Mingai Li

1.1k citations
94 papers · 807 · h-index 18

Impact in

Papers in

Mingai Li

84 papers receiving 784 citations

Peers

Mingai Li
Comparison fields: 5 of 88
  • Cognitive Neuroscience 533
  • Human-Computer Interaction 107
  • Signal Processing 205
  • Cellular and Molecular Neuroscience 233
  • Computer Vision and Pattern Recognition 133
Replace Boyu Wang with:
Boyu Wang Canada
Yonghao Song China
Young-Eun Lee South Korea
Banghua Yang China
Hamdi Altaheri Saudi Arabia
Chuang Lin China
M. Ramasubba Reddy India
Tomasz M. Rutkowski Japan
Pramod Gaur India
Hong Zeng China
Mingai Li relative to Boyu Wang Canada Boyu Wang's profile →
Citations per field
00.5×3.2×
Boyu Wang · 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 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201944
3 201633
4 202131
5 201330
6 201630
7 201928
8 201628
9 200624
10 201623
11 201023
12 201722
13 201620
14 202219
15 200919
16 201919
17 202118
18 201517
19 201117
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 Artificial Intelligence, having authored 94 papers that have together received 807 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (65 papers), Blind Source Separation Techniques (36 papers), Gaze Tracking and Assistive Technology (19 papers), Neuroscience and Neural Engineering (17 papers), Neural Networks and Applications (13 papers), Advanced Algorithms and Applications (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Memory and Neural Computing (9 papers). The work is most often cited by research in Cognitive Neuroscience (533 citations), Human-Computer Interaction (107 citations), Signal Processing (205 citations), Cellular and Molecular Neuroscience (233 citations) and Computer Vision and Pattern Recognition (133 citations). Mingai Li has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Jinfu Yang, Jinfu Yang, Lijuan Duan, Wei Zhu, Songmin Jia, Guanghui Wang, Dongmei Hao, Xiaogang Ruan, Yan Cui and Meng Zhang. Their work appears in journals such as Neurocomputing, IEEE Access, Journal of Intelligent & Fuzzy Systems, Biomedical Signal Processing and Control and Journal of Applied Biomedicine.

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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