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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Muscle fatigue analysis during dynamic contractions based on biomechanical features and Permutation Entropy
J. Murillo-Escobar, Yomin Jaramillo-Munera, Diana Orrego, et al.
Mathematical Biosciences & Engineering (2020) Vol. 17, Iss. 3, pp. 2592-2615
Open Access | Times Cited: 22

Showing 22 citing articles:

The role of machine learning in the primary prevention of work-related musculoskeletal disorders: A scoping review
Victor C.H. Chan, Gwyneth B. Ross, Allison L. Clouthier, et al.
Applied Ergonomics (2021) Vol. 98, pp. 103574-103574
Open Access | Times Cited: 82
Non-invasive Techniques for Muscle Fatigue Monitoring: A Comprehensive Survey
Na Li, Rui Zhou, B. Sai Krishna, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-40
Open Access | Times Cited: 10
Stable Bioelectric Signal Acquisition Using an Enlarged Surface-Area Flexible Skin Electrode
Inyeol Yun, Jinpyeo Jeung, Hyungsub Lim, et al.
ACS Applied Electronic Materials (2021) Vol. 3, Iss. 4, pp. 1842-1851
Closed Access | Times Cited: 30
Automatic sign language recognition based on accelerometry and surface electromyography signals: A study for Colombian sign language
Eider Pereira-Montiel, Estefanía Pérez-Giraldo, J. Mazo, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103201-103201
Closed Access | Times Cited: 17
Non-Invasive Quantitative Muscle Fatigue Estimation Based on Correlation Between sEMG Signal and Muscle Mass
Inyeol Yun, Jinpyeo Jeung, Yonghun Song, et al.
IEEE Access (2020) Vol. 8, pp. 191751-191757
Open Access | Times Cited: 16
Muscle Fatigue Analysis by Visualization of Dynamic Surface EMG Signals Using Markov Transition Field
Divya Sasidharan, G. Venugopal, Ramakrishnan Swaminathan
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 3611-3614
Closed Access | Times Cited: 7
A Novel Approach to Detecting Muscle Fatigue Based on sEMG by Using Neural Architecture Search Framework
Shurun Wang, Hao Tang, Bin Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 8, pp. 4932-4943
Closed Access | Times Cited: 8
COMPLEXITY ANALYSIS OF SURFACE ELECTROMYOGRAPHY SIGNALS UNDER FATIGUE USING HJORTH PARAMETERS AND BUBBLE ENTROPY
Divya Sasidharan, G. VENUGOPAL, Ramakrishnan Swaminathan
Journal of Mechanics in Medicine and Biology (2023) Vol. 23, Iss. 06
Closed Access | Times Cited: 3
The Residual Effect of C60 Fullerene on Biomechanical and Biochemical Markers of the Muscle Soleus Fatigue Development in Rats
Yu. І. Prylutskyy, Dmytro Nozdrenko, Olga Gonchar, et al.
Journal of Nanomaterials (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 3
Effects of Kinesio taping on forearm supination/pronation performance fatigability
Chih‐Kun Hsiao, Yi-Jung Tsai, Chih‐Wei Lu, et al.
BMC Musculoskeletal Disorders (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 4
Considerations for Applying Entropy Methods to Temporally Correlated Stochastic Datasets
Joshua J. Liddy, Michael A. Busa
Entropy (2023) Vol. 25, Iss. 2, pp. 306-306
Open Access | Times Cited: 2
A Proposal to Analyze Muscle Dynamics Under Fatiguing Contractions Using Surface Electromyography Signals and Fuzzy Recurrence Network Features
Divya Sasidharan, G. Venugopal, Ramakrishnan Swaminathan
Fluctuation and Noise Letters (2023) Vol. 22, Iss. 05
Closed Access | Times Cited: 2
A new fractional fuzzy dispersion entropy and its application in muscle fatigue detection
Baohua Hu, Yong Wang, Jingsong Mu
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 144-169
Open Access | Times Cited: 2
The Refined Composite Downsampling Permutation Entropy Is a Relevant Tool in the Muscle Fatigue Study Using sEMG Signals
Philippe Ravier, Antonio Dávalos, Meryem Jabloun, et al.
Entropy (2021) Vol. 23, Iss. 12, pp. 1655-1655
Open Access | Times Cited: 5
Biomechanical Research on Special Ability of Long Jump Take-Off Muscle Based on Multisource Information Fusion
Yue Ren, Luo Bing-quan, Jun Chu
Applied Bionics and Biomechanics (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 3
Intermuscular coupling network analysis of upper limbs based on R-vine copula transfer entropy
Shaojun Zhu, Jinhui Zhao, Yating Wu, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 9, pp. 9437-9456
Open Access | Times Cited: 3
Characteristics analysis of muscle function network and its application to muscle compensatory in repetitive movement
Xiaoguang Liu, Xu Cui, Tie Liang, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104639-104639
Closed Access | Times Cited: 1
Method for Muscle Fatigue Detection Using Inertial Sensors
Beāte Banga, Alexei Katashev, Modris Greitāns
IFMBE proceedings (2023), pp. 25-32
Closed Access | Times Cited: 1
Recognition study of denatured biological tissues based on multi-scale rescaled range permutation entropy
Bei Liu, Wenbin Tan, Xian Zhang, et al.
Mathematical Biosciences & Engineering (2021) Vol. 19, Iss. 1, pp. 102-114
Open Access | Times Cited: 3
A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals From Surface Electromyographic Signals
Hao Tang, Shurun Wang, Qi Tan, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 2
Retentive capacity of power output and linear versus non-linear mapping of power loss in the isotonic muscular endurance test
Hongqi Xu, Yong-tai Xue, Zijian Zhou, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Muscle Fatigue Analysis in Dynamic Contractions Using Semi-Automatic Segmentation of Muscle Inactivity Areas
Pâmela de Souza Schiaber, Paulo Rogério Scalassara, Cristiano Marcos Agulhari, et al.
Proceeding Series of the Brazilian Society of Computational and Applied Mathematics (2022)
Open Access
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