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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:

Short-Term Prediction of COVID-19 Cases Using Machine Learning Models
Md. Shahriare Satu, Koushik Chandra Howlader, Mufti Mahmud, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4266-4266
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
Mohan Bhandari, Tej Bahadur Shahi, Birat Siku, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106156-106156
Open Access | Times Cited: 98
Four-way classification of Alzheimer’s disease using deep Siamese convolutional neural network with triplet-loss function
Faizal Hajamohideen, Noushath Shaffi, Mufti Mahmud, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 55
Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment
Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 527-527
Open Access | Times Cited: 46
Explainable Artificial Intelligence in Alzheimer’s Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 1-44
Open Access | Times Cited: 46
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 46
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images
Md. Khabir Uddin Ahamed, Manowarul Islam, Md Ashraf Uddin, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 105014-105014
Open Access | Times Cited: 99
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets
Md. Shahriare Satu, Md. Imran Khan, Mufti Mahmud, et al.
Knowledge-Based Systems (2021) Vol. 226, pp. 107126-107126
Open Access | Times Cited: 88
A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models
Yasminah Alali, Fouzi Harrou, Ying Sun
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 68
Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries
Sheikh Mohammed Shariful Islam, Ashis Talukder, Md. Abdul Awal, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 55
Machine learning models for prediction of co-occurrence of diabetes and cardiovascular diseases: a retrospective cohort study
Ahmad Shaker Abdalrada, Jemal Abawajy, Tahsien Al‐Quraishi, et al.
Journal of Diabetes & Metabolic Disorders (2022) Vol. 21, Iss. 1, pp. 251-261
Open Access | Times Cited: 49
Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions
Abdul Rehman Javed, Ayesha Saadia, Huma Mughal, et al.
Cognitive Computation (2023) Vol. 15, Iss. 6, pp. 1767-1812
Open Access | Times Cited: 36
State-of-the-Art of Stress Prediction from Heart Rate Variability Using Artificial Intelligence
Y. Haque, Rahat Shahriar Zawad, Chowdhury Saleh Ahmed Rony, et al.
Cognitive Computation (2023) Vol. 16, Iss. 2, pp. 455-481
Open Access | Times Cited: 31
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska, et al.
Oeconomia Copernicana (2024) Vol. 15, Iss. 1, pp. 27-58
Open Access | Times Cited: 12
AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods
Muhammad Usman Tariq, Shuhaida Ismail
Osong Public Health and Research Perspectives (2024) Vol. 15, Iss. 2, pp. 115-136
Open Access | Times Cited: 12
Deep learning for Covid-19 forecasting: State-of-the-art review.
Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, et al.
Neurocomputing (2022) Vol. 511, pp. 142-154
Open Access | Times Cited: 36
Application of Mathematical Modeling in Prediction of COVID-19 Transmission Dynamics
Ali AlArjani, Md Taufiq Nasseef, Sanaa M. Kamal, et al.
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 8, pp. 10163-10186
Open Access | Times Cited: 34
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
Accuracy comparison of ARIMA and XGBoost forecasting models in predicting the incidence of COVID-19 in Bangladesh
Md. Siddikur Rahman, Arman Hossain Chowdhury, М.К. Амрин
PLOS Global Public Health (2022) Vol. 2, Iss. 5, pp. e0000495-e0000495
Open Access | Times Cited: 27
Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach
S. Punitha, Thompson Stephan, Ramani Kannan, et al.
IEEE Access (2023) Vol. 11, pp. 12378-12393
Open Access | Times Cited: 15
Nucleic Acid Quantification by Multi-Frequency Impedance Cytometry and Machine Learning
Mahtab Kokabi, Jianye Sui, Neeru Gandotra, et al.
Biosensors (2023) Vol. 13, Iss. 3, pp. 316-316
Open Access | Times Cited: 15
Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh
Arman Hossain Chowdhury, Md. Siddikur Rahman
PLoS neglected tropical diseases (2025) Vol. 19, Iss. 1, pp. e0012800-e0012800
Open Access
Evaluations of Machine Learning Algorithms Using Simulation Study
Nasrin Khatun
Open Journal of Statistics (2025) Vol. 15, Iss. 01, pp. 41-52
Open Access
A Bidirectional Long Short-Term Memory Model Algorithm for Predicting COVID-19 in Gulf Countries
Theyazn H. H. Aldhyani, Hasan Alkahtani
Life (2021) Vol. 11, Iss. 11, pp. 1118-1118
Open Access | Times Cited: 27
Harnessing the power of AI: Advanced deep learning models optimization for accurate SARS-CoV-2 forecasting
Muhammad Usman Tariq, Shuhaida Binti Ismail, Muhammad Ali Babar, et al.
PLoS ONE (2023) Vol. 18, Iss. 7, pp. e0287755-e0287755
Open Access | Times Cited: 11
Country-report pattern corrections of new cases allow accurate 2-week predictions of COVID-19 evolution with the Gompertz model
Inmaculada Villanueva, David Conesa, Martí Català, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
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