Mingyi Chen

600 citations
7 papers · 437 indexed · 1 hit paper · h-index 4
Topics
Emotion and Mood Recognition (2 papers)Wastewater Treatment and Nitrogen Removal (1 paper)Coal Properties and Utilization (1 paper)
Partner nations
ChinaUnited Kingdom

In The Last Decade

Mingyi Chen

7 papers receiving 418 citations

Hit Papers

3-D Convolutional Recurrent Neural Networks With Attentio...20182026202020232018100200300

Peers

Mingyi Chen
Comparison fields: 5 of 76
  • Signal Processing 275
  • Experimental and Cognitive Psychology 275
  • Artificial Intelligence 151
  • Computer Vision and Pattern Recognition 53
  • Cognitive Neuroscience 28
Replace Sandra Ottl with:
Sandra Ottl Germany
Andreas Tsiartas United States
Maurice Gerczuk Germany
Sergey Pugachevskiy Germany
Mohammed Abdelwahab United States
Zahi N. Karam United States
Tiantian Feng United States
Soroosh Mariooryad United States
Bagus Tris Atmaja Japan
Andreas Triantafyllopoulos Germany
Mingyi Chen relative to Sandra Ottl Germany Sandra Ottl's profile →
Citations per field
00.5×1.5×
Sandra Ottl · 1×
Citations per year

Countries citing papers authored by Mingyi Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mingyi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyi Chen. A scholar is included among the top collaborators of Mingyi Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingyi Chen. Mingyi Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2
3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognitionbreakdown →
355
3 45
4 6
5 25
6
Study on emotion feature analysis and recognition in speech signal: an overview
3
7
Simulation experiment and countermeasure control of filamentous dilation in activated sludge
1

About Mingyi Chen

Mingyi Chen is a scholar working on Geology, Experimental and Cognitive Psychology and Environmental Engineering, having authored 7 papers that have together received 437 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (2 papers), Wastewater Treatment and Nitrogen Removal (1 paper) and Coal Properties and Utilization (1 paper). The work is most often cited by research in Signal Processing (275 citations), Experimental and Cognitive Psychology (275 citations) and Artificial Intelligence (151 citations). Mingyi Chen has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Xuanji He, Han Zhang, Rebecca Lacey, Haifeng Wang, Jun Dong, Yuanping Cheng, Qingquan Liu, Shengli Kong, Hao Zhang and Ke Li. Their work appears in journals such as Remote Sensing, Brain Behavior and Immunity and IEEE Signal Processing Letters.

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.

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