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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:

Classification of human hand movements based on EMG signals using nonlinear dimensionality reduction and data fusion techniques
Neta Rabin, Maayan Kahlon, Sarit Malayev, et al.
Expert Systems with Applications (2020) Vol. 149, pp. 113281-113281
Closed Access | Times Cited: 81

Showing 26-50 of 81 citing articles:

EMG-based speech recognition using dimensionality reduction methods
Anat Ratnovsky, Sarit Malayev, Shahar Ratnovsky, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 1, pp. 597-607
Closed Access | Times Cited: 13
Novel finger movement classification method based on multi-centered binary pattern using surface electromyogram signals
Türker Tuncer, Şengül Doğan, Abdülhamit Subaşı
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103153-103153
Open Access | Times Cited: 13
Perspective Chapter: Classification of Grasping Gestures for Robotic Hand Prostheses Using Deep Neural Networks
Ruthber Rodríguez Serrezuela, Enrique Marañón Reyes, Roberto Sagaró Zamora, et al.
IntechOpen eBooks (2023)
Open Access | Times Cited: 5
Classification of Emg Signals Using Convolution Neural Network
Kaan Bakırcıoğlu, Nalan Özkurt
International Journal of Applied Mathematics Electronics and Computers (2020) Vol. 8, Iss. 4, pp. 115-119
Open Access | Times Cited: 13
Minimum Mapping from EMG Signals at Human Elbow and Shoulder Movements into Two DoF Upper-Limb Robot with Machine Learning
Pringgo Widyo Laksono, Takahide Kitamura, Joseph Muguro, et al.
Machines (2021) Vol. 9, Iss. 3, pp. 56-56
Open Access | Times Cited: 12
Comparing EMG Pattern Recognition with and Without Hand and Wrist Movements
Lizhi Pan, Kai Liu, Kun Zhu, et al.
Journal of Bionic Engineering (2022) Vol. 19, Iss. 3, pp. 700-708
Closed Access | Times Cited: 8
Investigating features in augmented visual feedback for virtual reality rehabilitation of upper-extremity function through isometric muscle control
Sean Sanford, Brian D. Collins, Mingxiao Liu, et al.
Frontiers in Virtual Reality (2022) Vol. 3
Open Access | Times Cited: 8
Using machine learning algorithms for grasp strength recognition in rehabilitation planning
Tanin Boka, Arshia Eskandari, S. Ali A. Moosavian, et al.
Results in Engineering (2023) Vol. 21, pp. 101660-101660
Open Access | Times Cited: 4
CNN-based gesture recognition using raw numerical gray-scale images of surface electromyography
Chen Qingzheng, Tao Qing, Zhao Muchao, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107176-107176
Closed Access | Times Cited: 1
Printed Multi-EMG Electrodes on the 3D Surface of an Orthosis for Rehabilitation: A Feasibility Study
Edoardo Cantù, Tiziano Fapanni, Giada Giorgi, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 13, pp. 14407-14417
Open Access | Times Cited: 10
Research on improved FAWT signal denoising method in evaluation of firefighter training efficacy based on sEMG
Yang Li, Ke Bai, Hao Wang, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103336-103336
Closed Access | Times Cited: 10
Difference analysis of musculation and estimation of sEMG-to-force in process of increasing force and decreasing force
Yansheng Wu, Shili Liang, Zekun Chen, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120445-120445
Closed Access | Times Cited: 3
EMG Signal Classification Using Deep Learning and Time Domain Descriptors-Based Feature Extraction for Hand Grip Movement Recognition
Ali Arı
Traitement du signal (2023) Vol. 40, Iss. 3, pp. 949-960
Open Access | Times Cited: 3
UJ-FLAC: Unsupervised Joint Feature Learning and Clustering for Dynamic Driving Cycles Construction
Lihong Pei, Yang Cao, Yu Kang, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 8, pp. 10970-10982
Closed Access | Times Cited: 7
sEMG-Based Continuous Hand Action Prediction by Using Key State Transition and Model Pruning
Kaikui Zheng, Shuai Liu, Jinxing Yang, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9949-9949
Open Access | Times Cited: 5
Identification of Mine Explosions Using Manifold Learning Techniques
Itay Niv, Yuri Bregman, Neta Rabin
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 4
Detection of COVID-19 Fake News in Online Social Networks with the Developed CNN-LSTM Based Hybrid Model
Muhammed Yıldırım
Review of Computer Engineering Studies (2022) Vol. 9, Iss. 2, pp. 41-48
Open Access | Times Cited: 4
AE-CNN-Based Multisource Data Fusion for Gait Motion Step Length Estimation
Zi-Qin Ling, Yue-Peng Zhang, Guang‐Zhong Cao, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 21, pp. 20805-20815
Closed Access | Times Cited: 4
DWT-Based Hand Movement Identification of EMG Signals Using SVM
Vivek Ahlawat, Yogendra Narayan, Divesh Kumar
Lecture notes in networks and systems (2021), pp. 495-505
Closed Access | Times Cited: 5
Multi-subject Identification of Hand Movements Using Machine Learning
Alejandro Mora-Rubio, Jesús Alejandro Alzate-Grisales, Daniel Arias-Garzón, et al.
Lecture notes in networks and systems (2021), pp. 117-128
Closed Access | Times Cited: 5
Transfer Learning in sEMG-based Gesture Recognition
Panagiotis Tsinganos, Jan Cornelis, Bruno Cornelis, et al.
(2021), pp. 1-7
Closed Access | Times Cited: 5
CNN-LSTM Network Based Prediction of Human Joint Angles Using Multi-Band SEMG and Historical Angles
Yuze Jiao, Weiqun Wang, Zeng‐Guang Hou, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-7
Closed Access | Times Cited: 4
Cross Validation Configuration on k-NN for Finger Movements using EMG signals
Khairul Anam, Harun Ismail, Faruq Sandi Hanggara, et al.
(2021), pp. 17-21
Closed Access | Times Cited: 4
Human Hand Movement Classification based on EMG Signal using different Feature Extractor
Swati Shilaskar, Shripad Bhatlawande, Ranveer Chavare, et al.
Biomedical & Pharmacology Journal (2024) Vol. 17, Iss. 1, pp. 71-82
Open 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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