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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:

Comparative study of machine learning methods for COVID-19 transmission forecasting
Abdelkader Dairi, Fouzi Harrou, Abdelhafid Zeroual, et al.
Journal of Biomedical Informatics (2021) Vol. 118, pp. 103791-103791
Open Access | Times Cited: 142

Showing 1-25 of 142 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
Forecasting COVID-19 new cases using deep learning methods
Lu Xu, Rishikesh Magar, Amir Barati Farimani
Computers in Biology and Medicine (2022) Vol. 144, pp. 105342-105342
Open Access | Times Cited: 74
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
Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities
Stephanie Baker, Wei Xiang
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 2, pp. 1261-1293
Open Access | Times Cited: 68
Temporal deep learning architecture for prediction of COVID-19 cases in India
Hanuman Verma, Saurav Mandal, Akshansh Gupta
Expert Systems with Applications (2022) Vol. 195, pp. 116611-116611
Open Access | Times Cited: 54
Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach
Lu‐Yu Zhou, Chun Zhao, Ning Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106157-106157
Open Access | Times Cited: 36
Forecasting COVID-19 Pandemic using Prophet, LSTM, hybrid GRU-LSTM, CNN-LSTM, Bi-LSTM and Stacked-LSTM for India
Satya Prakash, Anand Singh Jalal, Pooja Pathak
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2023)
Closed Access | Times Cited: 26
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
Volatility spillover between oil prices and main exchange rates: Evidence from a DCC-GARCH-connectedness approach
Leïla Ben Salem, Montassar Zayati, Ridha Nouira, et al.
Resources Policy (2024) Vol. 91, pp. 104880-104880
Open Access | Times Cited: 8
Machine Learning in Healthcare Analytics: A State-of-the-Art Review
Surajit Das, Samaleswari Pr. Nayak, Biswajit Sahoo, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 8
Enhanced prediction of anisotropic deformation behavior using machine learning with data augmentation
Sujeong Byun, Jinyeong Yu, Seho Cheon, et al.
Journal of Magnesium and Alloys (2024) Vol. 12, Iss. 1, pp. 186-196
Open Access | Times Cited: 7
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
Muhammad Usman Tariq, Shuhaida Ismail
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0294289-e0294289
Open Access | Times Cited: 7
COVID-19 Pandemic Forecasting Using CNN-LSTM: A Hybrid Approach
Zuhaira Muhammad Zain, Nazik Alturki
Journal of Control Science and Engineering (2021) Vol. 2021, pp. 1-23
Open Access | Times Cited: 52
Deep learning for Covid-19 forecasting: State-of-the-art review.
Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, et al.
Neurocomputing (2022) Vol. 511, pp. 142-154
Open Access | Times Cited: 36
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
Comparative analysis of deep learning and machine learning techniques for forecasting new malaria cases in Cameroon’s Adamaoua region
Esaie Naroum, Ebenezer Maka Maka, Hamadjam Abboubakar, et al.
Intelligence-Based Medicine (2025), pp. 100220-100220
Open Access
Exploring Efficient Model for Agricultural Commodity Price Prediction Using Data Analytics
Md Aminul Islam, Anindya Nag, Kashinath Basu, et al.
Lecture notes in networks and systems (2025), pp. 321-339
Closed Access
FCMCPS-COVID: AI propelled fog–cloud inspired scalable medical cyber-physical system, specific to coronavirus disease
Prabal Verma, Aditya Gupta, Mohit Kumar, et al.
Internet of Things (2023) Vol. 23, pp. 100828-100828
Open Access | Times Cited: 13
Nesting the SIRV model with NAR, LSTM and statistical methods to fit and predict COVID-19 epidemic trend in Africa
Xudong Liu, Wei Wang, Yi Yang, et al.
BMC Public Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 12
Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current Status and Challenges
Jasmin Hassan, Safiya Mohammed Saeed, Lipika Deka, et al.
Pharmaceutics (2024) Vol. 16, Iss. 2, pp. 260-260
Open Access | Times Cited: 4
Do ChatGPT and Gemini Provide Appropriate Recommendations for Pediatric Orthopaedic Conditions?
Sean Pirkle, JaeWon Yang, Todd J. Blumberg
Journal of Pediatric Orthopaedics (2024)
Closed Access | Times Cited: 4
Forecasting COVID-19 Epidemic Trends by Combining a Neural Network with Rt Estimation
Pietro Cinaglia, Mario Cannataro
Entropy (2022) Vol. 24, Iss. 7, pp. 929-929
Open Access | Times Cited: 20
Stacked deep learning approach for efficient SARS-CoV-2 detection in blood samples
Wu Wang, Fouzi Harrou, Abdelkader Dairi, et al.
Artificial Intelligence in Medicine (2024) Vol. 148, pp. 102767-102767
Closed Access | Times Cited: 3
StackGridCov: a robust stacking ensemble learning-based model integrated with GridSearchCV hyperparameter tuning technique for mutation prediction of COVID-19 virus
Mehmet Burukanlı, Nejat Yumuşak
Neural Computing and Applications (2024) Vol. 36, Iss. 35, pp. 22379-22401
Closed Access | Times Cited: 3
Predicting hospital emergency department visits with deep learning approaches
Xinxing Zhao, Joel Weijia Lai, Andrew Fu Wah Ho, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 1051-1065
Closed Access | Times Cited: 17
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