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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:

Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection
Omar AlShorman, Mahmoud Masadeh, Md Belal Bin Heyat, et al.
Journal of Integrative Neuroscience (2022) Vol. 21, Iss. 1
Open Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

Recent Advancements in Fruit Detection and Classification Using Deep Learning Techniques
Chiagoziem C. Ukwuoma, Qin Zhi-guang, Md Belal Bin Heyat, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-29
Open Access | Times Cited: 115
A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
Chiagoziem C. Ukwuoma, Zhiguang Qin, Md Belal Bin Heyat, et al.
Journal of Advanced Research (2022) Vol. 48, pp. 191-211
Open Access | Times Cited: 94
A novel lightweight deep learning model based on SqueezeNet architecture for viral lung disease classification in X-ray and CT images
Abhishek Agnihotri, Narendra Kohli
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 21
Wearable Flexible Electronics Based Cardiac Electrode for Researcher Mental Stress Detection System Using Machine Learning Models on Single Lead Electrocardiogram Signal
Md Belal Bin Heyat, Faijan Akhtar, Syed Jafar Abbas, et al.
Biosensors (2022) Vol. 12, Iss. 6, pp. 427-427
Open Access | Times Cited: 69
How can machine learning be used in stress management: A systematic literature review of applications in workplaces and education
Shivani Arora Mittal, Sumedha Mahendra, Viraj Sanap, et al.
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 2, pp. 100110-100110
Open Access | Times Cited: 44
Role of Oxidative Stress and Inflammation in Insomnia Sleep Disorder and Cardiovascular Diseases: Herbal Antioxidants and Anti-inflammatory Coupled with Insomnia Detection using Machine Learning
Md Belal Bin Heyat, Dakun Lai, Kaishun Wu, et al.
Current Pharmaceutical Design (2022) Vol. 28, Iss. 45, pp. 3618-3636
Closed Access | Times Cited: 40
Automated Lung-Related Pneumonia and COVID-19 Detection Based on Novel Feature Extraction Framework and Vision Transformer Approaches Using Chest X-ray Images
Chiagoziem C. Ukwuoma, Zhiguang Qin, Md Belal Bin Heyat, et al.
Bioengineering (2022) Vol. 9, Iss. 11, pp. 709-709
Open Access | Times Cited: 38
Yoga Meets Intelligent Internet of Things: Recent Challenges and Future Directions
Rishi Pal, Deepak Adhikari, Md Belal Bin Heyat, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 459-459
Open Access | Times Cited: 31
Heart Rate Variability-Based Mental Stress Detection: An Explainable Machine Learning Approach
Jyoti Sekhar Banerjee, Mufti Mahmud, David Brown
SN Computer Science (2023) Vol. 4, Iss. 2
Closed Access | Times Cited: 25
Efficacy of a vaginal suppository formulation prepared with Acacia arabica (Lam.) Willd. gum and Cinnamomum camphora (L.) J. Presl. in heavy menstrual bleeding analyzed using a machine learning technique
Mohamed Joonus Aynul Fazmiya, Arshiya Sultana, Md Belal Bin Heyat, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 9
Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal
Pragati Tripathi, M. A. Ansari, Tapan Kumar Gandhi, et al.
IEEE Access (2022) Vol. 10, pp. 108710-108721
Open Access | Times Cited: 33
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning
Muhammad Arifur Rahman, David Brown, Mufti Mahmud, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 21
Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning
Sumbul, Arshiya Sultana, Md Belal Bin Heyat, et al.
Frontiers in Chemistry (2024) Vol. 12
Open Access | Times Cited: 8
Smartphone Addiction among Students and its Harmful Effects on Mental Health, Oxidative Stress, and Neurodegeneration towards Future Modulation of Anti-Addiction Therapies: A Comprehensive Survey based on SLR, Research Questions, and Network Visualization Techniques
Faijan Akhtar, Parth Patel, Md Belal Bin Heyat, et al.
CNS & Neurological Disorders - Drug Targets (2022) Vol. 22, Iss. 7, pp. 1070-1089
Closed Access | Times Cited: 26
An End-to-End Cardiac Arrhythmia Recognition Method with an Effective DenseNet Model on Imbalanced Datasets Using ECG Signal
Hadaate Ullah, Md Belal Bin Heyat, Faijan Akhtar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-23
Open Access | Times Cited: 26
A Systematic Review of Virtual Reality and Robot Therapy as Recent Rehabilitation Technologies Using EEG-Brain–Computer Interface Based on Movement-Related Cortical Potentials
Ramadhan Rashid Said, Md Belal Bin Heyat, Keer Song, et al.
Biosensors (2022) Vol. 12, Iss. 12, pp. 1134-1134
Open Access | Times Cited: 25
Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals
Bishwajit Roy, Lokesh Malviya, Radhikesh Kumar, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1936-1936
Open Access | Times Cited: 16
The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review
Joseph Okeibunor, Anelisa Jaca, Chinwe Juliana Iwu, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 16
Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy Based on Arousal State Detection from Multimodal Data
Muhammad Arifur Rahman, David Brown, Nicholas Shopland, et al.
Lecture notes in computer science (2022), pp. 195-209
Closed Access | Times Cited: 22
Segmentation of Drug-Treated Cell Image and Mitochondrial-Oxidative Stress Using Deep Convolutional Neural Network
Awais Khan Nawabi, Jinfang Sheng, Rashid Abbasi, et al.
Oxidative Medicine and Cellular Longevity (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 20
Mental Stress Assessment in the Workplace: A Review
Ghinwa Masri, Fares Al-Shargie, Usman Tariq, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 3, pp. 958-976
Open Access | Times Cited: 12
A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate
Prithwijit Mukherjee, Anisha Halder Roy
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 16, pp. 2303-2324
Closed Access | Times Cited: 11
Deep learning-based stress detection for daily life use using single-channel EEG and GSR in a virtual reality interview paradigm
H.G. Kim, Solwoong Song, Baek Hwan Cho, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0305864-e0305864
Open Access | Times Cited: 4
Machine Learning-Based Human Stress Detection Model Employing Physiological Sensory Data
Sundaram Selvam, S. Malarvizhi, Ferents Koni Jiavana, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access
Stress monitoring using low-cost electroencephalogram devices: A systematic literature review
Gideon Vos, Maryam Ebrahimpour, Liza van Eijk, et al.
International Journal of Medical Informatics (2025) Vol. 198, pp. 105859-105859
Open Access
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