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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:

Prediction of the number of COVID-19 confirmed cases based on K-means-LSTM
Shashank Reddy Vadyala, Sai Nethra Betgeri, Eric A. Sherer, et al.
Array (2021) Vol. 11, pp. 100085-100085
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 196
A review of physics-based machine learning in civil engineering
Shashank Reddy Vadyala, Sai Nethra Betgeri, John C. Matthews, et al.
Results in Engineering (2021) Vol. 13, pp. 100316-100316
Open Access | Times Cited: 152
Role of Hypertension on the Severity of COVID-19: A Review
Mei Peng, Jia He, Ying Xue, et al.
Journal of Cardiovascular Pharmacology (2021) Vol. 78, Iss. 5, pp. e648-e655
Open Access | Times Cited: 122
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
Carmela Comito, Clara Pizzuti
Artificial Intelligence in Medicine (2022) Vol. 128, pp. 102286-102286
Open Access | Times Cited: 96
Enhancing Digital Health Services with Big Data Analytics
Nisrine Berros, Fatna Elmendili, Youness Filaly, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 64-64
Open Access | Times Cited: 33
Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review
Jelena Musulin, Sandi Baressi Šegota, Daniel Štifanić, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 8, pp. 4287-4287
Open Access | Times Cited: 45
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: 38
An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM
Yangyi Zhang, Sui Tang, Yu Guo
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Prediction of dyslexia severity levels from fixation and saccadic eye movement using machine learning
A. JothiPrabha, R. Bhargavi, B.V Deepa Rani
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104094-104094
Closed Access | Times Cited: 20
Multi-Sensor Platform for Predictive Air Quality Monitoring
Gabriele Rescio, Andrea Manni, Andrea Caroppo, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5139-5139
Open Access | Times Cited: 11
The feasibility of using machine learning to predict COVID-19 cases
Shan Chen, Yuanzhao Ding
International Journal of Medical Informatics (2025) Vol. 196, pp. 105786-105786
Closed Access
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak
Zahra Movahedi Nia, Laleh Seyyed-Kalantari, Mary Goitom, et al.
Artificial Intelligence in Medicine (2025) Vol. 161, pp. 103076-103076
Closed Access
Machine Learning for Infectious Disease Risk Prediction: A Survey
Mutong Liu, Yang Liu, Jiming Liu
ACM Computing Surveys (2025)
Open Access
CoBiD-net: a tailored deep learning ensemble model for time series forecasting of covid-19
Sourabh Shastri, Kuljeet Singh, Monu Deswal, et al.
Spatial Information Research (2021) Vol. 30, Iss. 1, pp. 9-22
Closed Access | Times Cited: 21
Hybrid of K-Means and partitioning around medoids for predicting COVID-19 cases: Iraq case study
Nidaa Ghalib Ali, Saba Dhey Abed, Faris Ali Jasim Shaban, et al.
Periodicals of Engineering and Natural Sciences (PEN) (2021) Vol. 9, Iss. 4, pp. 569-569
Open Access | Times Cited: 21
Epidemiological Predictive Modeling of COVID-19 Infection: Development, Testing, and Implementation on the Population of the Benelux Union
Tijana Šušteršič, Anđela Blagojević, Danijela Cvetković, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 18
Combining rank-size and k-means for clustering countries over the COVID-19 new deaths per million
Roy Cerqueti, Valerio Ficcadenti
Chaos Solitons & Fractals (2022) Vol. 158, pp. 111975-111975
Open Access | Times Cited: 14
Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and Hidden Markov Models
Alexandre Martins, Balduíno César Mateus, Inácio Fonseca, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2651-2651
Open Access | Times Cited: 7
Physics-informed neural network method for solving one-dimensional advection equation using PyTorch
Shashank Reddy Vadyala, Sai Nethra Betgeri, Naga Parameshwari Betgeri
Array (2021) Vol. 13, pp. 100110-100110
Open Access | Times Cited: 16
An Optimized Clustering Quality Analysis in K-Means Cluster Using Silhouette Scores
Fauqia Ilyas, S. Silvia Priscila
Advances in computational intelligence and robotics book series (2024), pp. 49-63
Closed Access | Times Cited: 2
Comprehensive Clustering Analysis and Profiling of COVID-19 Vaccine Hesitancy and Related Factors across U.S. Counties: Insights for Future Pandemic Responses
Morteza Maleki, SeyedAli Ghahari
Healthcare (2024) Vol. 12, Iss. 15, pp. 1458-1458
Open Access | Times Cited: 2
Influence of state reopening policies in COVID-19 mortality
Ka-Ming Tam, Nicholas Walker, Juana Moreno
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 9
Wastewater pipe condition rating model using K- Nearest Neighbors
Sai Nethra Betgeri, Shashank Reddy Vadyala, John C. Matthews, et al.
Tunnelling and Underground Space Technology (2022) Vol. 132, pp. 104921-104921
Open Access | Times Cited: 9
Physical and pulmonary capacities of individuals with severe coronavirus disease after hospital discharge: A preliminary cross-sectional study based on cluster analysis
Angélica Castilho Alonso, Paulo Roberto Santos Silva, Marília Simões Lopes Quintana, et al.
Clinics (2021) Vol. 76, pp. e3540-e3540
Open Access | Times Cited: 11
Application of Data Science for Cluster Analysis of COVID-19 Mortality According to Sociodemographic Factors at Municipal Level in Mexico
Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Kirvis Torres-Poveda, et al.
Mathematics (2022) Vol. 10, Iss. 13, pp. 2167-2167
Open Access | Times Cited: 8
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