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:
Detection of Muscle Fatigue by Fusion of Agonist and Synergistic Muscle sEMG Signals
Maoheng Li, Jinbao Li, Minglei Shu
(2020), pp. 95-98
Closed Access | Times Cited: 8
Maoheng Li, Jinbao Li, Minglei Shu
(2020), pp. 95-98
Closed Access | Times Cited: 8
Showing 8 citing articles:
sEMG-Based Dynamic Muscle Fatigue Classification Using SVM With Improved Whale Optimization Algorithm
Quan Liu, Yang Liu, Congsheng Zhang, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 23, pp. 16835-16844
Closed Access | Times Cited: 25
Quan Liu, Yang Liu, Congsheng Zhang, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 23, pp. 16835-16844
Closed Access | Times Cited: 25
Measurement System for Operator 5.0: a Learning Fatigue Recognition based on sEMG Signals
Luca De Vito, Enrico Picariello, Francesco Picariello, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023) Vol. pp, pp. 1-6
Closed Access | Times Cited: 2
Luca De Vito, Enrico Picariello, Francesco Picariello, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023) Vol. pp, pp. 1-6
Closed Access | Times Cited: 2
An Attention-based Deep CNN-BiLSTM Model for Forecasting of Fatigue-induced Surface Electromyography Signals During Isotonic Contractions
Smriti Bala, Deepak Joshi
(2022)
Open Access | Times Cited: 4
Smriti Bala, Deepak Joshi
(2022)
Open Access | Times Cited: 4
Muscle fatigue detection method based on feature extraction and deep learning
Zhihong Feng, Yucheng Wang, Lin Liu
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2022), pp. 97-100
Closed Access | Times Cited: 3
Zhihong Feng, Yucheng Wang, Lin Liu
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2022), pp. 97-100
Closed Access | Times Cited: 3
Hybrid CNN-LSTM-Transformer Model for Robust Muscle Fatigue Detection during Rehabilitation Using sEMG Signals
Jiahui Yu, H. J. Yang, Chang Zhu, et al.
2022 International Conference on Advanced Robotics and Mechatronics (ICARM) (2024), pp. 51-56
Closed Access
Jiahui Yu, H. J. Yang, Chang Zhu, et al.
2022 International Conference on Advanced Robotics and Mechatronics (ICARM) (2024), pp. 51-56
Closed Access
An LSTM-Attention-based Method to Muscle Fatigue Detection by Integrating Multi-Source sEMG Signals
Xilai Chen, Meiqin Liu, Senlin Zhang
(2021), pp. 8475-8480
Closed Access | Times Cited: 2
Xilai Chen, Meiqin Liu, Senlin Zhang
(2021), pp. 8475-8480
Closed Access | Times Cited: 2
Fatigue Classification and Onset estimation using Surface EMG Signals during Strength Training
Eswar Adapa, Anish C. Turlapaty, Surya Naidu
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (2023), pp. 304-310
Closed Access
Eswar Adapa, Anish C. Turlapaty, Surya Naidu
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (2023), pp. 304-310
Closed Access
