Maoqi Chen

776 total citations
36 papers, 522 citations indexed

About

Maoqi Chen is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maoqi Chen has authored 36 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 20 papers in Cognitive Neuroscience and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maoqi Chen's work include Muscle activation and electromyography studies (29 papers), EEG and Brain-Computer Interfaces (18 papers) and Neuroscience and Neural Engineering (12 papers). Maoqi Chen is often cited by papers focused on Muscle activation and electromyography studies (29 papers), EEG and Brain-Computer Interfaces (18 papers) and Neuroscience and Neural Engineering (12 papers). Maoqi Chen collaborates with scholars based in China, United States and United Kingdom. Maoqi Chen's co-authors include Ping Zhou, Xu Zhang, Xiang Chen, Xiaoyan Li, Zhiyuan Lu, Xun Chen, Aleš Holobar, Xiao Tang, Sheng Li and Lianfu Deng and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Maoqi Chen

31 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maoqi Chen China	11	461	342	182	52	45	36	522
Anna Margherita Castronovo Italy	10	633 1.4×	478 1.4×	208 1.1×	28 0.5×	30 0.7×	12	743
Rositsa Raikova Bulgaria	15	546 1.2×	309 0.9×	122 0.7×	13 0.3×	64 1.4×	49	675
Dan Stashuk Canada	7	372 0.8×	209 0.6×	103 0.6×	18 0.3×	23 0.5×	7	514
Zoia C. Lateva United States	12	473 1.0×	296 0.9×	238 1.3×	23 0.4×	36 0.8×	19	550
Vahid Shalchyan Iran	12	151 0.3×	382 1.1×	227 1.2×	62 1.2×	33 0.7×	42	488
An H. United States	15	244 0.5×	356 1.0×	293 1.6×	15 0.3×	20 0.4×	41	527
Bryan R. Schlink United States	10	190 0.4×	275 0.8×	71 0.4×	19 0.4×	38 0.8×	19	447
Shey-Sheen Chang United States	6	438 1.0×	282 0.8×	122 0.7×	7 0.1×	27 0.6×	7	512
Kevin Nathan United States	7	253 0.5×	220 0.6×	75 0.4×	13 0.3×	23 0.5×	10	389
Simon Avrillon France	15	460 1.0×	277 0.8×	135 0.7×	6 0.1×	44 1.0×	29	627

Countries citing papers authored by Maoqi Chen

Since Specialization

Citations

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

Fields of papers citing papers by Maoqi Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maoqi Chen

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

All Works

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20 of 20 papers shown

Zhang, Yanhui, et al.. (2025). MScanFit and StairFit Motor Unit Number Estimation of the Extensor Digitorum Brevis and Abductor Digiti Minimi Muscles. Muscle & Nerve. 71(3). 446–449. 2 indexed citations

Chen, Maoqi & Ping Zhou. (2025). High-Density Surface EMG Decomposition: Achievements, Challenges, and Concerns. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1212–1219. 3 indexed citations

Li, Xiaoyan, Maoqi Chen, Paul E. Barkhaus, et al.. (2024). F wave analysis based on the compound muscle action potential scan. Muscle & Nerve. 70(3). 395–401.

Chen, Maoqi, et al.. (2023). Spatial Dependence of Log-Transformed Electromyography–Force Relation: Model-Based Sensitivity Analysis and Experimental Study of Biceps Brachii. Bioengineering. 10(4). 469–469.

Chen, Maoqi, et al.. (2023). Compound muscle action potential (CMAP) scan examination of paretic and contralateral muscles reveals motor unit alterations after stroke. Science China Life Sciences. 66(11). 2604–2613. 1 indexed citations

Lu, Zhiyuan, Maoqi Chen, Cliff S. Klein, et al.. (2023). Muscle innervation zone estimation from monopolar high-density M-waves using principal component analysis and radon transform. Frontiers in Physiology. 14. 1137146–1137146.

Zhang, Hong, et al.. (2023). Electrophysiological assessment of radial shock wave therapy for carpal tunnel syndrome. Frontiers in Neuroscience. 17. 1251807–1251807.

Song, Xiaohui, et al.. (2023). A single center report of MScanFit motor unit number estimation in five muscles of healthy subjects. Frontiers in Human Neuroscience. 16. 1078848–1078848. 2 indexed citations

Zhang, Xu, et al.. (2023). Adaptive Online Decomposition of Surface EMG Using Progressive FastICA Peel-Off. IEEE Transactions on Biomedical Engineering. 71(4). 1257–1268. 13 indexed citations

10.

Lu, Zhiyuan, Peipei Xu, Maoqi Chen, et al.. (2022). MScanFit motor unit number estimation of abductor pollicis brevis: Findings from different experimental parameters. Frontiers in Aging Neuroscience. 14. 953173–953173. 5 indexed citations

11.

Chen, Maoqi & Ping Zhou. (2022). Caution Is Necessary for Acceptance of Motor Units With Intermediate Matching in Surface EMG Decomposition. Frontiers in Neuroscience. 16. 876659–876659. 6 indexed citations

12.

Chen, Maoqi, et al.. (2022). Motor Unit Number Estimation of the Second Lumbrical Muscle in Human Hand. Frontiers in Physiology. 13. 854385–854385. 4 indexed citations

13.

Chen, Maoqi, Zhiyuan Lu, & Ping Zhou. (2022). A Dilemma for Coherence Calculation: Should Preprocessing Filters Be Applied?. Frontiers in Neuroscience. 16. 838627–838627. 3 indexed citations

14.

Chen, Maoqi & Ping Zhou. (2021). Automatic decomposition of pediatric high density surface EMG: A pilot study. SHILAP Revista de lepidopterología. 12. 100094–100094.

15.

Tang, Xiao, Xu Zhang, Maoqi Chen, Xiang Chen, & Xun Chen. (2021). Decoding Muscle Force From Motor Unit Firings Using Encoder-Decoder Networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 2484–2495. 9 indexed citations

16.

Chen, Maoqi, et al.. (2021). Model-Based Analysis of Muscle Strength and EMG-Force Relation with respect to Different Patterns of Motor Unit Loss. Neural Plasticity. 2021. 1–9. 6 indexed citations

17.

Chen, Maoqi, et al.. (2021). Neurophysiological Factors Affecting Muscle Innervation Zone Estimation Using Surface EMG: A Simulation Study. Biosensors. 11(10). 356–356. 4 indexed citations

18.

Chen, Maoqi, Xu Zhang, Zhiyuan Lu, Xiaoyan Li, & Ping Zhou. (2018). Two-Source Validation of Progressive FastICA Peel-Off for Automatic Surface EMG Decomposition in Human First Dorsal Interosseous Muscle. International Journal of Neural Systems. 28(9). 1850019–1850019. 35 indexed citations

19.

Chen, Maoqi, Xu Zhang, Xiang Chen, et al.. (2016). FastICA peel-off for ECG interference removal from surface EMG. BioMedical Engineering OnLine. 15(1). 65–65. 13 indexed citations

20.

Chen, Maoqi & Ping Zhou. (2015). A Novel Framework Based on FastICA for High Density Surface EMG Decomposition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24(1). 117–127. 180 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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