Xiaowei Li

2.7k total citations
68 papers, 1.6k citations indexed

About

Xiaowei Li is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xiaowei Li has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cognitive Neuroscience, 26 papers in Experimental and Cognitive Psychology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xiaowei Li's work include EEG and Brain-Computer Interfaces (46 papers), Functional Brain Connectivity Studies (42 papers) and Neural dynamics and brain function (19 papers). Xiaowei Li is often cited by papers focused on EEG and Brain-Computer Interfaces (46 papers), Functional Brain Connectivity Studies (42 papers) and Neural dynamics and brain function (19 papers). Xiaowei Li collaborates with scholars based in China, United Kingdom and Switzerland. Xiaowei Li's co-authors include Bin Hu, Shuting Sun, Jing Zhu, Jianxiu Li, Xuemin Zhang, Hanshu Cai, Ying Wang, Zihan Wang, Chen Xia and Liuqing Wei and has published in prestigious journals such as Scientific Reports, The FASEB Journal and IEEE Access.

In The Last Decade

Xiaowei Li

62 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaowei Li China 23 1.3k 604 323 118 100 68 1.6k
Hanshu Cai China 15 686 0.5× 367 0.6× 236 0.7× 116 1.0× 72 0.7× 31 989
Wajid Mumtaz Malaysia 16 1.1k 0.9× 328 0.5× 467 1.4× 104 0.9× 64 0.6× 32 1.4k
Christos A. Frantzidιs Greece 21 911 0.7× 520 0.9× 143 0.4× 89 0.8× 162 1.6× 66 1.6k
Lin Shu China 13 783 0.6× 793 1.3× 223 0.7× 113 1.0× 157 1.6× 25 1.3k
Subha D. Puthankattil India 14 999 0.8× 248 0.4× 475 1.5× 89 0.8× 61 0.6× 33 1.2k
Jin‐Hun Sohn South Korea 23 617 0.5× 355 0.6× 148 0.5× 50 0.4× 175 1.8× 126 1.7k
Reza Khosrowabadi Iran 21 1.0k 0.8× 352 0.6× 162 0.5× 98 0.8× 110 1.1× 103 1.4k
Manousos A. Klados Greece 22 1.1k 0.8× 366 0.6× 149 0.5× 74 0.6× 156 1.6× 49 1.6k
Bernard Grundlehner Netherlands 17 702 0.6× 251 0.4× 354 1.1× 34 0.3× 95 0.9× 29 1.3k

Countries citing papers authored by Xiaowei Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Li. A scholar is included among the top collaborators of Xiaowei 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 Xiaowei Li. Xiaowei 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.
Li, Junxiang, et al.. (2025). Toward the Construction of Affective Brain-Computer Interface: A Systematic Review. ACM Computing Surveys. 57(6). 1–56. 3 indexed citations
2.
Zhu, Jing, et al.. (2025). Amplitude-sensitive permutation entropy: A novel complexity measure incorporating amplitude variation for physiological time series. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(3). 1 indexed citations
3.
Luo, Gang, Shuting Sun, Xuesong Liu, et al.. (2024). IMGWOFS: A Feature Selector With Trade-Off Between Conflict Objectives for EEG-Based Emotion Recognition. IEEE Transactions on Affective Computing. 16(2). 598–610. 3 indexed citations
4.
Luo, Gang, Xuesong Liu, Xiping Hu, et al.. (2024). Stable construction and analysis of MDD modular networks based on multi-center EEG data. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 136. 111149–111149. 1 indexed citations
5.
Sun, Shuting, Shanshan Qu, Gang Luo, et al.. (2024). Resting-state dynamic functional connectivity in major depressive disorder: A systematic review. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 135. 111076–111076. 19 indexed citations
6.
Li, Xiaowei, et al.. (2023). Psychological status of medical staff dedicated to nucleic acid collection in COVID-19 epidemic during closed-loop management: A cross-sectional study. Frontiers in Public Health. 11. 1131971–1131971. 1 indexed citations
7.
Wang, Quanhong, Jitao Zhong, Juan Wang, et al.. (2023). A hybrid SVM and kernel function-based sparse representation classification for automated epilepsy detection in EEG signals. Neurocomputing. 562. 126874–126874. 10 indexed citations
8.
Sun, Shuting, Mei Liao, Yan Zhang, et al.. (2023). Brain function changes reveal rapid antidepressant effects of nitrous oxide for treatment-resistant depression:Evidence from task-state EEG. Psychiatry Research. 322. 115072–115072. 9 indexed citations
9.
Zhu, Jing, et al.. (2022). Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals. IEEE Transactions on Affective Computing. 14(3). 2102–2115. 17 indexed citations
10.
Li, Jianxiu, et al.. (2022). A thresholding method based on society modularity and role division for functional connectivity analysis. Journal of Neural Engineering. 19(5). 56030–56030. 5 indexed citations
11.
12.
Li, Jianxiu, et al.. (2021). Altered Brain Dynamics and Their Ability for Major Depression Detection Using EEG Microstates Analysis. IEEE Transactions on Affective Computing. 14(3). 2116–2126. 30 indexed citations
13.
Li, Jianxiu, et al.. (2021). Effective Connectivity Based EEG Revealing the Inhibitory Deficits for Distracting Stimuli in Major Depression Disorders. IEEE Transactions on Affective Computing. 14(1). 694–705. 22 indexed citations
14.
Sun, Shuting, et al.. (2021). Analysis of Functional Brain Network in MDD Based on Improved Empirical Mode Decomposition With Resting State EEG Data. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 1546–1556. 36 indexed citations
15.
Zhu, Jing, Zihan Wang, Tao Gong, et al.. (2020). An Improved Classification Model for Depression Detection Using EEG and Eye Tracking Data. IEEE Transactions on NanoBioscience. 19(3). 527–537. 59 indexed citations
16.
Li, Xiaowei, et al.. (2020). The word frequency effect of fovea and its effect on the preview effect of parafovea in Tibetan reading. Acta Psychologica Sinica. 52(10). 1143–1155. 6 indexed citations
17.
Li, Xiaowei, et al.. (2020). A Deep Learning Approach for Mild Depression Recognition Based on Functional Connectivity Using Electroencephalography. Frontiers in Neuroscience. 14. 192–192. 88 indexed citations
18.
Zhu, Jing, et al.. (2018). Neural Basis of the Emotional Conflict Processing in Major Depression: ERPs and Source Localization Analysis on the N450 and P300 Components. Frontiers in Human Neuroscience. 12. 214–214. 21 indexed citations
19.
Hu, Bin, et al.. (2017). Emotion Regulating Attentional Control Abnormalities In Major Depressive Disorder: An Event-Related Potential Study. Scientific Reports. 7(1). 13530–13530. 65 indexed citations
20.
Li, Xiaowei. (2011). Protective and Risk Factors and Their Cumulative Effect of Adolescents' Social Adjustment. Journal of Beijing Normal University. 8 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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