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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:

RETRACTED ARTICLE: Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques
Muhammed Kürşad Uçar, Mehmet Recep Bozkurt, Cahit Bílgín, et al.
Neural Computing and Applications (2016) Vol. 29, Iss. 8, pp. 1-16
Closed Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Classification of acute lymphoblastic leukemia using deep learning
Amjad Rehman, Naveed Abbas, Tanzila Saba, et al.
Microscopy Research and Technique (2018) Vol. 81, Iss. 11, pp. 1310-1317
Open Access | Times Cited: 274
Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring
Jesse Fine, Kimberly L. Branan, Andres J. Rodriguez, et al.
Biosensors (2021) Vol. 11, Iss. 4, pp. 126-126
Open Access | Times Cited: 205
Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network
Tao Wang, Changhua Lu, Guohao Shen, et al.
PeerJ (2019) Vol. 7, pp. e7731-e7731
Open Access | Times Cited: 159
Wearable Photoplethysmography for Cardiovascular Monitoring
Peter Charlton, P. A. Kyriacou, Jonathan Mant, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 3, pp. 355-381
Open Access | Times Cited: 93
Application of photoplethysmography signals for healthcare systems: An in-depth review
Hui Wen Loh, Shuting Xu, Oliver Faust, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 216, pp. 106677-106677
Open Access | Times Cited: 71
Sleep stage classification from heart-rate variability using long short-term memory neural networks
Mustafa Radha, Pedro Fonseca, Arnaud Moreau, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 142
The monarch butterfly optimization algorithm for solving feature selection problems
Mohammed Alweshah, Saleh Al Khalaileh, Brij B. Gupta, et al.
Neural Computing and Applications (2020) Vol. 34, Iss. 14, pp. 11267-11281
Open Access | Times Cited: 134
Validation of Photoplethysmography-Based Sleep Staging Compared With Polysomnography in Healthy Middle-Aged Adults
Pedro Fonseca, Tim Weysen, Maaike Goelema, et al.
SLEEP (2017) Vol. 40, Iss. 7
Open Access | Times Cited: 129
The Effect of Training and Testing Process on Machine Learning in Biomedical Datasets
Muhammed Kürşad Uçar, Majid Nour, Hatem F. Sindi, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-17
Open Access | Times Cited: 120
Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea
Henri Korkalainen, Juhani Aakko, Brett Duce, et al.
SLEEP (2020) Vol. 43, Iss. 11
Open Access | Times Cited: 93
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
Mustafa Radha, Pedro Fonseca, Arnaud Moreau, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 86
Automatic selection of hidden neurons and weights in neural networks using grey wolf optimizer based on a hybrid encoding scheme
Hossam Faris, Seyedali Mirjalili, Ibrahim Aljarah
International Journal of Machine Learning and Cybernetics (2019) Vol. 10, Iss. 10, pp. 2901-2920
Closed Access | Times Cited: 85
Multi-Objective Stochastic Fractal Search: a powerful algorithm for solving complex multi-objective optimization problems
Soheyl Khalilpourazari, Bahman Naderi, Saman Khalilpourazary
Soft Computing (2019) Vol. 24, Iss. 4, pp. 3037-3066
Closed Access | Times Cited: 83
Sensors Capabilities, Performance, and Use of Consumer Sleep Technology
Massimiliano de Zambotti, Nicola Cellini, Luca Menghini, et al.
Sleep Medicine Clinics (2020) Vol. 15, Iss. 1, pp. 1-30
Open Access | Times Cited: 77
Heart rate variability for medical decision support systems: A review
Oliver Faust, Wanrong Hong, Hui Wen Loh, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105407-105407
Closed Access | Times Cited: 55
Cloud‐based decision support system for the detection and classification of malignant cells in breast cancer using breast cytology images
Tanzila Saba, Sana Ullah Khan, Naveed Islam, et al.
Microscopy Research and Technique (2019) Vol. 82, Iss. 6, pp. 775-785
Closed Access | Times Cited: 67
A hybrid mine blast algorithm for feature selection problems
Mohammed Alweshah, Saleh Alkhalaileh, Dheeb Albashish, et al.
Soft Computing (2020) Vol. 25, Iss. 1, pp. 517-534
Closed Access | Times Cited: 64
Masonry Compressive Strength Prediction Using Artificial Neural Networks
Panagiotis G. Asteris, Ioannis Argyropoulos, Liborio Cavaleri, et al.
Communications in computer and information science (2019), pp. 200-224
Closed Access | Times Cited: 60
A novel multi-class imbalanced EEG signals classification based on the adaptive synthetic sampling (ADASYN) approach
Adi Alhudhaif
PeerJ Computer Science (2021) Vol. 7, pp. e523-e523
Open Access | Times Cited: 44
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Closed Access | Times Cited: 30
A Multicriteria Approach for Modeling Small Enterprise Credit Rating: Evidence from China
Nana Chai, Bi Wu, Weiwei Yang, et al.
Emerging Markets Finance and Trade (2019) Vol. 55, Iss. 11, pp. 2523-2543
Closed Access | Times Cited: 49
An ensemble classification of exudates in color fundus images using an evolutionary algorithm based optimal features selection
Hidayat Ullah, Tanzila Saba, Naveed Islam, et al.
Microscopy Research and Technique (2019) Vol. 82, Iss. 4, pp. 361-372
Closed Access | Times Cited: 48
Computational Sleep Behavior Analysis: A Survey
Sarah Fallmann, Liming Chen
IEEE Access (2019) Vol. 7, pp. 142421-142440
Open Access | Times Cited: 48
What attracts vehicle consumers’ buying
Fuli Zhou, Ming K. Lim, Yandong He, et al.
Industrial Management & Data Systems (2019) Vol. 120, Iss. 1, pp. 57-78
Open Access | Times Cited: 48
A Novel Hybrid Fuzzy PD-TID Controller for Load Frequency Control of a Standalone Microgrid
Bhuvnesh Khokhar, Surender Dahiya, K. P. Singh Parmar
Arabian Journal for Science and Engineering (2020) Vol. 46, Iss. 2, pp. 1053-1065
Closed Access | Times Cited: 47
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