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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:

Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art
Gitanjali R. Shinde, Asmita Balasaheb Kalamkar, Parikshit N. Mahalle, et al.
SN Computer Science (2020) Vol. 1, Iss. 4
Open Access | Times Cited: 291

Showing 1-25 of 291 citing articles:

Coronavirus disease (COVID-19) cases analysis using machine-learning applications
Ameer Sardar Kwekha Rashid, Heamn Noori Abduljabbar, Bilal Alhayani
Applied Nanoscience (2021) Vol. 13, Iss. 3, pp. 2013-2025
Open Access | Times Cited: 311
Forecasting the spread of the COVID-19 pandemic in Saudi Arabia using ARIMA prediction model under current public health interventions
Saleh I. Alzahrani, Ibrahim Aljamaan, Ebrahim Al-Fakih
Journal of Infection and Public Health (2020) Vol. 13, Iss. 7, pp. 914-919
Open Access | Times Cited: 251
Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study
Sourabh Shastri, Kuljeet Singh, Sachin Kumar, et al.
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110227-110227
Open Access | Times Cited: 244
A review on COVID-19 forecasting models
Iman Rahimi, Chen Fang, Amir H. Gandomi
Neural Computing and Applications (2021) Vol. 35, Iss. 33, pp. 23671-23681
Open Access | Times Cited: 220
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
COVID-19 Prediction Models and Unexploited Data
K. C. Santosh
Journal of Medical Systems (2020) Vol. 44, Iss. 9
Open Access | Times Cited: 151
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial
Hoyt Burdick, Carson Lam, Samson Mataraso, et al.
Computers in Biology and Medicine (2020) Vol. 124, pp. 103949-103949
Open Access | Times Cited: 146
A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak
Abbas Mardani, Mahyar Kamali Saraji, Arunodaya Raj Mishra, et al.
Applied Soft Computing (2020) Vol. 96, pp. 106613-106613
Open Access | Times Cited: 143
Temperature Decreases Spread Parameters of the New Covid-19 Case Dynamics
Jacques Demongeot, Yannis Flet-Berliac, Hervé Seligmann
Biology (2020) Vol. 9, Iss. 5, pp. 94-94
Open Access | Times Cited: 141
Nonlinear Neural Network Based Forecasting Model for Predicting COVID-19 Cases
Suyel Namasudra, S. Dhamodharavadhani, R. Rathipriya
Neural Processing Letters (2021) Vol. 55, Iss. 1, pp. 171-191
Open Access | Times Cited: 118
COVID-19 sentiment analysis via deep learning during the rise of novel cases
Rohitash Chandra, Aswin Krishna
PLoS ONE (2021) Vol. 16, Iss. 8, pp. e0255615-e0255615
Open Access | Times Cited: 114
A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19
Jianguo Chen, Kenli Li, Zhaolei Zhang, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 8, pp. 1-32
Open Access | Times Cited: 112
Cascaded deep learning classifiers for computer-aided diagnosis of COVID-19 and pneumonia diseases in X-ray scans
Mohamed Esmail Karar, Ezz El‐Din Hemdan, Marwa A. Shouman
Complex & Intelligent Systems (2020) Vol. 7, Iss. 1, pp. 235-247
Open Access | Times Cited: 133
Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks
Barenya Bikash Hazarika, Deepak Gupta
Applied Soft Computing (2020) Vol. 96, pp. 106626-106626
Open Access | Times Cited: 113
Time series forecasting of COVID-19 transmission in Asia Pacific countries using deep neural networks
Hafiz Tayyab Rauf, M. Ikram Ullah Lali, Muhammad Attique Khan, et al.
Personal and Ubiquitous Computing (2021) Vol. 27, Iss. 3, pp. 733-750
Open Access | Times Cited: 94
An approach to forecast impact of Covid‐19 using supervised machine learning model
Senthilkumar Mohan, A John, Ahed Abugabah, et al.
Software Practice and Experience (2021) Vol. 52, Iss. 4, pp. 824-840
Open Access | Times Cited: 90
Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance
Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh, et al.
Journal of Biomedical Informatics (2021) Vol. 117, pp. 103751-103751
Open Access | Times Cited: 69
Accurate detection of Covid-19 patients based on Feature Correlated Naïve Bayes (FCNB) classification strategy
Nehal A. Mansour, Ahmed I. Saleh, Mahmoud Badawy, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 1, pp. 41-73
Open Access | Times Cited: 60
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
Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey
Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, et al.
SN Computer Science (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 51
Sensitivity Analysis by the PROMETHEE-GAIA method: Algorithms evaluation for COVID-19 prediction
Miguel Ângelo Lellis Moreira, Carlos Francısco Sımões Gomes, Marcos dos Santos, et al.
Procedia Computer Science (2022) Vol. 199, pp. 431-438
Open Access | Times Cited: 49
Diagnosing COVID-19 using artificial intelligence: a comprehensive review
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 40
On the Implementation of the Artificial Neural Network Approach for Forecasting Different Healthcare Events
Huda M. Alshanbari, Hasnain Iftikhar, Faridoon Khan, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1310-1310
Open Access | Times Cited: 27
Impact of Artificial Intelligence on COVID-19 Pandemic: A Survey of Image Processing, Tracking of Disease, Prediction of Outcomes, and Computational Medicine
Khaled H. Almotairi, Ahmad MohdAziz Hussein, Laith Abualigah, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 11-11
Open Access | Times Cited: 26
Vision-based collective motion: A locust-inspired reductionist model
David L. Krongauz, Amir Ayali, Gal A. Kaminka
PLoS Computational Biology (2024) Vol. 20, Iss. 1, pp. e1011796-e1011796
Open Access | Times Cited: 9
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