Hao Zhang (1 shared paper)Yuanping Cheng (1 shared paper)Haifeng Wang (1 shared paper)Jun Dong (1 shared paper)
- Journals
- Journal of Natural Gas Science and Engineering (1 paper)The Journal of Microbiology (1 paper)IEEE Signal Processing Letters (1 paper)Remote Sensing (1 paper)Brain Behavior and Immunity (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Mingyi Chen
7 papers receiving 428 citations
Mingyi Chen's Hit Papers
Peers
Comparison fields: 5 of 75
- Signal Processing 276
- Experimental and Cognitive Psychology 279
- Artificial Intelligence 155
- Computational Mathematics 2
- Behavioral Neuroscience 11
Countries citing papers authored by Mingyi Chen
This map shows the geographic impact of Mingyi Chen'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 Mingyi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyi Chen more than expected).
Fields of papers citing papers by Mingyi Chen
This network shows the impact of papers produced by Mingyi Chen. 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 Mingyi Chen. The network helps show where Mingyi Chen may publish in the future.
Co-authors
The 16 scholars most cited alongside Mingyi Chen, 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 | 3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition Hit paper breakdown → | 2018 | 365 |
| 2 | 2018 | 46 | |
| 3 | 2017 | 25 | |
| 4 | 2018 | 6 | |
| 5 | Study on emotion feature analysis and recognition in speech signal: an overview | 2007 | 3 |
| 6 | 2019 | 2 | |
| 7 | Simulation experiment and countermeasure control of filamentous dilation in activated sludge | 2004 | 1 |
About Mingyi Chen
Mingyi Chen is a scholar working on Experimental and Cognitive Psychology, Environmental Engineering, Pollution, Clinical Psychology and Control and Systems Engineering, having authored 7 papers that have together received 448 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (2 papers), Child Abuse and Trauma (1 paper), Soil erosion and sediment transport (1 paper), Speech Recognition and Synthesis (1 paper), Face recognition and analysis (1 paper), Coal Properties and Utilization (1 paper), Advanced Algorithms and Applications (1 paper) and Groundwater flow and contamination studies (1 paper). The work is most often cited by research in Signal Processing (276 citations), Experimental and Cognitive Psychology (279 citations), Artificial Intelligence (155 citations), Computational Mathematics (2 citations) and Behavioral Neuroscience (11 citations). Mingyi Chen has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Xuanji He, Rebecca Lacey, Qingquan Liu, Shengli Kong, Hao Zhang, Yuanping Cheng, Haifeng Wang, Jun Dong, Gen Zheng and Hongmei Zhang. Their work appears in journals such as Journal of Natural Gas Science and Engineering, The Journal of Microbiology, IEEE Signal Processing Letters, Remote Sensing and Brain Behavior and Immunity.
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.