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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 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach
Gergő Pintér, Imre Felde, Amir Mosavi, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, et al.
Results in Physics (2021) Vol. 27, pp. 104495-104495
Open Access | Times Cited: 132
Hybrid Genetic Algorithm and Machine Learning Method for COVID-19 Cases Prediction
Miodrag Živković, K. Venkatachalam, Nebojša Bačanin, et al.
Lecture notes in networks and systems (2021), pp. 169-184
Closed Access | Times Cited: 102
Intelligent Internet of Things and Advanced Machine Learning Techniques for COVID-19
Chinmay Chakraborty, Arij Naser Abougreen
EAI Endorsed Transactions on Pervasive Health and Technology (2021) Vol. 7, Iss. 26, pp. e1-e1
Open Access | Times Cited: 48
An overview of healthcare data analytics with applications to the COVID-19 pandemic
Zhe Fei, Yevgen Ryeznik, Alex Sverdlov, et al.
IEEE Transactions on Big Data (2021), pp. 1-1
Open Access | Times Cited: 27
Winter is Coming: A Southern Hemisphere Perspective of the Environmental Drivers of SARS-CoV-2 and the Potential Seasonality of COVID-19
Albertus J. Smit, Jennifer M. Fitchett, François Engelbrecht, et al.
(2020)
Open Access | Times Cited: 25
Data science in economics: comprehensive review of advanced machine learning and deep learning methods
Saeed Nosratabadi, Amir Mosavi, Puhong Duan, et al.
(2020)
Open Access | Times Cited: 22
Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods
Farhan Mohammad Khan, Akshay Kumar, Harish Puppala, et al.
Journal of Safety Science and Resilience (2021) Vol. 2, Iss. 2, pp. 50-62
Open Access | Times Cited: 19
Hybrid Machine Learning Model Coupled with School Closure For Forecasting COVID-19 Cases in the Most Affected Countries
Yıldıran Yılmaz, Selim Buyrukoğlu
Hittite Journal of Science & Engineering (2021) Vol. 8, Iss. 2, pp. 123-131
Open Access | Times Cited: 17
COVID-19 Pandemic: A Comparative Prediction Using Machine Learning
Rifat Sadik, Md Latifur Reza, Abdullah Al Noman, et al.
International Journal of Automation Artificial Intelligence and Machine Learning (2020), pp. 01-19
Open Access | Times Cited: 15
Knowledge graph analysis and visualization of AI technology applied in COVID-19
Zongsheng Wu, Ru Xue, M. A. Shao
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 18, pp. 26396-26408
Open Access | Times Cited: 14
Analysis of COVID-19 Prediction Models: Design & Analysis of New Machine Learning Approach
Raja Marappan, S. Bhaskaran, N. Aakaash, et al.
Journal of Applied Mathematics and Computation (2022) Vol. 6, Iss. 1, pp. 121-126
Open Access | Times Cited: 8
Covid-19 Prediction using Machine Learning Methods: An Article Review
Samera Shams Hussein, Wisal Hashim Abdulsalam, Wisam Abed Shukur
Wasit Journal of Pure sciences (2023) Vol. 2, Iss. 1, pp. 217-230
Open Access | Times Cited: 4
Rapid COVID-19 Diagnosis Using Deep Learning of the Computerized Tomography Scans
Hamed Tabrizchi, Amir Mosavi, Ákos Szabó-Gali, et al.
(2020)
Open Access | Times Cited: 9
COVID-19 World Vaccine Adverse Reactions Based on Machine Learning Clustering Algorithm
Lozan M. Abdulrahman, Adnan Mohsin Abdulazeez, Dathar Abas Hasan
Qubahan Academic Journal (2021) Vol. 1, Iss. 2, pp. 134-140
Open Access | Times Cited: 8
Estimating the parameters of SIR model of COVID-19 cases in India during lock down periods
Dilip Kumar Bagal, Arati Rath, Abhishek Barua, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 7
Machine Learning Algorithms for Predicting the Spread of Covid‒19 in Indonesia
Syafri Arlis, Sarjon Defit
TEM Journal (2021), pp. 970-974
Open Access | Times Cited: 6
A hybrid model based on mBA-ANFIS for COVID 19 confirmed cases prediction and forecast
Sohail Saif, Priya Das, Suparna Biswas
Research Square (Research Square) (2020)
Open Access | Times Cited: 6
Coronavirus Disease (COVID-19) Global Prediction Using Hybrid Artificial Intelligence Method of ANN Trained with Grey Wolf Optimizer
Sina Ardabili, Amir Mosavi, Shahab S. Band, et al.
(2020)
Open Access | Times Cited: 5
An ICU Admission Predictive Model for COVID-19 Patients in Saudi Arabia
Hamza Ghandorh, Mohammad Zubair Khan, Raed Alsufyani, et al.
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 7
Open Access | Times Cited: 4
A Review on Potentials of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading
Mohammad Jamshidi, Sobhan Roshani, Jakub Talla, et al.
Research Square (Research Square) (2021)
Closed Access | Times Cited: 4
Analysis and Prediction of COVID-19 Pandemic in Bangladesh by using Long short-term memory network (LSTM) and Adaptive neuro fuzzy inference system(ANFIS)
Anjir Ahmed Chowdhury, Khandaker Tabin Hasan, Khadija Kubra Shahjalal Hoque
Research Square (Research Square) (2020)
Open Access | Times Cited: 3
Data science in economics: comprehensive review of advanced machine learning and deep learning methods
Saeed Nosratabadi, Amir Mosavi, Puhong Duan, et al.
(2020)
Closed Access | Times Cited: 3
Revolutionizing COVID-19 Diagnosis: Advancements in Chest X-ray Analysis through Customized Convolutional Neural Networks and Image Fusion Data Augmentation
Zainab Alzamili, Kassem Danach, Mondher Frikha
BIO Web of Conferences (2024) Vol. 97, pp. 00014-00014
Open Access
Analysis and Prediction of COVID-19 Pandemic in Bangladesh by using Long short-term memory network (LSTM) and Adaptive neuro fuzzy inference system(ANFIS)
Anjir Ahmed Chowdhury, Khandaker Tabin Hasan, Khadija Kubra Shahjalal Hoque
Research Square (Research Square) (2020)
Open Access | Times Cited: 2
Coronavirus Disease (COVID-19) Global Prediction Using Hybrid Artificial Intelligence Method of ANN Trained with Grey Wolf Optimizer
Sina Ardabili, Amir Mosavi, Shahab S. Band, et al.
(2020)
Open Access | Times Cited: 2
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