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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:

COVID-19 Outbreak Prediction with Machine Learning
Sina Ardabili, Amir Mosavi, Pedram Ghamisi, et al.
Algorithms (2020) Vol. 13, Iss. 10, pp. 249-249
Open Access | Times Cited: 321

Showing 26-50 of 321 citing articles:

A Review of the Machine Learning Algorithms for Covid-19 Case Analysis
Shrikant Tiwari, Prasenjit Chanak, Sanjay Kumar Singh
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 1, pp. 44-59
Open Access | Times Cited: 51
Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis approach
Sumit Mohan, Anil Kumar Solanki, Harish Kumar, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105354-105354
Open Access | Times Cited: 50
Simulation of the COVID-19 patient flow and investigation of the future patient arrival using a time-series prediction model: a real-case study
Mahdieh Tavakoli, Reza Tavakkoli‐Moghaddam, Reza Mesbahi, et al.
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 4, pp. 969-990
Open Access | Times Cited: 39
The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19
Panagiota Galetsi⁠, Korina Katsaliaki, Sameer Kumar
Social Science & Medicine (2022) Vol. 301, pp. 114973-114973
Open Access | Times Cited: 39
Machine learning applications for COVID-19: a state-of-the-art review
Firuz Kamalov, Aswani Kumar Cherukuri, Hana Sulieman, et al.
Elsevier eBooks (2023), pp. 277-289
Open Access | Times Cited: 31
Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States
Lucas M. Stolerman, Leonardo Clemente, Canelle Poirier, et al.
Science Advances (2023) Vol. 9, Iss. 3
Open Access | Times Cited: 29
COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled
Dasari Naga Vinod, S. R. S. Prabaharan
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2667-2682
Open Access | Times Cited: 25
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: 14
Advancing drug delivery research: sustainable strategies for innovation and translation
Aliasgar Shahiwala
Drug Delivery and Translational Research (2025)
Closed Access | Times Cited: 1
TW-SIR: time-window based SIR for COVID-19 forecasts
Zhifang Liao, Peng Lan, Zhining Liao, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 70
Identification of high-risk COVID-19 patients using machine learning
Mario A. Quiroz‐Juárez, Armando Torres Gómez, Irma Hoyo-Ulloa, et al.
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0257234-e0257234
Open Access | Times Cited: 51
Robust modelling and prediction of the COVID-19 pandemic in Canada
Soheyl Khalilpourazari, Hossein Hashemi Doulabi
International Journal of Production Research (2021) Vol. 61, Iss. 24, pp. 8367-8383
Closed Access | Times Cited: 45
COVID-19 prediction models: a systematic literature review
Sheikh Muzaffar Shakeel, Nithya Sathya Kumar, Pranita Pandurang Madalli, et al.
Osong Public Health and Research Perspectives (2021) Vol. 12, Iss. 4, pp. 215-229
Open Access | Times Cited: 44
Dynamics of SARS-CoV-2 spreading under the influence of environmental factors and strategies to tackle the pandemic: A systematic review
Zunaira Asif, Zhi Chen, Saverio Stranges, et al.
Sustainable Cities and Society (2022) Vol. 81, pp. 103840-103840
Open Access | Times Cited: 34
Optimal Scheduling of Demand Side Load Management of Smart Grid Considering Energy Efficiency
Shoaib Balouch, Muhammad Abrar, Hafiz Abdul Muqeet, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 32
Interpretable Temporal Attention Network for COVID-19 forecasting
Binggui Zhou, Guanghua Yang, Zheng Shi, et al.
Applied Soft Computing (2022) Vol. 120, pp. 108691-108691
Open Access | Times Cited: 31
Machine learning toward improving the performance of membrane-based wastewater treatment: A review
Panchan Dansawad, Yanxiang Li, Yize Li, et al.
Advanced Membranes (2023) Vol. 3, pp. 100072-100072
Open Access | Times Cited: 19
Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays
Hassaan Malik, Tayyaba Anees
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63017-63045
Closed Access | Times Cited: 8
Data analytics to evaluate the impact of infectious disease on economy: Case study of COVID-19 pandemic
Meleik Hyman, Calvin Mark, Ahmed Imteaj, et al.
Patterns (2021) Vol. 2, Iss. 8, pp. 100315-100315
Open Access | Times Cited: 40
A hybrid approach to forecast the COVID-19 epidemic trend
Saqib Ali Nawaz, Jingbing Li, Uzair Aslam Bhatti, et al.
PLoS ONE (2021) Vol. 16, Iss. 10, pp. e0256971-e0256971
Open Access | Times Cited: 40
SNS Big Data Analysis Framework for COVID-19 Outbreak Prediction in Smart Healthy City
Abir El Azzaoui, Sushil Kumar Singh, Jong Hyuk Park
Sustainable Cities and Society (2021) Vol. 71, pp. 102993-102993
Open Access | Times Cited: 39
Machine learning-based IoT system for COVID-19 epidemics
Micheal Olaolu Arowolo, Roseline Oluwaseun Ogundokun, Sanjay Misra, et al.
Computing (2022) Vol. 105, Iss. 4, pp. 831-847
Open Access | Times Cited: 23
COVID-19 forecasting using new viral variants and vaccination effectiveness models
Essam A. Rashed, Sachiko Kodera, Akimasa Hirata
Computers in Biology and Medicine (2022) Vol. 149, pp. 105986-105986
Open Access | Times Cited: 23
The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after stroke
Md. Delowar Hossain, Stephen H. Scott, Tyler Cluff, et al.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 14
Epidemic efficacy of Covid-19 vaccination against Omicron: An innovative approach using enhanced residual recurrent neural network
Rakesh Kumar, Meenu Gupta, Aman Agarwal, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0280026-e0280026
Open Access | Times Cited: 14

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