Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning
Cosima Prahm, Alexander Schulz, Benjamin Paaben, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 5, pp. 956-962
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey
Shuo Jiang, Peiqi Kang, Xinyu Song, et al.
IEEE Reviews in Biomedical Engineering (2021) Vol. 15, pp. 85-102
Closed Access | Times Cited: 141
A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control
Ali Ameri, Mohammad Ali Akhaee, Erik Scheme, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 28, Iss. 2, pp. 370-379
Closed Access | Times Cited: 124
Advances and Disturbances in sEMG-Based Intentions and Movements Recognition: A Review
Hao Xu, Anbin Xiong
IEEE Sensors Journal (2021) Vol. 21, Iss. 12, pp. 13019-13028
Closed Access | Times Cited: 74
A Review of Myoelectric Control for Prosthetic Hand Manipulation
Ziming Chen, Huasong Min, Dong Wang, et al.
Biomimetics (2023) Vol. 8, Iss. 3, pp. 328-328
Open Access | Times Cited: 31
SeNic: An Open Source Dataset for sEMG-Based Gesture Recognition in Non-Ideal Conditions
Bo Zhu, Daohui Zhang, Yaqi Chu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1252-1260
Open Access | Times Cited: 33
Flexible Strain Sensor-Based Data Glove for Gesture Interaction in the Metaverse: A Review
Bowen Ji, Xuanqi Wang, Zekai Liang, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 21, pp. 6793-6812
Closed Access | Times Cited: 17
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond
Di Wu, Jie Yang, Mohamad Sawan
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3015-3034
Open Access | Times Cited: 17
Current status and clinical perspectives of extended reality for myoelectric prostheses: review
Wei Li, Ping Shi, Sujiao Li, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 11
Open Access | Times Cited: 6
Are armband sEMG devices dense enough for long-term use?—Sensor placement shifts cause significant reduction in recognition accuracy
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
Biomedical Signal Processing and Control (2020) Vol. 60, pp. 101981-101981
Open Access | Times Cited: 39
Human Machine Interfaces in Upper-Limb Prosthesis Control: A Survey of Techniques for Preprocessing and Processing of Biosignals
Chakaveh Ahmadizadeh, Mahta Khoshnam, Carlo Menon
IEEE Signal Processing Magazine (2021) Vol. 38, Iss. 4, pp. 12-22
Closed Access | Times Cited: 39
Multi-day dataset of forearm and wrist electromyogram for hand gesture recognition and biometrics
Ashirbad Pradhan, Jiayuan He, Ning Jiang
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 23
Machine learning and deep learning for cancer diagnosis
Taiwo Soewu, Harpreet Kaur, Ramandeep Sandhu, et al.
Elsevier eBooks (2025), pp. 83-129
Closed Access
PhantomAR: gamified mixed reality system for alleviating phantom limb pain in upper limb amputees—design, implementation, and clinical usability evaluation
Cosima Prahm, Korbinian Eckstein, Michael Bressler, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access
Online Unsupervised Adaptation of Latent Representation for Myoelectric Control during User-Decoder Co-Adaptation
Hanjie Deng, Zhikai Wei, Xuhui Hu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2025) Vol. 33, pp. 1026-1037
Open Access
Electrode Shifts Estimation and Adaptive Correction for Improving Robustness of sEMG-Based Recognition
Ziyou Li, Xingang Zhao, Guangjun Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 4, pp. 1101-1110
Closed Access | Times Cited: 37
An Interactive Training Model for Myoelectric Regression Control Based on Human–Machine Cooperative Performance
Carles Igual, Alberto Castillo, Jorge Igual
Computers (2024) Vol. 13, Iss. 1, pp. 29-29
Open Access | Times Cited: 3
Co-Adaptive Control of Bionic Limbs via Unsupervised Adaptation of Muscle Synergies
Dennis Yeung, Irene Méndez Guerra, Ian Barner-Rasmussen, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 69, Iss. 8, pp. 2581-2592
Open Access | Times Cited: 17
Transfer Learning Algorithm With Knowledge Division Level
Honggui Han, Hongxu Liu, Cuili Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 11, pp. 8602-8616
Closed Access | Times Cited: 16
Effects of Training and Calibration Data on Surface Electromyogram-Based Recognition for Upper Limb Amputees
Pan Yao, Kaifeng Wang, Weiwei Xia, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 920-920
Open Access | Times Cited: 3
Improvement of EMG Pattern Recognition Model Performance in Repeated Uses by Combining Feature Selection and Incremental Transfer Learning
Qi Li, Anyuan Zhang, Zhenlan Li, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 22
Reliability Analysis for Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks
Yuzhou Lin, Ramaswamy Palaniappan, Philippe De Wilde, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 96-107
Open Access | Times Cited: 14
Serious Games Are Not Serious Enough for Myoelectric Prosthetics
Christian Alexander Garske, Matthew Dyson, Sigrid Dupan, et al.
JMIR Serious Games (2021) Vol. 9, Iss. 4, pp. e28079-e28079
Open Access | Times Cited: 17
Directional Forgetting for Stable Co-Adaptation in Myoelectric Control
Dennis Yeung, Dario Farina, Ivan Vujaklija
Sensors (2019) Vol. 19, Iss. 9, pp. 2203-2203
Open Access | Times Cited: 18
Development and Continuous Control of an Intelligent Upper-Limb Neuroprosthesis for Reach and Grasp Motions Using Biological Signals
Jin Huang, Guoxin Li, Hang Su, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2021) Vol. 52, Iss. 6, pp. 3431-3441
Closed Access | Times Cited: 15
EMG feedback outperforms force feedback in the presence of prosthesis control disturbance
Jack Tchimino, Jakob Lund Dideriksen, Strahinja Došen
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top