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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:

Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions
Zifeng Yang, Zhiqi Zeng, Ke Wang, et al.
Journal of Thoracic Disease (2020) Vol. 12, Iss. 3, pp. 165-174
Open Access | Times Cited: 1421

Showing 1-25 of 1421 citing articles:

A SIR model assumption for the spread of COVID-19 in different communities
Ian A. Cooper, Argha Mondal, Chris G. Antonopoulos
Chaos Solitons & Fractals (2020) Vol. 139, pp. 110057-110057
Open Access | Times Cited: 706
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: 619
COVID-19: A Review on the Novel Coronavirus Disease Evolution, Transmission, Detection, Control and Prevention
Anshika Sharma, Isra Ahmad Farouk, Sunil K. Lal
Viruses (2021) Vol. 13, Iss. 2, pp. 202-202
Open Access | Times Cited: 599
Corona Virus (COVID-19) “Infodemic” and Emerging Issues through a Data Lens: The Case of China
Jinling Hua, Rajib Shaw
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 7, pp. 2309-2309
Open Access | Times Cited: 572
Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China
Jiangtao Liu, Ji Zhou, Jinxi Yao, et al.
The Science of The Total Environment (2020) Vol. 726, pp. 138513-138513
Open Access | Times Cited: 562
Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 705-871
Open Access | Times Cited: 545
Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions
Κωνσταντίνος Νικολόπουλος, Sushil Punia, Andreas Schäfers, et al.
European Journal of Operational Research (2020) Vol. 290, Iss. 1, pp. 99-115
Open Access | Times Cited: 444
Efficacy and safety of Lianhuaqingwen capsules, a repurposed Chinese herb, in patients with coronavirus disease 2019: A multicenter, prospective, randomized controlled trial
Ke Hu, Wei‐jie Guan, Ying Bi, et al.
Phytomedicine (2020) Vol. 85, pp. 153242-153242
Open Access | Times Cited: 404
A machine learning forecasting model for COVID-19 pandemic in India
R. Sujath, Jyotir Moy Chatterjee, Aboul Ella Hassanien
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 7, pp. 959-972
Open Access | Times Cited: 345
How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic
Nicola Luigi Bragazzi, Haijiang Dai, Giovanni Damiani, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 9, pp. 3176-3176
Open Access | Times Cited: 342
Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics
Peipei Wang, Xinqi Zheng, Jiayang Li, et al.
Chaos Solitons & Fractals (2020) Vol. 139, pp. 110058-110058
Open Access | Times Cited: 318
Predicting COVID-19 in China Using Hybrid AI Model
Nanning Zheng, Shaoyi Du, Jianji Wang, et al.
IEEE Transactions on Cybernetics (2020) Vol. 50, Iss. 7, pp. 2891-2904
Closed Access | Times Cited: 301
Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset
L. J. Muhammad, Ebrahem A. Algehyne, Sani Sharif Usman, et al.
SN Computer Science (2020) Vol. 2, Iss. 1
Open Access | Times Cited: 274
Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects
O. S. Albahri, A. A. Zaidan, A. S. Albahri, et al.
Journal of Infection and Public Health (2020) Vol. 13, Iss. 10, pp. 1381-1396
Open Access | Times Cited: 264
Utilization of machine-learning models to accurately predict the risk for critical COVID-19
Dan Assaf, Ya’ara Gutman, Yair Neuman, et al.
Internal and Emergency Medicine (2020) Vol. 15, Iss. 8, pp. 1435-1443
Open Access | Times Cited: 248
A COVID-19 epidemic model with latency period
Zihe Liu, Pierre Magal, Ousmane Seydi, et al.
Infectious Disease Modelling (2020) Vol. 5, pp. 323-337
Open Access | Times Cited: 245
Evolving Epidemiology and Impact of Non-pharmaceutical Interventions on the Outbreak of Coronavirus Disease 2019 in Wuhan, China
Chaolong Wang, Li Liu, Xingjie Hao, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 234
COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
Gergő Pintér, Imre Felde, Amir Mosavi, et al.
Mathematics (2020) Vol. 8, Iss. 6, pp. 890-890
Open Access | Times Cited: 229
Extended SIR Prediction of the Epidemics Trend of COVID-19 in Italy and Compared With Hunan, China
Wangping Jia, Ke Han, Yang Song, et al.
Frontiers in Medicine (2020) Vol. 7
Open Access | Times Cited: 208
Prediction of the COVID-19 spread in African countries and implications for prevention and control: A case study in South Africa, Egypt, Algeria, Nigeria, Senegal and Kenya
Zebin Zhao, Xin Li, Feng Liu, et al.
The Science of The Total Environment (2020) Vol. 729, pp. 138959-138959
Open Access | Times Cited: 199
Effective Risk Communication for Public Health Emergency: Reflection on the COVID-19 (2019-nCoV) Outbreak in Wuhan, China
Liwei Zhang, Huijie Li, Kelin Chen
Healthcare (2020) Vol. 8, Iss. 1, pp. 64-64
Open Access | Times Cited: 198
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
Human mobility trends during the early stage of the COVID-19 pandemic in the United States
Minha Lee, Jun Zhao, Qianqian Sun, et al.
PLoS ONE (2020) Vol. 15, Iss. 11, pp. e0241468-e0241468
Open Access | Times Cited: 189
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: 189
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