Mingai Li

1.1k citations
99 papers · 821 · h-index 18

Impact in

Papers in

Mingai Li

85 papers receiving 801 citations

Peers

Mingai Li
Comparison fields: 5 of 86
  • Cognitive Neuroscience 531
  • Human-Computer Interaction 98
  • Signal Processing 191
  • Cellular and Molecular Neuroscience 219
  • Computer Vision and Pattern Recognition 134
Replace Yonghao Song with:
Yonghao Song China
Banghua Yang China
Young-Eun Lee South Korea
Boyu Wang Canada
Hamdi Altaheri Saudi Arabia
Pramod Gaur India
M. Ramasubba Reddy India
Umut Orhan Türkiye
Hong Zeng China
Abbas Erfanian Iran
Mingai Li relative to Yonghao Song China Yonghao Song's profile →
Citations per field
00.5×20×40×57×
Yonghao Song · 1×
Citations per year

Countries citing papers authored by Mingai Li

Since Specialization
Citations

This map shows the geographic impact of Mingai Li'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 Mingai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingai Li more than expected).

Fields of papers citing papers by Mingai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingai Li. 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 Mingai Li. The network helps show where Mingai Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Mingai Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingai Li Line = papers co-authored together Mingai Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201944
3 201635
4 202133
5 201330
6 201630
7 201628
8 201928
9 200625
10 201623
11 201023
12 201722
13 201620
14 201919
15 200919
16 202219
17 202118
18 201118
19 201517
20 202115

About Mingai Li

Mingai Li is a scholar working on Cognitive Neuroscience, Signal Processing, Human-Computer Interaction, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience, having authored 99 papers that have together received 821 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (65 papers), Blind Source Separation Techniques (35 papers), Gaze Tracking and Assistive Technology (21 papers), Neuroscience and Neural Engineering (18 papers), Neural Networks and Applications (13 papers), Advanced Image and Video Retrieval Techniques (9 papers), Advanced Memory and Neural Computing (8 papers) and Advanced Algorithms and Applications (8 papers). The work is most often cited by research in Cognitive Neuroscience (531 citations), Human-Computer Interaction (98 citations), Signal Processing (191 citations), Cellular and Molecular Neuroscience (219 citations) and Computer Vision and Pattern Recognition (134 citations). Mingai Li has collaborated with scholars based in China, Iran and United States. Frequent co-authors include Jinfu Yang, Jinfu Yang, Lijuan Duan, Wei Zhu, Songmin Jia, Guanghui Wang, Xiaogang Ruan, Yan Cui, Meng Zhang and Junfei Qiao. Their work appears in journals such as Neurocomputing, IEEE Access, Biomedical Signal Processing and Control, Journal of Applied Biomedicine and Journal of Intelligent & Fuzzy Systems.

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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