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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:

Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition
Türker Tuncer, Şengül Doğan, Abdülhamit Subaşı
Biomedical Signal Processing and Control (2020) Vol. 58, pp. 101872-101872
Closed Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

EMGHandNet: A hybrid CNN and Bi-LSTM architecture for hand activity classification using surface EMG signals
Naveen Kumar Karnam, Shiv Ram Dubey, Anish C. Turlapaty, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 1, pp. 325-340
Closed Access | Times Cited: 91
Self-attention based progressive generative adversarial network optimized with momentum search optimization algorithm for classification of brain tumor on MRI image
N. Nagarani, R. Karthick, M. Sandra Carmel Sophia, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105597-105597
Closed Access | Times Cited: 44
Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice
Türker Tuncer, Şengül Doğan, Fatih Özyurt, et al.
IEEE Access (2020) Vol. 8, pp. 84532-84540
Open Access | Times Cited: 97
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: 79
EEG Signal denoising using hybrid approach of Variational Mode Decomposition and wavelets for depression
Chamandeep Kaur, Amandeep Bisht, Preeti Singh, et al.
Biomedical Signal Processing and Control (2020) Vol. 65, pp. 102337-102337
Closed Access | Times Cited: 78
Prediction of cardiovascular diseases by integrating multi-modal features with machine learning methods
Pengpai Li, Yongmei Hu, Zhi‐Ping Liu
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102474-102474
Closed Access | Times Cited: 64
An ensembled method for predicting dissolved oxygen level in aquaculture environment
Dachun Feng, Qianyu Han, Longqin Xu, et al.
Ecological Informatics (2024) Vol. 80, pp. 102501-102501
Open Access | Times Cited: 13
Bidirectional gated recurrent unit with auto encoders for detecting arrhythmia using ECG data
R. Sarankumar, M. Ramkumar, K. Vijaipriya, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111696-111696
Closed Access | Times Cited: 11
Balancing composite motion optimization using R-ERNN with plant disease
Ramarathnam Venkatesan, N. Balaji
Applied Soft Computing (2024) Vol. 154, pp. 111288-111288
Closed Access | Times Cited: 10
A hybrid deep transfer learning-based approach for Parkinson's disease classification in surface electromyography signals
Khosro Rezaee, Somayeh Savarkar, Xiaofeng Yu, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103161-103161
Closed Access | Times Cited: 55
Human knee abnormality detection from imbalanced sEMG data
Ankit Vijayvargiya, Chandra Prakash, Rajesh Kumar, et al.
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102406-102406
Closed Access | Times Cited: 46
sEMG time–frequency features for hand movements classification
Somar Karheily, Ali Moukadem, Jean‐Baptiste Courbot, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118282-118282
Open Access | Times Cited: 36
A Systematic Study on Electromyography-Based Hand Gesture Recognition for Assistive Robots Using Deep Learning and Machine Learning Models
Pranesh Gopal, Amandine Gesta, Abolfazl Mohebbi
Sensors (2022) Vol. 22, Iss. 10, pp. 3650-3650
Open Access | Times Cited: 28
Advancing task recognition towards artificial limbs control with ReliefF-based deep neural network extreme learning
Luttfi A. Al-Haddad, Wissam H. Alawee, Ali Basem
Computers in Biology and Medicine (2023) Vol. 169, pp. 107894-107894
Closed Access | Times Cited: 18
Optimized k-nearest neighbors for classification of prosthetic hand movements using electromyography signal
Padmini Sahu, Bikesh Kumar Singh, Neelamshobha Nirala
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108390-108390
Closed Access | Times Cited: 6
Evaluation of Feature Extraction and Classification for Lower Limb Motion Based on sEMG Signal
Pengjie Qin, Xin Shi
Entropy (2020) Vol. 22, Iss. 8, pp. 852-852
Open Access | Times Cited: 45
Automatic COVID-19 Detection Using Exemplar Hybrid Deep Features with X-ray Images
Prabal Datta Barua, Nadia Fareeda Muhammad Gowdh, Kartini Rahmat, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 15, pp. 8052-8052
Open Access | Times Cited: 37
Wrist angle prediction under different loads based on GA‐ELM neural network and surface electromyography
Yibo Liu, Chengcheng Li, Du Jiang, et al.
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 3
Closed Access | Times Cited: 33
A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal
Mehmet Bayğın, Prabal Datta Barua, Şengül Doğan, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 2007-2007
Open Access | Times Cited: 24
A Novel Surface Electromyographic Signal-Based Hand Gesture Prediction Using a Recurrent Neural Network
Zhen Zhang, Changxin He, Kuo Yang
Sensors (2020) Vol. 20, Iss. 14, pp. 3994-3994
Open Access | Times Cited: 39
A new framework for classification of multi-category hand grasps using EMG signals
Firas Sabar Miften, Mohammed Diykh, Shahab Abdulla, et al.
Artificial Intelligence in Medicine (2020) Vol. 112, pp. 102005-102005
Closed Access | Times Cited: 38
Hb vsEMG signal classification with time domain and Frequency domain features using LDA and ANN classifier
Yogendra Narayan
Materials Today Proceedings (2020) Vol. 37, pp. 3226-3230
Closed Access | Times Cited: 35
SEMG signal classification using KNN classifier with FD and TFD features
Yogendra Narayan
Materials Today Proceedings (2020) Vol. 37, pp. 3219-3225
Closed Access | Times Cited: 33
Classification of Hand Movements Using MYO Armband on an Embedded Platform
Haider Ali Javaid, Mohsin Islam Tiwana, Ahmed Alsanad, et al.
Electronics (2021) Vol. 10, Iss. 11, pp. 1322-1322
Open Access | Times Cited: 32
Performance Optimization of Surface Electromyography Based Biometric Sensing System for Both Verification and Identification
Ashirbad Pradhan, Jiayuan He, Ning Jiang
IEEE Sensors Journal (2021) Vol. 21, Iss. 19, pp. 21718-21729
Open Access | Times Cited: 29
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