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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:

Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network
Hui Wen Loh, Chui Ping Ooi, Shivani Dhok, et al.
Applied Intelligence (2021) Vol. 52, Iss. 3, pp. 2903-2917
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A review of automated sleep disorder detection
Shuting Xu, Oliver Faust, Silvia Seoni, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106100-106100
Closed Access | Times Cited: 48
SleepContextNet: A temporal context network for automatic sleep staging based single-channel EEG
Caihong Zhao, Jinbao Li, Yahong Guo
Computer Methods and Programs in Biomedicine (2022) Vol. 220, pp. 106806-106806
Closed Access | Times Cited: 45
Automatic classification of sleep stages using EEG signals and convolutional neural networks
Ihssan S. Masad, Amin Alqudah, Shoroq Qazan
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0297582-e0297582
Open Access | Times Cited: 6
Automated Characterization of Cyclic Alternating Pattern Using Wavelet-Based Features and Ensemble Learning Techniques with EEG Signals
Manish Sharma, Virendra Patel, Jainendra Tiwari, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1380-1380
Open Access | Times Cited: 37
An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More Than 8000 Subjects
Manish Sharma, Anuj Kumar Yadav, Jainendra Tiwari, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 12, pp. 7176-7176
Open Access | Times Cited: 23
Temporal Feature Extraction and Machine Learning for Classification of Sleep Stages Using Telemetry Polysomnography
Utkarsh Lal, M Suhas, Anitha Hoblidar
Brain Sciences (2023) Vol. 13, Iss. 8, pp. 1201-1201
Open Access | Times Cited: 14
Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals
Manish Sharma, Divyash Kumbhani, Jainendra Tiwari, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105364-105364
Closed Access | Times Cited: 22
Sleep stage classification in EEG signals using the clustering approach based probability distribution features coupled with classification algorithms
Wessam Al-Salman, Yan Li, Atheer Y. Oudah, et al.
Neuroscience Research (2022) Vol. 188, pp. 51-67
Open Access | Times Cited: 22
Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network
Shruti Murarka, Aditya Wadichar, Ankit A. Bhurane, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105594-105594
Closed Access | Times Cited: 21
Empirical mode decomposition and convolutional neural network-based approach for diagnosing psychotic disorders from eeg signals
Zülfikar Aslan, Akin Mehmet
Applied Intelligence (2022) Vol. 52, Iss. 11, pp. 12103-12115
Closed Access | Times Cited: 20
Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges
Manish Sharma, Harsh Lodhi, Rishita Yadav, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 235, pp. 107471-107471
Closed Access | Times Cited: 13
A Review of Methods for Sleep Arousal Detection Using Polysomnographic Signals
Xiangyu Qian, Ye Qiu, Qingzu He, et al.
Brain Sciences (2021) Vol. 11, Iss. 10, pp. 1274-1274
Open Access | Times Cited: 24
An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet‐based entropy features
Manish Sharma, Ankit A. Bhurane, U. Rajendra Acharya
Expert Systems (2022) Vol. 41, Iss. 5
Closed Access | Times Cited: 18
Exploring the Role of Chin Electromyography in Automatic Sleep Stage Scoring
A. Rehman, Mostafa Moussa, Hani Saleh, et al.
Heliyon (2025), pp. e42122-e42122
Open Access
EnsembleSleepNet: a novel ensemble deep learning model based on transformers and attention mechanisms using multimodal data for sleep stages classification
Sahar Hassanzadeh Mostafaei, Jafar Tanha, Amir Sharafkhaneh
Applied Intelligence (2025) Vol. 55, Iss. 7
Closed Access
The Centers and Margins of Modeling Humans in Well-being Technologies
Jichen Zhu, Pedro Sanches, Vasiliki Tsaknaki, et al.
(2025), pp. 1-16
Closed Access
Automated sleep scoring system using multi-channel data and machine learning
Recep Sinan Arslan, Hasan Ulutaş, Ahmet Sertol Köksal, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105653-105653
Closed Access | Times Cited: 16
Intelligent automatic sleep staging model based on CNN and LSTM
Lan Zhuang, Minhui Dai, Yi Zhou, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 15
An automatic sleep-scoring system in elderly women with osteoporosis fractures using frequency localized finite orthogonal quadrature Fejer Korovkin kernels
Bharti Dakhale, Manish Sharma, Mohammad Arif, et al.
Medical Engineering & Physics (2023) Vol. 112, pp. 103956-103956
Closed Access | Times Cited: 9
MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model
X. Ji, Yan Li, Peng Wen, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 244, pp. 107992-107992
Open Access | Times Cited: 9
A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank
Manish Sharma, Paresh Makwana, Rajesh Singh Chad, et al.
Applied Intelligence (2023) Vol. 53, Iss. 15, pp. 18681-18699
Open Access | Times Cited: 8
Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals
Manish Sharma, Harsh Lodhi, Rishita Yadav, et al.
IEEE Access (2023) Vol. 11, pp. 50946-50961
Open Access | Times Cited: 8
An attention-based multi-resolution deep learning model for automatic A-phase detection of cyclic alternating pattern in sleep using single-channel EEG
Barproda Halder, Tanvir Anjum, Mohammed Imamul Hassan Bhuiyan
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104730-104730
Closed Access | Times Cited: 7
A systematic review on automatic identification of insomnia
Manisha Ingle, Manish Sharma, Kamlesh Kumar, et al.
Physiological Measurement (2024) Vol. 45, Iss. 3, pp. 03TR01-03TR01
Closed Access | Times Cited: 2
Automated accurate insomnia detection system using wavelet scattering method using ECG signals
Nishant Sharma, Manish Sharma, Hardik Telangore, et al.
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3464-3481
Closed Access | Times Cited: 2
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