Mingai Li

1.1k total citations
94 papers, 807 citations indexed

About

Mingai Li is a scholar working on Cognitive Neuroscience, Signal Processing and Human-Computer Interaction. According to data from OpenAlex, Mingai Li has authored 94 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Cognitive Neuroscience, 36 papers in Signal Processing and 20 papers in Human-Computer Interaction. Recurrent topics in Mingai Li's work include EEG and Brain-Computer Interfaces (65 papers), Blind Source Separation Techniques (36 papers) and Gaze Tracking and Assistive Technology (19 papers). Mingai Li is often cited by papers focused on EEG and Brain-Computer Interfaces (65 papers), Blind Source Separation Techniques (36 papers) and Gaze Tracking and Assistive Technology (19 papers). Mingai Li collaborates with scholars based in China, United States and Iran. Mingai Li's co-authors include Jinfu Yang, Jinfu Yang, Lijuan Duan, Wei Zhu, Songmin Jia, Guanghui Wang, Dongmei Hao, Xiaogang Ruan, Yan Cui and Meng Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Mingai Li

84 papers receiving 784 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingai Li China 18 533 233 205 148 141 94 807
Yonghao Song China 14 566 1.1× 155 0.7× 122 0.6× 130 0.9× 186 1.3× 29 797
Young-Eun Lee South Korea 12 496 0.9× 197 0.8× 118 0.6× 149 1.0× 73 0.5× 28 683
Nicholas R. Waytowich United States 14 457 0.9× 218 0.9× 122 0.6× 194 1.3× 151 1.1× 44 710
Boyu Wang Canada 18 486 0.9× 234 1.0× 143 0.7× 158 1.1× 300 2.1× 69 951
Banghua Yang China 18 855 1.6× 265 1.1× 312 1.5× 181 1.2× 155 1.1× 108 1.3k
Qingshan She China 19 591 1.1× 124 0.5× 161 0.8× 142 1.0× 240 1.7× 73 1.0k
Umut Orhan Türkiye 15 836 1.6× 200 0.9× 323 1.6× 121 0.8× 177 1.3× 50 1.1k
Sachin Taran India 14 582 1.1× 183 0.8× 229 1.1× 140 0.9× 95 0.7× 38 846
Vernon J. Lawhern United States 17 811 1.5× 231 1.0× 219 1.1× 205 1.4× 134 1.0× 40 999
Pramod Gaur India 13 729 1.4× 295 1.3× 244 1.2× 183 1.2× 111 0.8× 16 900

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-authorship network of co-authors of Mingai Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mingai Li. A scholar is included among the top collaborators of Mingai Li 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 Mingai Li. Mingai Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Jianhang, et al.. (2025). DA-META: A Dual Attention Meta-Learning Framework for Unsupervised Motor Imagery Decoding. IEEE Journal of Biomedical and Health Informatics. PP. 1–14.
2.
Li, Mingai, et al.. (2025). EEG-DTIL: An EEG-based dynamic task-incremental learning method for decoding ADL-oriented motor imagery pairs. Expert Systems with Applications. 296. 128927–128927.
3.
Li, Mingai, et al.. (2025). Generative Diffusion-Based Task Incremental Learning Method for Decoding Motor Imagery EEG. Brain Sciences. 15(2). 98–98. 2 indexed citations
4.
Li, Mingai, et al.. (2024). A session-incremental broad learning system for motor imagery EEG classification. Biomedical Signal Processing and Control. 97. 106717–106717. 5 indexed citations
5.
Wang, Linlin, et al.. (2024). Cortical ROI Importance Improves MI Decoding From EEG Using Fused Light Neural Network. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3636–3646. 2 indexed citations
6.
7.
Li, Mingai, et al.. (2024). CASCE: A Contrastive Representation Learning Framework for Motor Imagery EEG-Based Unilateral Upper Limb Decoding. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 2 indexed citations
8.
Xu, Dongqin, et al.. (2023). An adaptive cross-class transfer learning framework with two-level alignment. Biomedical Signal Processing and Control. 86. 105155–105155. 2 indexed citations
9.
Wang, Linlin & Mingai Li. (2023). Decoding motor imagery based on dipole feature imaging and a hybrid CNN with embedded squeeze-and-excitation block. Journal of Applied Biomedicine. 43(4). 751–762. 4 indexed citations
10.
11.
Duan, Lijuan, et al.. (2023). A Novel Feature Fusion Approach for Classification of Motor Imagery EEG Based on Hierarchical Extreme Learning Machine. Cognitive Computation. 16(2). 566–580. 2 indexed citations
12.
Li, Mingai & Ziyue Zhang. (2023). Adaptive Epilepsy Detection Based on Channel Selection and Dynamic CNN. 8503–8508. 1 indexed citations
13.
Duan, Lijuan, et al.. (2021). The Improved ELM Algorithms Optimized by Bionic WOA for EEG Classification of Brain Computer Interface. IEEE Access. 9. 67405–67416. 15 indexed citations
14.
Li, Mingai & Yuanyuan Zhang. (2021). An improved MAMA-EMD for the automatic removal of EOG artifacts. Journal of Applied Biomedicine. 41(3). 1182–1196. 6 indexed citations
15.
Li, Mingai, et al.. (2019). A Novel MI-EEG Imaging With the Location Information of Electrodes. IEEE Access. 8. 3197–3211. 44 indexed citations
16.
17.
Hao, Dongmei, et al.. (2015). Investigating the modulation of brain activity associated with handgrip force and fatigue. Technology and Health Care. 23(2_suppl). S427–S433. 8 indexed citations
18.
Li, Mingai, Yan Cui, & Jinfu Yang. (2013). Research on Removing Ocular Artifact Automatically From EEG Signals. Dianzi xuebao. 41(6). 1207–1213. 1 indexed citations
19.
Yu, Naigong, Mingai Li, & Xiaogang Ruan. (2005). APPLICATIONS OF CELLULAR AUTOMATA IN COMPLEX SYSTEM STUDY. Advances in experimental medicine and biology. 892. 125–168.
20.
Li, Mingai & Xiaogang Ruan. (2004). Optimal control with continuous hopfield neural network. 2. 758–762. 4 indexed citations

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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