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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 Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data
Maia Angelova, Chandan Karmakar, Ye Zhu, et al.
IEEE Access (2020) Vol. 8, pp. 74413-74422
Open Access | Times Cited: 24

Showing 24 citing articles:

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
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: 47
The evolving role of quantitative actigraphy in clinical sleep medicine
Claudio Liguori, Samantha Mombelli, Mariana Fernandes, et al.
Sleep Medicine Reviews (2023) Vol. 68, pp. 101762-101762
Open Access | Times Cited: 33
Actigraphy in studies on insomnia: Worth the effort?
Lara Rösler, Glenn van der Lande, Jeanne Leerssen, et al.
Journal of Sleep Research (2022) Vol. 32, Iss. 1
Open Access | Times Cited: 22
Covariance patterns between sleep health domains and distributed intrinsic functional connectivity
Yulin Wang, Sarah Genon, Debo Dong, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 14
INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals
Kamlesh Kumar, Kapil Gupta, Manish Sharma, et al.
Medical Engineering & Physics (2023) Vol. 119, pp. 104028-104028
Closed Access | Times Cited: 8
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
Effect of Stress on Cardiorespiratory Synchronization of Ironman Athletes
Maia Angelova, Philip Holloway, S. Shelyag, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 17
Modeling Sleep Quality Depending on Objective Actigraphic Indicators Based on Machine Learning Methods
Olga Vl. Bitkina, Jaehyun Park, Jungyoon Kim
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 16, pp. 9890-9890
Open Access | Times Cited: 11
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
A machine learning model for multi-night actigraphic detection of chronic insomnia: development and validation of a pre-screening tool
Shitanshu Kusmakar, Chandan Karmakar, Ye Zhu, et al.
Royal Society Open Science (2021) Vol. 8, Iss. 6, pp. 202264-202264
Open Access | Times Cited: 15
Validating CircaCP: a generic sleep–wake cycle detection algorithm for unlabelled actigraphy data
S. Chen, Xinxin Sun
Royal Society Open Science (2024) Vol. 11, Iss. 5
Open Access | Times Cited: 1
Stress Prediction Using Enhanced Feature Selection and KNN Model
A.S Maria, R. Sunder, Anly M Antony
(2023), pp. 1-5
Closed Access | Times Cited: 3
Differentiating acute from chronic insomnia with machine learning from actigraphy time series data
Sunita Rani, S. Shelyag, Chandan Karmakar, et al.
Frontiers in Network Physiology (2022) Vol. 2
Open Access | Times Cited: 3
A double-layered fully automated insomnia identification model employing synthetic data generation using MCSA and CTGAN with single-channel EEG signals
Steffi Philip Mulamoottil, T. Vigneswaran
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Empowering Sleep Health: Unleashing the Potential of Artificial Intelligence and Data Science in Sleep Disorders
Xin Zan, Feng Liu, Xiaochen Xian, et al.
Springer optimization and its applications (2024), pp. 1-44
Closed Access
Patterns of sedentary behaviour in adults with acute insomnia derived from actigraphy data
Sunita Rani, S. Shelyag, Maia Angelova
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0291095-e0291095
Open Access | Times Cited: 1
Predicting Insomnia Using Multilayer Stacked Ensemble Model
Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, et al.
Communications in computer and information science (2021), pp. 338-350
Closed Access | Times Cited: 2
Designing a Smart Pillow for Sleep Quality Remote Monitoring
Vinicius Oliveira, Felisberto Pereira, Nuno Borges Carvalho, et al.
Research Square (Research Square) (2022)
Closed Access | Times Cited: 1
Sleep-Related Modulations of Heart Rate Variability, ECG, and Cardio-Respiratory Coupling
Thomas Penzel, Yaopeng Ma, Jan F. Krämer, et al.
Understanding complex systems (2021), pp. 311-327
Closed Access | Times Cited: 1
Machine Learning Techniques to Identify and Characterize Sleep Disorders Using Biosignals
Mercedes Barrachina, Laura Valenzuela López
Advances in medical technologies and clinical practice book series (2021), pp. 136-160
Closed Access | Times Cited: 1
Insomnia Detection using Machine Learning Classifiers
Ashima Arya, Ramneet Kaur, Deepam Goyal, et al.
(2023), pp. 1-6
Closed Access
EEG As A Biomarker for Psychiatric and Neurodevelopmental Disorders
Saeid Sanei, Jonathon A. Chambers
(2021), pp. 551-579
Closed Access
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