Mingyang Li

1.6k total citations · 1 hit paper
48 papers, 1.2k citations indexed

About

Mingyang Li is a scholar working on Cognitive Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mingyang Li has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 27 papers in Signal Processing and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mingyang Li's work include EEG and Brain-Computer Interfaces (34 papers), Blind Source Separation Techniques (25 papers) and ECG Monitoring and Analysis (9 papers). Mingyang Li is often cited by papers focused on EEG and Brain-Computer Interfaces (34 papers), Blind Source Separation Techniques (25 papers) and ECG Monitoring and Analysis (9 papers). Mingyang Li collaborates with scholars based in China, Hong Kong and Macao. Mingyang Li's co-authors include Wanzhong Chen, Tao Zhang, Tao Zhang, Yun Jiang, Tao Zhang, Tao Zhang, Yang You, Xiaoying Sun, You Yang and Tao Zhang and has published in prestigious journals such as International Journal of Molecular Sciences, Neuroscience and IEEE Access.

In The Last Decade

Mingyang Li

42 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EEG emotion recognition using attention-based convolutional transformer neural network

2023 76 citations Mingyang Li, Tao Zhang et al. Biomedical Signal Processing and Control profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingyang Li China	19	976	527	277	171	123	48	1.2k
Wanzhong Chen China	22	1.3k 1.3×	686 1.3×	343 1.2×	237 1.4×	186 1.5×	83	1.7k
S. Raghu India	14	812 0.8×	468 0.9×	201 0.7×	166 1.0×	70 0.6×	21	1.1k
Rajamanickam Yuvaraj Singapore	21	1.3k 1.3×	308 0.6×	312 1.1×	177 1.0×	137 1.1×	48	1.8k
Rui Cao China	19	1.2k 1.2×	306 0.6×	247 0.9×	122 0.7×	91 0.7×	43	1.4k
Mehmet İsmail Gürsoy Türkiye	7	721 0.7×	399 0.8×	130 0.5×	189 1.1×	129 1.0×	14	963
Emina Aličković Sweden	13	865 0.9×	343 0.7×	270 1.0×	290 1.7×	41 0.3×	38	1.4k
Umut Orhan Türkiye	15	836 0.9×	323 0.6×	131 0.5×	177 1.0×	200 1.6×	50	1.1k
Abhay Upadhyay India	15	578 0.6×	327 0.6×	260 0.9×	121 0.7×	70 0.6×	51	1.1k
Yusuf Uzzaman Khan India	16	1.0k 1.1×	649 1.2×	245 0.9×	175 1.0×	212 1.7×	80	1.2k
Fabio La Foresta Italy	18	743 0.8×	423 0.8×	306 1.1×	89 0.5×	87 0.7×	58	1.3k

Countries citing papers authored by Mingyang Li

Since Specialization

Citations

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

Fields of papers citing papers by Mingyang Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyang Li

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Tao, et al.. (2025). DAFF-SNN: Dual Attention-Driven and Feature Fusion-Based Spiking Neural Network for Epilepsy Detection Based on Electroencephalogram. IEEE Journal of Biomedical and Health Informatics. 30(1). 315–327.

Zheng, Shuang, Wenao Ma, Lin Mu, et al.. (2025). CT-based artificial intelligence system complementing deep learning model and radiologist for liver fibrosis staging. iScience. 28(4). 112224–112224.

Li, Mingyang, et al.. (2025). Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment. 28176–28187.

Li, Mingyang, et al.. (2024). A Fully-Parallel Reconfigurable Spiking Neural Network Accelerator with Structured Sparse Connections. 1–5. 2 indexed citations

Chen, Wanzhong, et al.. (2024). Emotion recognition using cross-modal attention from EEG and facial expression. Knowledge-Based Systems. 304. 112587–112587. 10 indexed citations

Liu, Chang, Wanzhong Chen, & Mingyang Li. (2024). A hybrid EEG classification model using layered cascade deep learning architecture. Medical & Biological Engineering & Computing. 62(7). 2213–2229. 3 indexed citations

Lu, Chong, Yong Xia, Chen Sun, et al.. (2024). Panel containing three serum microRNAs: a promising biomarker for early detection of bladder cancer. Frontiers in Oncology. 14. 1470457–1470457.

Li, Mingyang, et al.. (2023). Emotion recognition from multiple physiological signals using intra- and inter-modality attention fusion network. Digital Signal Processing. 144. 104278–104278. 24 indexed citations

Chen, Wanzhong, et al.. (2023). The application of hybrid feature based on local mean decomposition for motor imagery electroencephalogram signal classification. Asian Journal of Control. 25(5). 3305–3317. 2 indexed citations

10.

Yang, Tao, et al.. (2023). A Sentence-BERT-based Model for Expressing Key Features of Hospital Web Logs. 467–470.

11.

Chen, Wanzhong, et al.. (2023). Initiative, Immersive Human–Computer Interactions: Software-Defined Memristive Neural Networks for Nonlinear Heterogeneous Scheme in Internet of Brains. IEEE Internet of Things Journal. 11(8). 13355–13371. 6 indexed citations

12.

Meng, Hongmei, Yudan Lv, Jiqing Qiu, et al.. (2021). An Overview of EEG-based Machine Learning Methods in Seizure Prediction and Opportunities for Neurologists in this Field. Neuroscience. 481. 197–218. 36 indexed citations

13.

Jiang, Yun, Wanzhong Chen, Mingyang Li, Tao Zhang, & You Yang. (2021). Synchroextracting chirplet transform-based epileptic seizures detection using EEG. Biomedical Signal Processing and Control. 68. 102699–102699. 22 indexed citations

14.

Jiang, Yun, et al.. (2020). Developing multi-component dictionary-based sparse representation for automatic detection of epileptic EEG spikes. Biomedical Signal Processing and Control. 60. 101966–101966. 7 indexed citations

15.

Jiang, Yun, Wanzhong Chen, & Mingyang Li. (2019). Symplectic geometry decomposition-based features for automatic epileptic seizure detection. Computers in Biology and Medicine. 116. 103549–103549. 51 indexed citations

16.

You, Yang, et al.. (2019). Automatic focal and non-focal EEG detection using entropy-based features from flexible analytic wavelet transform. Biomedical Signal Processing and Control. 57. 101761–101761. 33 indexed citations

17.

Li, Mingyang, Wanzhong Chen, & Tao Zhang. (2017). A novel seizure diagnostic model based on kernel density estimation and least squares support vector machine. Biomedical Signal Processing and Control. 41. 233–241. 16 indexed citations

18.

Zhang, Tao, Wanzhong Chen, & Mingyang Li. (2016). Automatic seizure detection of electroencephalogram signals based on frequency slice wavelet transform and SVM. Acta Physica Sinica. 65(3). 38703–38703. 11 indexed citations

19.

Zhang, Tao, Wanzhong Chen, & Mingyang Li. (2015). Recognition of epilepsy electroencephalography based on AdaBoost algorithm. Acta Physica Sinica. 64(12). 128701–128701. 17 indexed citations

20.

Li, Mingyang, et al.. (2015). Recognition Method of Limb Motor Imagery EEG Signals Based on Integrated Back-propagation Neural Network. The Open Biomedical Engineering Journal. 9(1). 83–91. 2 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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