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:

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: 53

Showing 1-25 of 53 citing articles:

Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
Jyotismita Chaki, Marcin Woźniak
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104223-104223
Closed Access | Times Cited: 51
A Hybrid Model for Leaf Diseases Classification Based on the Modified Deep Transfer Learning and Ensemble Approach for Agricultural AIoT-Based Monitoring
Maryam Saberi Anari
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 50
Diagnose Parkinson’s disease and cleft lip and palate using deep convolutional neural networks evolved by IP-based chimp optimization algorithm
Feng Chen, Chunyan Yang, Mohammad Khishe
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103688-103688
Closed Access | Times Cited: 48
Deep Transfer Learning Models for Industrial Fault Diagnosis Using Vibration and Acoustic Sensors Data: A Review
Md Roman Bhuiyan, Jia Uddin
Vibration (2023) Vol. 6, Iss. 1, pp. 218-238
Open Access | Times Cited: 38
Surface Electromyography and Artificial Intelligence for Human Activity Recognition—A Systematic Review on Methods, Emerging Trends Applications, Challenges, and Future Implementation
Gundala Jhansi Rani, Mohammad Farukh Hashmi, Aditya Gupta
IEEE Access (2023) Vol. 11, pp. 105140-105169
Open Access | Times Cited: 25
An Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning
Khosro Rezaee, Seyed Jalaleddin Mousavirad, Mohammad R. Khosravi, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 9404-9413
Closed Access | Times Cited: 41
MS-Net: Sleep apnea detection in PPG using multi-scale block and shadow module one-dimensional convolutional neural network
Keming Wei, Lang Zou, Guanzheng Liu, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106469-106469
Closed Access | Times Cited: 18
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
Detection, identification and removing of artifacts from sEMG signals: Current studies and future challenges
Mohamed Ait Yous, Said Agounad, Siham Elbaz
Computers in Biology and Medicine (2025) Vol. 186, pp. 109651-109651
Closed Access
Sequential sEMG Recognition With Knowledge Transfer and Dynamic Graph Network Based on Spatio-Temporal Feature Extraction Network
Zhilin Li, Xianghe Chen, Jie Li, et al.
IEEE Journal of Biomedical and Health Informatics (2025) Vol. 29, Iss. 2, pp. 887-899
Closed Access
Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait
Ratan Das, Sudip Paul, Gajendra Kumar Mourya, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 26
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Huan Zhao, Junyi Cao, Junxiao Xie, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 13
A Transfer Learning Approach for Toe Walking Recognition Using Surface Electromyography on Leg Muscles
Andrea Manni, Gabriele Rescio, Anna Maria Carluccio, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1305-1305
Open Access
Image encoded time series classification of small datasets: an innovative architecture using deep learning ensembles
Pubudu L. Indrasiri, Bipasha Kashyap, Pubudu N. Pathirana
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
RETRACTED ARTICLE: Parkinson’s disease detection using modified ResNeXt deep learning model from brain MRI images
Battula Balnarsaiah, B. Ashok Nayak, G. Spica Sujeetha, et al.
Soft Computing (2023) Vol. 27, Iss. 16, pp. 11905-11914
Closed Access | Times Cited: 10
Parkinson’s disease and cleft lip and palate of pathological speech diagnosis using deep convolutional neural networks evolved by IPWOA
Dengfeng Yao, Wanle Chi, Mohammad Khishe
Applied Acoustics (2022) Vol. 199, pp. 109003-109003
Closed Access | Times Cited: 17
Image Encoded Time Series Classification of Small Datasets: An Innovative Architecture Using Deep Learning Ensembles
Pubudu L. Indrasiri, Bipasha Kashyap, Pubudu N. Pathirana
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Fall-related gait pattern recognition based on surface electromyography using a hybrid neural network with transfer learning
Shuo Zhang, Jin Qi, Sheng Hao, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106771-106771
Closed Access | Times Cited: 2
Optimized MobileNetV3: a deep learning-based Parkinson’s disease classification using fused images
Sukanya Pechetti, Battula Srinivasa Rao
PeerJ Computer Science (2023) Vol. 9, pp. e1702-e1702
Open Access | Times Cited: 6
Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability
Jaesung Yoo, Ilhan Yoo, Ina Youn, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107079-107079
Open Access | Times Cited: 10
Severity Prediction over Parkinson’s Disease Prediction by Using the Deep Brooke Inception Net Classifier
R. Sarankumar, D. S. Vinod, K. Anitha, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 9
Detection of Monkeypox Among Different Pox Diseases with Different Pre-Trained Deep Learning Models
Muhammed ÇELİK, Özkan İni̇k
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2023) Vol. 13, Iss. 1, pp. 10-21
Open Access | Times Cited: 5
Hand Gesture Classification using Deep learning and CWT images based on multi-channel surface EMG signals
Hebert Elias Palmera Buelvas, Juan Diego Trujillo Montaña, Ruthber Rodríguez Serrezuela
(2023), pp. 1-7
Closed Access | Times Cited: 5
Deep Transfer Learning-Based Fall Detection Approach Using IoMT-Enabled Thermal Imaging-Assisted Pervasive Surveillance and Big Health Data
Khosro Rezaee, Mohammad R. Khosravi, Najmeh Neshat, et al.
Journal of Circuits Systems and Computers (2022) Vol. 31, Iss. 12
Closed Access | Times Cited: 8
Prognostic staging of esophageal cancer based on prognosis index and cuckoo search algorithm-support vector machine
Yanfeng Wang, Qing Liu, Yuli Yang, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104207-104207
Closed Access | Times Cited: 8
Page 1 - Next Page

Scroll to top