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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:

Multiple-Input Deep Convolutional Neural Network Model for COVID-19 Forecasting in China
Chiou‐Jye Huang, Yung‐Hsiang Chen, Yuxuan Ma, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Time series forecasting of COVID-19 transmission in Canada using LSTM networks
Vinay Kumar Reddy Chimmula, Lei Zhang
Chaos Solitons & Fractals (2020) Vol. 135, pp. 109864-109864
Open Access | Times Cited: 973
Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM
Farah Shahid, Aneela Zameer, Muhammad Muneeb
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110212-110212
Open Access | Times Cited: 629
Mapping the landscape of Artificial Intelligence applications against COVID-19
Joseph Aylett-Bullock, Alexandra Sasha Luccioni, Katherine Hoffmann Pham, et al.
Journal of Artificial Intelligence Research (2020) Vol. 69, pp. 807-845
Open Access | Times Cited: 469
Machine Learning and Deep Learning Applications-A Vision
Neha Sharma, Reecha Sharma, Neeru Jindal
Global Transitions Proceedings (2021) Vol. 2, Iss. 1, pp. 24-28
Open Access | Times Cited: 290
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
Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review
H. Swapnarekha, H. S. Behera, Janmenjoy Nayak, et al.
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109947-109947
Open Access | Times Cited: 190
Artificial Intelligence in Pharmaceutical and Healthcare Research
Subrat Kumar Bhattamisra, Priyanka Banerjee, Pratibha Gupta, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 10-10
Open Access | Times Cited: 115
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: 93
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Chaos Solitons & Fractals (2020) Vol. 141, pp. 110337-110337
Open Access | Times Cited: 109
Artificial Intelligence in the Fight Against COVID-19: Scoping Review
Alaa Abd‐Alrazaq, Mohannad Alajlani, Dari Alhuwail, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 12, pp. e20756-e20756
Open Access | Times Cited: 107
The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges
Amir Ahmad, Sunita Garhwal, Santosh Kumar Ray, et al.
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 4, pp. 2645-2653
Open Access | Times Cited: 106
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
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and Their Interactions
Ankit Ramchandani, Chao Fan, Ali Mostafavi
IEEE Access (2020) Vol. 8, pp. 159915-159930
Open Access | Times Cited: 86
Recurrent Neural Network and Reinforcement Learning Model for COVID-19 Prediction
Rajan Kumar, Firoz Khan, Sadia Din, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 68
The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype
Musa Abdulkareem, Steffen E. Petersen
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 62
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
Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining
Ignacio Rodríguez‐Rodríguez, José‐Víctor Rodríguez, Niloofar Shirvanizadeh, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 16, pp. 8578-8578
Open Access | Times Cited: 56
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Haseeb Hassan, Zhaoyu Ren, Chengmin Zhou, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 218, pp. 106731-106731
Open Access | Times Cited: 40
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
Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection
Shwet Ketu, Pramod Kumar Mishra
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1492-1512
Open Access | Times Cited: 59
Convolutional neural networks and temporal CNNs for COVID-19 forecasting in France
Lucas Mohimont, Amine Chemchem, François Alin, et al.
Applied Intelligence (2021) Vol. 51, Iss. 12, pp. 8784-8809
Open Access | Times Cited: 46
Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review
Jelena Musulin, Sandi Baressi Šegota, Daniel Štifanić, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 8, pp. 4287-4287
Open Access | Times Cited: 45
The efficacy of deep learning based LSTM model in forecasting the outbreak of contagious diseases
Nurul Absar, Nazim Uddin, Mayeen Uddin Khandaker, et al.
Infectious Disease Modelling (2021) Vol. 7, Iss. 1, pp. 170-183
Open Access | Times Cited: 45
COVID-19 prediction using LSTM algorithm: GCC case study
Kareem Kamal A. Ghany, Hossam M. Zawbaa, Heba M. Sabri
Informatics in Medicine Unlocked (2021) Vol. 23, pp. 100566-100566
Open Access | Times Cited: 43
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
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