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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 Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, et al.
Chaos Solitons & Fractals (2020) Vol. 139, pp. 110027-110027
Open Access | Times Cited: 127

Showing 1-25 of 127 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: 195
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
Muzammil Khan, Muhammad Taqi Mehran, Zeeshan Haq, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115695-115695
Open Access | Times Cited: 164
A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study
Jingwei Too, Seyedali Mirjalili
Knowledge-Based Systems (2020) Vol. 212, pp. 106553-106553
Closed Access | Times Cited: 154
A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting
Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, et al.
Energy (2020) Vol. 216, pp. 119174-119174
Closed Access | Times Cited: 154
Deep learning via LSTM models for COVID-19 infection forecasting in India
Rohitash Chandra, Ayush Jain, Divyanshu Chauhan
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262708-e0262708
Open Access | Times Cited: 147
Institutions and the uneven geography of the first wave of the COVID‐19 pandemic
Andrés Rodríguez‐Pose, Chiara Burlina
Journal of Regional Science (2021) Vol. 61, Iss. 4, pp. 728-752
Open Access | Times Cited: 113
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: 91
Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach
Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Matheus Henrique Dal Molin Ribeiro, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 143, pp. 108504-108504
Closed Access | Times Cited: 72
A new crude oil price forecasting model based on variational mode decomposition
Yusheng Huang, Yong Deng
Knowledge-Based Systems (2020) Vol. 213, pp. 106669-106669
Closed Access | Times Cited: 129
Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic
Soheyl Khalilpourazari, Hossein Hashemi Doulabi, Aybike Özyüksel Çiftçioğlu, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114920-114920
Open Access | Times Cited: 99
Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam
Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, et al.
Electric Power Systems Research (2021) Vol. 202, pp. 107584-107584
Closed Access | Times Cited: 85
Carbon price forecasting system based on error correction and divide-conquer strategies
Xinsong Niu, Jianzhou Wang, Lifang Zhang
Applied Soft Computing (2021) Vol. 118, pp. 107935-107935
Closed Access | Times Cited: 80
Electricity Price Forecasting Based on Self-Adaptive Decomposition and Heterogeneous Ensemble Learning
Matheus Henrique Dal Molin Ribeiro, Stéfano Frizzo Stefenon, José Donizetti de Lima, et al.
Energies (2020) Vol. 13, Iss. 19, pp. 5190-5190
Open Access | Times Cited: 75
Random-Forest-Bagging Broad Learning System With Applications for COVID-19 Pandemic
Choujun Zhan, Yufan Zheng, Haijun Zhang, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 21, pp. 15906-15918
Open Access | Times Cited: 65
Machine learning techniques to detect and forecast the daily total COVID‐19 infected and deaths cases under different lockdown types
Tanzila Saba, Ibrahim Abunadi, Mirza Naveed Shahzad, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 7, pp. 1462-1474
Open Access | Times Cited: 60
TLCoV- An automated Covid-19 screening model using Transfer Learning from chest X-ray images
Ayan Kumar Das, Sidra Kalam, Chiranjeev Kumar, et al.
Chaos Solitons & Fractals (2021) Vol. 144, pp. 110713-110713
Open Access | Times Cited: 56
Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models
Nemesio Fava Sopelsa Neto, Stéfano Frizzo Stefenon, Luiz Henrique Meyer, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6121-6121
Open Access | Times Cited: 54
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
Photovoltaic power forecasting using wavelet Neuro-Fuzzy for active solar trackers
Stéfano Frizzo Stefenon, Christopher Kasburg, Roberto Zanetti Freire, et al.
Journal of Intelligent & Fuzzy Systems (2020) Vol. 40, Iss. 1, pp. 1083-1096
Closed Access | Times Cited: 55
Analyzing the impact of the media campaign and rapid testing for COVID-19 as an optimal control problem in East Java, Indonesia
Dipo Aldila
Chaos Solitons & Fractals (2020) Vol. 141, pp. 110364-110364
Open Access | Times Cited: 51
Ensemble forecasting for product futures prices using variational mode decomposition and artificial neural networks
Weiping Liu, Chengzhu Wang, Yonggang Li, et al.
Chaos Solitons & Fractals (2021) Vol. 146, pp. 110822-110822
Closed Access | Times Cited: 49
Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification
Bruno Barros, Paulo Lacerda, Célio Albuquerque, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5486-5486
Open Access | Times Cited: 47
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
Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview
Ammar H. Elsheikh, Amal I. Saba, Hitesh Panchal, et al.
Healthcare (2021) Vol. 9, Iss. 12, pp. 1614-1614
Open Access | Times Cited: 45
Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic
Rohitash Chandra, Yixuan He
PLoS ONE (2021) Vol. 16, Iss. 7, pp. e0253217-e0253217
Open Access | Times Cited: 43
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