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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.

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Showing 1-25 of 194 citing articles:

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
A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models
Yasminah Alali, Fouzi Harrou, Ying Sun
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 68
An Overview of Forecast Analysis with ARIMA Models during the COVID-19 Pandemic: Methodology and Case Study in Brazil
Raydonal Ospina, João A. M. Gondim, Víctor Leiva, et al.
Mathematics (2023) Vol. 11, Iss. 14, pp. 3069-3069
Open Access | Times Cited: 56
Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review
Soudeh Ghafouri‐Fard, Hossein Mohammad‐Rahimi, Parisa Motie, et al.
Heliyon (2021) Vol. 7, Iss. 10, pp. e08143-e08143
Open Access | Times Cited: 59
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
Computational Machine Learning Approach for Flood Susceptibility Assessment Integrated with Remote Sensing and GIS Techniques from Jeddah, Saudi Arabia
Ahmed M. Al‐Areeq, Sani I. Abba, Mohamed A. Yassin, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5515-5515
Open Access | Times Cited: 41
A predictive analytics framework for sensor data using time series and deep learning techniques
Hend A. Selmy, Hoda K. Mohamed, Walaa Medhat
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 6119-6132
Open Access | Times Cited: 12
AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods
Muhammad Usman Tariq, Shuhaida Ismail
Osong Public Health and Research Perspectives (2024) Vol. 15, Iss. 2, pp. 115-136
Open Access | Times Cited: 12
A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning
Weiqiu Jin, Shuqing Dong, Chengqing Yu, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105560-105560
Open Access | Times Cited: 35
An effective dimensionality reduction approach for short-term load forecasting
Yang Yang, Zijin Wang, Yuchao Gao, et al.
Electric Power Systems Research (2022) Vol. 210, pp. 108150-108150
Closed Access | Times Cited: 35
Multi-Regional Modeling of Cumulative COVID-19 Cases Integrated with Environmental Forest Knowledge Estimation: A Deep Learning Ensemble Approach
Abdelgader Alamrouni, Fidan Aslanova, Sagiru Mati, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 2, pp. 738-738
Open Access | Times Cited: 31
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
Forecasting COVID-19 Case Trends Using SARIMA Models during the Third Wave of COVID-19 in Malaysia
Cia Vei Tan, Sarbhan Singh, Chee Herng Lai, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 3, pp. 1504-1504
Open Access | Times Cited: 29
ARIMA model for predicting chronic kidney disease and estimating its economic burden in China
Yining Jian, Di Zhu, Dongnan Zhou, et al.
BMC Public Health (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 27
MAP-FCRNN: Multi-step ahead prediction model using forecasting correction and RNN model with memory functions
Rongtao Zhang, Xueling Ma, Weiping Ding, et al.
Information Sciences (2023) Vol. 646, pp. 119382-119382
Closed Access | Times Cited: 15
LSTM algorithm optimization for COVID-19 prediction model
Irwan Sembiring, Sri Ngudi Wahyuni, Eko Sediyono
Heliyon (2024) Vol. 10, Iss. 4, pp. e26158-e26158
Open Access | Times Cited: 6
Trajectories tracking of maternal and neonatal health in eastern China from 2010 to 2021: A multicentre cross-sectional study
Hui Zhu, Jie Cai, Hongyi Liu, et al.
Journal of Global Health (2024) Vol. 14
Open Access | Times Cited: 6
Empowering Sustainability: A Consumer-Centric Analysis Based on Advanced Electricity Consumption Predictions
Hafize Nurgül DURMUŞ ŞENYAPAR, Ahmet Aksöz
Sustainability (2024) Vol. 16, Iss. 7, pp. 2958-2958
Open Access | Times Cited: 6
A novel grey seasonal model with time power for energy prediction
Weijie Zhou, Jiaxin Chang, H Jiang, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125356-125356
Closed Access | Times Cited: 6
Forecasting the extreme impact of Covid-19 on airline and petroleum stocks: a comparison of alternative time-series models
Mushtaq Hussain Khan, Navid Feroze, Junaid Ahmed, et al.
Journal of Modelling in Management (2025)
Closed Access
A Smart and Agile Dry Port-Seaport Logistic Network Considering Industry 5.0: A Multi-stage Data-driven Approach
Shabnam Rekabi, Zeinab Sazvar
Socio-Economic Planning Sciences (2025), pp. 102141-102141
Closed Access
Machine Learning Techniques and Multi-objective Programming to Select the Best Suppliers and Determine the Orders
Asma ul Husna, Saman Hassanzadeh Amin, Ahmad Ghasempoor
Machine Learning with Applications (2025), pp. 100623-100623
Open Access
An Investigation of the Impact of Anti-Epidemic Measures and Non-Pharmaceutical Interventions on Mitigating the Spread of the COVID-19 Pandemic
Riccardo Manzini, Ilaria Battarra, Giacomo Lupi, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1115-1115
Open Access
A decoupled network with variable graph convolution and temporal external attention for long-term multivariate time series forecasting
Yepeng Liu, Zhigen Huang, Fan Zhang, et al.
Expert Systems with Applications (2025) Vol. 271, pp. 126584-126584
Closed Access
Forecasting Dengue Incidences in Bangladesh: A Univariate Time Series Approach
Shahidul M. Islam, Shaikh Masrick Hasan, Anika Tasnim Islam, et al.
Lecture notes in electrical engineering (2025), pp. 385-406
Closed Access
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