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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:

Dataset for multi-channel surface electromyography (sEMG) signals of hand gestures
Mehmet Akif Özdemir, Deniz Hande Kisa, Onan Güren, et al.
Data in Brief (2022) Vol. 41, pp. 107921-107921
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Hand gesture classification using time–frequency images and transfer learning based on CNN
Mehmet Akif Özdemir, Deniz Hande Kisa, Onan Güren, et al.
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103787-103787
Closed Access | Times Cited: 62
A Global and Local Feature fused CNN architecture for the sEMG-based hand gesture recognition
Baoping Xiong, Wensheng Chen, Yinxi Niu, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107497-107497
Closed Access | Times Cited: 23
Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques
Filippo Laganá, Danilo Pratticò, Giovanni Angiulli, et al.
Signals (2024) Vol. 5, Iss. 3, pp. 476-493
Open Access | Times Cited: 13
ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data
Omair Ali, Muhammad Saif-ur-Rehman, Tobias Glasmachers, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107649-107649
Open Access | Times Cited: 18
A dataset for fatigue estimation during shoulder internal and external rotation movements using wearables
Merve Nur Yaşar, Marco Sica, Brendan O’Flynn, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Automated Recognition of Hand Gestures From Multichannel EMG Sensor Data Using Time–Frequency Domain Deep Learning for IoT Applications
A. Mohapatra, Amol Aggarwal, Rajesh Kumar Tripathy
IEEE Sensors Letters (2024) Vol. 8, Iss. 6, pp. 1-4
Closed Access | Times Cited: 4
A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends
Sike Ni, Mohammed A. A. Al‐qaness, Ammar Hawbani, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112235-112235
Closed Access | Times Cited: 4
High-density electromyography for effective gesture-based control of physically assistive mobile manipulators
Jehan Yang, Kent Shibata, Douglas J. Weber, et al.
npj Robotics (2025) Vol. 3, Iss. 1
Open Access
Use of Advanced Materials and Artificial Intelligence in Electromyography Signal Detection and Interpretation
Shuo Gao, Jing Gong, Bofei Chen, et al.
Advanced Intelligent Systems (2022) Vol. 4, Iss. 10
Open Access | Times Cited: 21
A Flexible Capacitive Electromyography Biomedical Sensor for Wearable Healthcare Applications
Charn Loong Ng, Mamun Bin Ibne Reaz, M.L. Crespo, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 9
Explainable deep learning for sEMG-based similar gesture recognition: A Shapley-value-based solution
Feng Wang, Xiaohu Ao, Min Wu, et al.
Information Sciences (2024) Vol. 672, pp. 120667-120667
Closed Access | Times Cited: 3
Biometric Authentication Based on EMG Hand Gestures Signals Using CNN
Mehmet İsmail Gürsoy
Elektronika ir Elektrotechnika (2024) Vol. 30, Iss. 2, pp. 54-62
Open Access | Times Cited: 3
Surface electromyography based explainable Artificial Intelligence fusion framework for feature selection of hand gesture recognition
Naveen Gehlot, Ashutosh Jena, Ankit Vijayvargiya, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109119-109119
Closed Access | Times Cited: 3
Transformers in biosignal analysis: A review
Ayman Anwar, Yassin Khalifa, James L. Coyle, et al.
Information Fusion (2024) Vol. 114, pp. 102697-102697
Closed Access | Times Cited: 2
PIF dataset: a comprehensive dataset of physiological and inertial features for recognition of human activities
Manpreet Kaur Dhaliwal, Rohini Sharma, Rajbinder Kaur
Multimedia Tools and Applications (2024) Vol. 83, Iss. 29, pp. 73607-73625
Closed Access | Times Cited: 1
Physiological and Inertial Features based Dataset for Falls and Activities: PIF v2
Rajbinder Kaur, Rohini Sharma, Manpreet Kaur Dhaliwal
Procedia Computer Science (2024) Vol. 235, pp. 1268-1277
Open Access | Times Cited: 1
A Machine Vision and Electromyographic-Based Approach for Hand Gesture Recognition
Emilia Currò, Lorenzo Bombaci, Antonino Quattrocchi, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2024), pp. 1-5
Closed Access | Times Cited: 1
Integration of Convolutional Neural Network and Vision Transformer for gesture recognition using sEMG
Xiaoguang Liu, Lijian Hu, Tie Liang, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106686-106686
Closed Access | Times Cited: 1
Hand gestures classification of sEMG signals based on BiLSTM-metaheuristic optimization and hybrid U-Net-MobileNetV2 encoder architecture
Khosro Rezaee, Safoura Farsi Khavari, Mojtaba Ansari, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Spatial Feature Integration in Multidimensional Electromyography Analysis for Hand Gesture Recognition
Wensheng Chen, Yinxi Niu, Zhenhua Gan, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13332-13332
Open Access | Times Cited: 4
A decision-making mechanism based on EMG signals and adaptive neural fuzzy inference system (ANFIS) for hand gesture prediction
Deniz Hande Kisa, Mehmet Akif Özdemir, Onan Güren, et al.
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (2023) Vol. 38, Iss. 3, pp. 1417-1430
Open Access | Times Cited: 2
A Novel SFDN+DNN Approach for Efficient Hand Movement Recognition Using Surface Electromyography Signals
Amin Khorram, Huang Lin, Wei Peng
(2024), pp. 52-52
Open Access
In-sensor computing using Ti3C2Tx MXene memristor crossbar arrays for wearable electronics
Jeny Gosai, Mansi Patel, Anjalee Gosai, et al.
Flexible and Printed Electronics (2024) Vol. 9, Iss. 4, pp. 045013-045013
Closed Access
Machine Learning for Human-Robot Interaction using EMG Signals to Control the Grip Force
Mhd Fahmi, Mohammad-Reza Sayyed Noorani, M. Zakeri
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM) (2024), pp. 437-442
Closed Access
Time Frequency Analysis and Deep Feature Extraction for Hand Gesture Classification
Akanksha Dixit, Varun Bajaj, Irshad Ahmad Ansari, et al.
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024), pp. 1-5
Closed Access
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