Chenfei Ma

689 total citations
36 papers, 483 citations indexed

About

Chenfei Ma is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Chenfei Ma has authored 36 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 12 papers in Cognitive Neuroscience and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Chenfei Ma's work include Muscle activation and electromyography studies (15 papers), EEG and Brain-Computer Interfaces (10 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Chenfei Ma is often cited by papers focused on Muscle activation and electromyography studies (15 papers), EEG and Brain-Computer Interfaces (10 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Chenfei Ma collaborates with scholars based in China, United Kingdom and Canada. Chenfei Ma's co-authors include Chuang Lin, Lisheng Xu, Guanglin Li, Oluwarotimi Williams Samuel, Weiyu Guo, Kiran K. Soma, Hang Zhang, Xiaopeng Ji, Jun Cheng and Nora H. Prior and has published in prestigious journals such as Angewandte Chemie International Edition, Analytica Chimica Acta and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Chenfei Ma

33 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenfei Ma China 14 270 156 65 61 50 36 483
Martin Schätz Czechia 13 249 0.9× 83 0.5× 27 0.4× 44 0.7× 8 0.2× 28 531
Kaori Ito Japan 11 62 0.2× 82 0.5× 51 0.8× 23 0.4× 22 0.4× 36 624
Rakesh Kumar Sinha India 15 116 0.4× 278 1.8× 12 0.2× 19 0.3× 72 1.4× 69 652
Armin Biess Israel 9 121 0.4× 223 1.4× 21 0.3× 6 0.1× 86 1.7× 13 374
Bruce Hoff United States 11 170 0.6× 276 1.8× 14 0.2× 35 0.6× 14 0.3× 16 639
Ana Patrícia Rocha Portugal 9 90 0.3× 50 0.3× 41 0.6× 23 0.4× 9 0.2× 22 316
Joshua I. Glaser United States 14 134 0.5× 329 2.1× 9 0.1× 9 0.1× 121 2.4× 21 535
G. Venugopal India 11 296 1.1× 106 0.7× 14 0.2× 24 0.4× 35 0.7× 48 462
Jesse van den Kieboom Switzerland 10 512 1.9× 62 0.4× 163 2.5× 13 0.2× 11 0.2× 21 640

Countries citing papers authored by Chenfei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chenfei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenfei Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chenfei Ma. A scholar is included among the top collaborators of Chenfei Ma 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 Chenfei Ma. Chenfei Ma 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.
2.
Zhang, Xiaofu, et al.. (2025). Timing of glucose intake drives distinct hepatic outcomes: Divergent glucose and lipid metabolism. Molecular and Cellular Endocrinology. 607. 112611–112611.
3.
Ma, Chenfei, Xinyu Jiang, & Kianoush Nazarpour. (2025). Pre-training, personalization, and self-calibration: all a neural network-based myoelectric decoder needs. Frontiers in Neurorobotics. 19. 1604453–1604453. 1 indexed citations
4.
Jiang, Xinyu, Chenfei Ma, & Kianoush Nazarpour. (2025). Plug-and-play myoelectric control via a self-calibrating random forest common model. Journal of Neural Engineering. 22(1). 16029–16029. 2 indexed citations
5.
Sun, Dandan, Guoquan Wang, Chenfei Ma, et al.. (2024). Differential modulation system with potential for portable field detection: An ultrasensitive gentamicin optical sensor for label-free detection. Optics & Laser Technology. 180. 111426–111426. 1 indexed citations
6.
Ma, Chenfei & Kianoush Nazarpour. (2024). DistaNet: grasp-specific distance biofeedback promotes the retention of myoelectric skills. Journal of Neural Engineering. 21(3). 36037–36037. 4 indexed citations
7.
Sun, Dandan, Chenfei Ma, Guoquan Wang, et al.. (2024). Ion imprinted differential modulation system based on enhanced optic-fiber evanescent wave for sensitive and label-free detection of trace nickel ions. Analytica Chimica Acta. 1296. 342340–342340. 1 indexed citations
8.
Jiang, Xinyu, Chenfei Ma, & Kianoush Nazarpour. (2024). Posture-invariant myoelectric control with self-calibrating random forests. Frontiers in Neurorobotics. 18. 1462023–1462023. 4 indexed citations
9.
10.
Sun, Kang, Chenfei Ma, Guoquan Wang, et al.. (2023). High-performance detection of trace chromium (VI) concentration by differential modulation fiber sensing system combining methimazole functionalized microfiber and fiber Bragg grating. Colloids and Surfaces A Physicochemical and Engineering Aspects. 681. 132725–132725. 1 indexed citations
11.
Ma, Chenfei, Kang Sun, Guoquan Wang, et al.. (2023). A nonenzymic microfiber optic-biosensor modified phenylboric acid for sensitively and specifically detecting low glucose concentration. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 303. 123197–123197. 4 indexed citations
12.
Chen, Junxin, et al.. (2023). A temporal Convolutional Network for EMG compressed sensing reconstruction. Measurement. 225. 113944–113944. 14 indexed citations
13.
Jiang, Xinyu, Chenfei Ma, & Kianoush Nazarpour. (2023). One-shot random forest model calibration for hand gesture decoding. Journal of Neural Engineering. 21(1). 16006–16006. 9 indexed citations
14.
Chen, Junxin, et al.. (2022). Performance Analysis of Electromyogram Signal Compression Sampling in a Wireless Body Area Network. Micromachines. 13(10). 1748–1748. 3 indexed citations
15.
Chen, Chao, Weiyu Guo, Chenfei Ma, et al.. (2021). sEMG-Based Continuous Estimation of Finger Kinematics via Large-Scale Temporal Convolutional Network. Applied Sciences. 11(10). 4678–4678. 20 indexed citations
16.
Ma, Chenfei, Chuang Lin, Oluwarotimi Williams Samuel, et al.. (2021). A Bi-Directional LSTM Network for Estimating Continuous Upper Limb Movement From Surface Electromyography. IEEE Robotics and Automation Letters. 6(4). 7217–7224. 58 indexed citations
17.
Ma, Chenfei, Chuang Lin, Oluwarotimi Williams Samuel, Lisheng Xu, & Guanglin Li. (2020). Continuous estimation of upper limb joint angle from sEMG signals based on SCA-LSTM deep learning approach. Biomedical Signal Processing and Control. 61. 102024–102024. 60 indexed citations
18.
Guo, Weiyu, Chenfei Ma, Zheng Wang, et al.. (2020). Long exposure convolutional memory network for accurate estimation of finger kinematics from surface electromyographic signals. Journal of Neural Engineering. 18(2). 26027–26027. 32 indexed citations
19.
Ma, Chenfei, et al.. (2019). $K$-Differenced Vector Random Fields. Theory of Probability and Its Applications. 63(3). 393–407. 1 indexed citations
20.
Leblanc, Julie, et al.. (2011). The small GTPase Cdc42 promotes membrane protrusion during polar body emission via ARP2-nucleated actin polymerization. Molecular Human Reproduction. 17(5). 305–316. 38 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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