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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:

Automatic Sleep Disorders Classification Using Ensemble of Bagged Tree Based on Sleep Quality Features
Edita Rosana Widasari, Koichi Tanno, Hiroki Tamura
Electronics (2020) Vol. 9, Iss. 3, pp. 512-512
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages
Iqram Hussain, Md Azam Hossain, Rafsan Jany, et al.
Sensors (2022) Vol. 22, Iss. 8, pp. 3079-3079
Open Access | Times Cited: 81
EEG-based cross-subject emotion recognition using Fourier-Bessel series expansion based empirical wavelet transform and NCA feature selection method
Arti Anuragi, Dilip Singh Sisodia, Ram Bilas Pachori
Information Sciences (2022) Vol. 610, pp. 508-524
Closed Access | Times Cited: 70
Automatic Sleep-Stage Scoring in Healthy and Sleep Disorder Patients Using Optimal Wavelet Filter Bank Technique with EEG Signals
Manish Sharma, Jainendra Tiwari, U. Rajendra Acharya
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 6, pp. 3087-3087
Open Access | Times Cited: 66
Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals
Manish Sharma, Harsh S. Dhiman, U. Rajendra Acharya
Computers in Biology and Medicine (2021) Vol. 131, pp. 104246-104246
Closed Access | Times Cited: 57
Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data
Nico Surantha, Tri Fennia Lesmana, Sani Muhamad Isa
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 45
Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals
Manish Sharma, Jay Darji, Madhav Thakrar, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105224-105224
Closed Access | Times Cited: 36
Automated Identification of Sleep Disorder Types Using Triplet Half-Band Filter and Ensemble Machine Learning Techniques with EEG Signals
Manish Sharma, Jainendra Tiwari, Virendra Patel, et al.
Electronics (2021) Vol. 10, Iss. 13, pp. 1531-1531
Open Access | Times Cited: 37
Empirical Comparison of Sleep Disorder Prediction Using Machine Learning Techniques
Ayushi Jha, R. Bhardwaj, Pramanand Jha, et al.
Lecture notes in networks and systems (2025), pp. 61-76
Closed Access
High-Fidelity EEG Feature-Engineered Taxonomy for Bruxism and PLMS Prognostication Through Pioneering and Avant-Garde ML Frameworks
Shivam Tiwari, Deepak Arora, Barkha Bhardwaj
Measurement Sensors (2025), pp. 101868-101868
Open Access
A 1D-Convolutional Neural Network Framework with Multi-Modal Techniques for Sleep Staging System Using EEG and EOG Signals
Santosh Kumar Satapathy, Hari Kishan Kondaveeti, Vaishvi Shah
Communications in computer and information science (2025), pp. 59-71
Closed Access
A Deep Learning Approach to Automated Sleep Stages Classification Using Multi-Modal Signals
Santosh Kumar Satapathy, Hari Kishan Kondaveeti, S R Sreeja, et al.
Procedia Computer Science (2023) Vol. 218, pp. 867-876
Open Access | Times Cited: 7
Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals
Kamlesh Kumar, Prince Kumar, Ruchit Kumar Patel, et al.
IEEE Latin America Transactions (2024) Vol. 22, Iss. 3, pp. 186-194
Open Access | Times Cited: 2
Low-Power On-Chip Implementation of Enhanced SVM Algorithm for Sensors Fusion-Based Activity Classification in Lightweighted Edge Devices
Juneseo Chang, Myeongjin Kang, Daejin Park
Electronics (2022) Vol. 11, Iss. 1, pp. 139-139
Open Access | Times Cited: 12
Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals
Manish Sharma, Divyansh Anand, Sarv Verma, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106903-106903
Closed Access | Times Cited: 6
Sleep disorder identification using wavelet scattering on ECG signals
Manish Sharma, Harsh Lodhi, Rishita Yadav, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 6
Detection of multiple sclerosis from photic stimulation EEG signals
Büşra Kübra Karaca, Mehmet Feyzi Akşahin, Ruhşen Öcal
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102571-102571
Closed Access | Times Cited: 14
Multiscale entropy analysis of single lead ECG and ECG derived respiration for AI based prediction of sleep apnea events
Debanjan Parbat, Monisha Chakraborty
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105444-105444
Closed Access | Times Cited: 5
Analisis Faktor-Faktor yang Memengaruhi Kualitas Tidur Pasien Lanjut Usia dengan Penyakit Kronis
Akbar Harisa, Syahrul Syahrul, Yodang Yodang, et al.
Jurnal Kesehatan Vokasional (2022) Vol. 7, Iss. 1, pp. 1-1
Open Access | Times Cited: 8
Predictors of rapid eye movement sleep behavior disorder in patients with Parkinson’s disease based on random forest and decision tree
Wu Chong-Wen, Li Shasha, E. Xu
PLoS ONE (2022) Vol. 17, Iss. 6, pp. e0269392-e0269392
Open Access | Times Cited: 8
Exploring the Predictors of Rapid Eye Movement Sleep Behavior Disorder for Parkinson’s Disease Patients Using Classifier Ensemble
Haewon Byeon
Healthcare (2020) Vol. 8, Iss. 2, pp. 121-121
Open Access | Times Cited: 11
Sensitivity of Machine Learning Approaches to Fake and Untrusted Data in Healthcare Domain
Fiammetta Marulli, S. Marrone, Laura Verde
Journal of Sensor and Actuator Networks (2022) Vol. 11, Iss. 2, pp. 21-21
Open Access | Times Cited: 7
“Comparison of machine learning and deep learning classifier to detect sleep apnea using single-channel ECG and HRV: A Systematic Literature Review”
Nivedita Singh, R H Talwekar
Journal of Physics Conference Series (2022) Vol. 2273, Iss. 1, pp. 012015-012015
Open Access | Times Cited: 6
A Hierarchical Approach for the Diagnosis of Sleep Disorders Using Convolutional Recurrent Neural Network
Aditya Wadichar, Shruti Murarka, Dhruvi Shah, et al.
IEEE Access (2023) Vol. 11, pp. 125244-125255
Open Access | Times Cited: 3
Automatic sleep stage classification with reduced epoch of EEG
Sagar Santaji, Snehal Santaji, Veena Desai
Evolutionary Intelligence (2021) Vol. 15, Iss. 3, pp. 2239-2246
Closed Access | Times Cited: 7
An Effective EEG Signal-Based Sleep Staging System using Machine Learning Techniques
Santosh Kumar Satapathy, Shrey Thakkar, Ayushi Patel, et al.
2022 IEEE 6th Conference on Information and Communication Technology (CICT) (2022)
Closed Access | Times Cited: 5
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