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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:

Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm
Cafer Mert Yeşilkanat
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110210-110210
Open Access | Times Cited: 173

Showing 1-25 of 173 citing articles:

The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning
Sami Ben Jabeur, Rabeh Khalfaoui, Wissal Ben Arfi
Journal of Environmental Management (2021) Vol. 298, pp. 113511-113511
Open Access | Times Cited: 106
Geometry- and Accuracy-Preserving Random Forest Proximities
Jake S. Rhodes, Adele Cutler, Kevin R. Moon
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 9, pp. 10947-10959
Open Access | Times Cited: 61
Data analysis of Covid-19 pandemic and short-term cumulative case forecasting using machine learning time series methods
Serkan Ballı
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110512-110512
Open Access | Times Cited: 112
A systematic review on AI/ML approaches against COVID-19 outbreak
Onur Doğan, Sanju Tiwari, M. A. Jabbar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2655-2678
Open Access | Times Cited: 74
Predicting the changes in the WTI crude oil price dynamics using machine learning models
Hasraddin Guliyev, Eldayag Mustafayev
Resources Policy (2022) Vol. 77, pp. 102664-102664
Closed Access | Times Cited: 66
Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers
Kerim Koç, Ömer Ekmekcioğlu, Aslı Pelin Gürgün
Automation in Construction (2021) Vol. 131, pp. 103896-103896
Closed Access | Times Cited: 65
Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2
Kaifu Gao, Rui Wang, Jiahui Chen, et al.
Chemical Reviews (2022) Vol. 122, Iss. 13, pp. 11287-11368
Open Access | Times Cited: 58
Feature selection and hyper parameters optimization for short-term wind power forecast
Huang Hui, Rong Jia, Xiaoyu Shi, et al.
Applied Intelligence (2021) Vol. 51, Iss. 10, pp. 6752-6770
Closed Access | Times Cited: 56
Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic
Nora El-Rashidy, Samir Abdelrazik, Tamer Abuhmed, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1155-1155
Open Access | Times Cited: 56
Early-Stage Detection of Ovarian Cancer Based on Clinical Data Using Machine Learning Approaches
Md. Martuza Ahamad, Sakifa Aktar, Md. Jamal Uddin, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 8, pp. 1211-1211
Open Access | Times Cited: 40
A Review of Indoor Positioning Systems for UAV Localization with Machine Learning Algorithms
Chamali Sandamini, M. W. P. Maduranga, Valmik Tilwari, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1533-1533
Open Access | Times Cited: 29
Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist
Grace Gombolay, Nakul Gopalan, Andrea Bernasconi, et al.
Pediatric Neurology (2023) Vol. 141, pp. 42-51
Open Access | Times Cited: 22
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: 11
Monitoring and Recognizing Enterprise Public Opinion from High-Risk Users Based on User Portrait and Random Forest Algorithm
Tinggui Chen, Xiaohua Yin, Lijuan Peng, et al.
Axioms (2021) Vol. 10, Iss. 2, pp. 106-106
Open Access | Times Cited: 48
Estimation of modified expansive soil CBR with multivariate adaptive regression splines, random forest and gradient boosting machine
Chijioke Christopher Ikeagwuani
Innovative Infrastructure Solutions (2021) Vol. 6, Iss. 4
Closed Access | Times Cited: 42
Novel Insights in Spatial Epidemiology Utilizing Explainable AI (XAI) and Remote Sensing
Αναστάσιος Τέμενος, Ioannis N. Tzortzis, Maria Kaselimi, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3074-3074
Open Access | Times Cited: 30
The Distinction between R-CNN and Fast R-CNN in Image Analysis: A Performance Comparison
Maad M. Mijwil, Karan Aggarwal, Ruchi Doshi, et al.
Asian Journal of Applied Sciences (2022) Vol. 10, Iss. 5
Open Access | Times Cited: 27
Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations’ COVID-19 Pandemic
Yogesh Kumar, Apeksha Koul, Sukhpreet Kaur, et al.
SN Computer Science (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 27
Early Diagnosis and Classification of Fetal Health Status from a Fetal Cardiotocography Dataset Using Ensemble Learning
Adem Kuzu, Yunus Santur
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2471-2471
Open Access | Times Cited: 15
Customer Loyalty Prediction for Hotel Industry Using Machine Learning Approach
Iskandar Zul Putera Hamdan, Muhaini Othman, Yana Mazwin Mohmad Hassim, et al.
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 3, pp. 695-703
Open Access | Times Cited: 15
Long-term perspectives on land-use changes and air pollution policies in Iran: A comparative analysis of regional and global patterns in atmospheric PM2.5
Robabeh Yousefi, Fang Wang, Abdallah Shaheen, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124346-124346
Closed Access
Investigating the Role of Urban Factors in COVID-19 Transmission During the Pre- and Post-Omicron Periods: A Case Study of South Korea
Seung-A Shin, Jaewoong Won
Sustainability (2025) Vol. 17, Iss. 5, pp. 2005-2005
Open Access
Machine Learning for Mortality Analysis in Patients with COVID-19
Manuel Sánchez-Montañés, Pablo Rodríguez-Belenguer, Antonio J. Serrano-López, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 22, pp. 8386-8386
Open Access | Times Cited: 40
Novel Machine Learning-Based Energy Consumption Model of Wastewater Treatment Plants
Shike Zhang, Hongtao Wang, Arturo A. Keller
ACS ES&T Water (2021) Vol. 1, Iss. 12, pp. 2531-2540
Open Access | Times Cited: 37
Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission
Alvin Wei Ze Chew, Yue Pan, Ying Wang, et al.
Knowledge-Based Systems (2021) Vol. 233, pp. 107417-107417
Open Access | Times Cited: 34
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