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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:

Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review
Farrukh Saleem, Abdullah Alghamdi, Madini O. Alassafi, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 9, pp. 5099-5099
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 43
An Ensemble Approach to Predict a Sustainable Energy Plan for London Households
Niraj Buyo, Akbar Sheikh-Akbari, Farrukh Saleem
Sustainability (2025) Vol. 17, Iss. 2, pp. 500-500
Open Access
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
Saeed Shakibfar, Fredrik Nyberg, Huiqi Li, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 13
Technological Advancements and Elucidation Gadgets for Healthcare Applications: An Exhaustive Methodological Review-Part-I (AI, Big Data, Block Chain, Open-Source Technologies, and Cloud Computing)
Sridhar Siripurapu, Naresh K. Darimireddy, Abdellah Chehri, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 750-750
Open Access | Times Cited: 12
Deep Learning in COVID-19 Diagnosis, Prognosis and Treatment Selection
Suya Jin, Guiyan Liu, Qifeng Bai
Mathematics (2023) Vol. 11, Iss. 6, pp. 1279-1279
Open Access | Times Cited: 9
StatModPredict: A User-Friendly R-Shiny Interface for Fitting and Forecasting with Statistical Models
Amanda Bleichrodt, Amelia Phan, Ruiyan Luo, et al.
(2024)
Closed Access | Times Cited: 2
Comparison of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for Estimating the Susceptible-Exposed-Infected-Recovered (SEIR) Model Parameter Values
Aminatus Sa’adah, Ayomi Sasmito, Asysta Amalia Pasaribu
Journal of Information Systems Engineering and Business Intelligence (2024) Vol. 10, Iss. 2, pp. 290-301
Open Access | Times Cited: 2
Temporal Analysis of Infectious Diseases: A Case Study on COVID-19
Jinyang Liu, Boping Tian, Jiaxuan Wu
Acadlore Transactions on Applied Mathematics and Statistics (2023) Vol. 1, Iss. 1, pp. 1-9
Open Access | Times Cited: 6
Real-time infectious disease endurance indicator system for scientific decisions using machine learning and rapid data processing
Shivendra Dubey, Dinesh Verma, Mahesh Kumar
PeerJ Computer Science (2024) Vol. 10, pp. e2062-e2062
Open Access | Times Cited: 1
Ensemble machine learning framework for predicting maternal health risk during pregnancy
Alaa O. Khadidos, Farrukh Saleem, Shitharth Selvarajan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A Machine Learning-Based Model for Epidemic Forecasting and Faster Drug Discovery
Konstantinos D. Stergiou, Georgios Minopoulos, Vasileios A. Memos, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10766-10766
Open Access | Times Cited: 8
CPSO: Chaotic Particle Swarm Optimization for Cluster Analysis
Jiaji Wang
Journal of Artificial Intelligence and Technology (2023)
Open Access | Times Cited: 4
Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study
Binxu Qiu, Zixiong Shen, Dongliang Yang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
Spatio-Temporal Attributes of Varicella-Zoster Case Number Trends Assist with Optimizing Machine Learning Predictions
David A. Wood
Deleted Journal (2023), pp. 43-53
Open Access | Times Cited: 3
New data about library service quality and convolution prediction
Nguyen Minh Tuan, Meesad Phayung, Van Hieu Duong, et al.
CTU Journal of Innovation and Sustainable Development (2023) Vol. 15, Iss. ISDS, pp. 30-38
Open Access | Times Cited: 3
Unlocking Insights: Analysing COVID-19 Lockdown Policies and Mobility Data in Victoria, Australia, through a Data-Driven Machine Learning Approach
Shiyang Lyu, Oyelola A. Adegboye, Kiki Adhinugraha, et al.
Data (2023) Vol. 9, Iss. 1, pp. 3-3
Open Access | Times Cited: 3
BERT-Based Hybrid RNN Model for Multi-class Text Classification to Study the Effect of Pre-trained Word Embeddings
S Shreyashree, Pramod Sunagar, S Rajarajeswari, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 9
Open Access | Times Cited: 5
Machine Learning Techniques for Disease Prediction
Nikhil Potnis, Bhavana Tiple
ITM Web of Conferences (2023) Vol. 57, pp. 01004-01004
Open Access | Times Cited: 2
DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction
Chaoyue Sun, Ruogu Fang, Marco Salemi, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 4, pp. e1011351-e1011351
Open Access
Machine Learning Techniques for the Management of Diseases: A Paper Review
Ngolah Kenneth Tim, Vivient Corneille Kamla, Elie Fute Tagne
(2024), pp. 361-379
Closed Access
Study of the Six-Compartment Nonlinear COVID-19 Model with the Homotopy Perturbation Method
Muhammad Rafiullah, Muhammad Asif, Dure Jabeen, et al.
Axioms (2024) Vol. 13, Iss. 5, pp. 311-311
Open Access
COVID‐19 vaccination strategies in Africa: A scoping review of the use of mathematical models to inform policy
Sylvia K. Ofori, Emmanuelle A. Dankwa, Eve Hiyori Estrada, et al.
Tropical Medicine & International Health (2024) Vol. 29, Iss. 6, pp. 466-476
Open Access
Prediction of tuberculosis clusters in the riverine municipalities of the Brazilian Amazon with machine learning
Luis Silva, Luise Gomes da Motta, Lynn E. Eberly
Revista Brasileira de Epidemiologia (2024) Vol. 27
Open Access
Comparative analysis on the prediction of leak on gas pipeline using physical models and machine learning regression models
Anthony Chikwe, Ebenezer Ananiyom Aniyom, Onyebuchi Ivan Nwanwe, et al.
Journal of Petroleum and Mining Engineering (2024), pp. 1-6
Open Access
Determining epidemiological patterns in disease identification using mathematical models on machine learning based multilayer structures
Riah Ukur Ginting, Muhammad Zarlis, Poltak Sihombing, et al.
Eastern-European Journal of Enterprise Technologies (2024) Vol. 4, Iss. 4 (130), pp. 46-53
Open Access
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