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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:

Time series modelling to forecast the confirmed and recovered cases of COVID-19
Mohsen Maleki, Mohammad Reza Mahmoudi, Darren Wraith, et al.
Travel Medicine and Infectious Disease (2020) Vol. 37, pp. 101742-101742
Open Access | Times Cited: 212

Showing 1-25 of 212 citing articles:

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: 216
Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA)
K.E. ArunKumar, Dinesh V. Kalaga, Ch. Mohan Sai Kumar, et al.
Applied Soft Computing (2021) Vol. 103, pp. 107161-107161
Open Access | Times Cited: 198
Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells
K.E. ArunKumar, Dinesh V. Kalaga, Ch. Mohan Sai Kumar, et al.
Chaos Solitons & Fractals (2021) Vol. 146, pp. 110861-110861
Open Access | Times Cited: 177
Principal component analysis to study the relations between the spread rates of COVID-19 in high risks countries
Mohammad Reza Mahmoudi, Mohammad Heydari, Sultan Noman Qasem, et al.
Alexandria Engineering Journal (2020) Vol. 60, Iss. 1, pp. 457-464
Open Access | Times Cited: 168
Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends
K.E. ArunKumar, Dinesh V. Kalaga, Ch. Mohan Sai Kumar, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 10, pp. 7585-7603
Open Access | Times Cited: 167
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
SARS-CoV-2 mediated neuroinflammation and the impact of COVID-19 in neurological disorders
Narayanappa Amruta, Wesley H. Chastain, Meshi Paz, et al.
Cytokine & Growth Factor Reviews (2021) Vol. 58, pp. 1-15
Open Access | Times Cited: 117
Fault detection and diagnosis in power transformers: a comprehensive review and classification of publications and methods
Ali Reza Abbasi
Electric Power Systems Research (2022) Vol. 209, pp. 107990-107990
Closed Access | Times Cited: 94
Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia
Ammar H. Elsheikh, Amal I. Saba, Mohamed Abd Elaziz, et al.
Process Safety and Environmental Protection (2020) Vol. 149, pp. 223-233
Open Access | Times Cited: 129
Modeling the second wave of COVID-19 infections in France and Italy via a stochastic SEIR model
Davide Faranda, Tommaso Alberti
Chaos An Interdisciplinary Journal of Nonlinear Science (2020) Vol. 30, Iss. 11
Open Access | Times Cited: 84
Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries
Mohammad Reza Mahmoudi, Dumi̇tru Baleanu, Zulkefli Mansor, et al.
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110230-110230
Open Access | Times Cited: 83
Efficient artificial intelligence forecasting models for COVID-19 outbreak in Russia and Brazil
Mohammed A. A. Al‐qaness, Amal I. Saba, Ammar H. Elsheikh, et al.
Process Safety and Environmental Protection (2020) Vol. 149, pp. 399-409
Open Access | Times Cited: 83
Assessing countries’ performances against COVID-19 via WSIDEA and machine learning algorithms
Nezir Aydın, Gökhan Yurdakul
Applied Soft Computing (2020) Vol. 97, pp. 106792-106792
Open Access | Times Cited: 74
Analysis and Prediction of COVID-19 Using SIR, SEIQR, and Machine Learning Models: Australia, Italy, and UK Cases
Iman Rahimi, Amir H. Gandomi, Panagiotis G. Asteris, et al.
Information (2021) Vol. 12, Iss. 3, pp. 109-109
Open Access | Times Cited: 71
Short-term prediction of COVID-19 spread using grey rolling model optimized by particle swarm optimization
Zeynep Ceylan
Applied Soft Computing (2021) Vol. 109, pp. 107592-107592
Open Access | Times Cited: 68
Multimodal Data Guided Spatial Feature Fusion and Grouping Strategy for E-Commerce Commodity Demand Forecasting
Weiwei Cai, Yaping Song, Zhanguo Wei
Mobile Information Systems (2021) Vol. 2021, pp. 1-14
Open Access | Times Cited: 58
Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review
Junaid Iqbal Khan, Jebran Khan, Furqan Ali, et al.
IEEE Access (2022) Vol. 10, pp. 62613-62660
Open Access | Times Cited: 53
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: 48
Using artificial intelligence technology to fight COVID-19: a review
Yong Peng, Enbin Liu, Shanbi Peng, et al.
Artificial Intelligence Review (2022) Vol. 55, Iss. 6, pp. 4941-4977
Open Access | Times Cited: 39
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: 38
CLformer: Locally grouped auto-correlation and convolutional transformer for long-term multivariate time series forecasting
Xingyu Wang, Hui Liu, Junzhao Du, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106042-106042
Closed Access | Times Cited: 26
Time series analysis and short-term forecasting of monkeypox outbreak trends in the 10 major affected countries
Tahir Munir, Maaz Khan, Salman Cheema, et al.
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 8
A Review on COVID-19 Forecasting Models
Iman Rahimi, Fang Chen, Amir H. Gandomi
Research Square (Research Square) (2020)
Open Access | Times Cited: 65
Modelling and forecasting of new cases, deaths and recover cases of COVID-19 by using Vector Autoregressive model in Pakistan
Firdos Khan, Alia Saeed, Shaukat Ali
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110189-110189
Open Access | Times Cited: 61
Pandemic coronavirus disease (Covid‐19): World effects analysis and prediction using machine‐learning techniques
Dimple Tiwari, Bhoopesh Singh Bhati, Fadi Al‐Turjman, et al.
Expert Systems (2021) Vol. 39, Iss. 3
Open Access | Times Cited: 52
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