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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:

Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020
Kimberlyn Roosa, Y. Lee, Ruiyan Luo, et al.
Infectious Disease Modelling (2020) Vol. 5, pp. 256-263
Open Access | Times Cited: 687

Showing 1-25 of 687 citing articles:

Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks
Ali Narin, Ceren Kaya, Ziynet Pamuk
Pattern Analysis and Applications (2021) Vol. 24, Iss. 3, pp. 1207-1220
Open Access | Times Cited: 1305
Transmission potential and severity of COVID-19 in South Korea
Eunha Shim, Amna Tariq, Wongyeong Choi, et al.
International Journal of Infectious Diseases (2020) Vol. 93, pp. 339-344
Open Access | Times Cited: 741
Estimation of COVID-19 prevalence in Italy, Spain, and France
Zeynep Ceylan
The Science of The Total Environment (2020) Vol. 729, pp. 138817-138817
Open Access | Times Cited: 570
Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China
Benjamín Ivorra, Miriam R. Ferrández, María Pérez, et al.
Communications in Nonlinear Science and Numerical Simulation (2020) Vol. 88, pp. 105303-105303
Open Access | Times Cited: 564
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, et al.
Chaos Solitons & Fractals (2020) Vol. 135, pp. 109853-109853
Open Access | Times Cited: 474
Deep learning based detection and analysis of COVID-19 on chest X-ray images
Rachna Jain, Meenu Gupta, Soham Taneja, et al.
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1690-1700
Open Access | Times Cited: 470
Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study
Abdelhafid Zeroual, Fouzi Harrou, Abdelkader Dairi, et al.
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110121-110121
Open Access | Times Cited: 442
Forecasting COVID-19 impact on hospital bed-days, ICU-days, ventilator-days and deaths by US state in the next 4 months
Christopher J L Murray
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 423
Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis
Tanujit Chakraborty, Indrajit Ghosh
Chaos Solitons & Fractals (2020) Vol. 135, pp. 109850-109850
Open Access | Times Cited: 372
Using X-ray images and deep learning for automated detection of coronavirus disease
Khalid El Asnaoui, Youness Chawki
Journal of Biomolecular Structure and Dynamics (2020) Vol. 39, Iss. 10, pp. 3615-3626
Open Access | Times Cited: 335
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning
Elene Firmeza Ohata, Gabriel M. Bezerra, João Victor Souza das Chagas, et al.
IEEE/CAA Journal of Automatica Sinica (2020) Vol. 8, Iss. 1, pp. 239-248
Open Access | Times Cited: 244
The adverse skin reactions of health care workers using personal protective equipment for COVID-19
Kaihui Hu, Jing Fan, Xueqin Li, et al.
Medicine (2020) Vol. 99, Iss. 24, pp. e20603-e20603
Open Access | Times Cited: 233
Prediction of the COVID-19 Pandemic for the Top 15 Affected Countries: Advanced Autoregressive Integrated Moving Average (ARIMA) Model
R. K. Singh, Meenu Rani, Akshaya Srikanth Bhagavathula, et al.
JMIR Public Health and Surveillance (2020) Vol. 6, Iss. 2, pp. e19115-e19115
Open Access | Times Cited: 229
Short-term Forecasts of the COVID-19 Epidemic in Guangdong and Zhejiang, China: February 13–23, 2020
Kimberlyn Roosa, Yiseul Lee, Ruiyan Luo, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 2, pp. 596-596
Open Access | Times Cited: 223
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
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 COVID-19 corona virus pandemic based on time series data using support vector machine
Vijander Singh, Ramesh Chandra Poonia, Sandeep Kumar, et al.
Journal of Discrete Mathematical Sciences and Cryptography (2020) Vol. 23, Iss. 8, pp. 1583-1597
Closed Access | Times Cited: 193
SutteARIMA: Short-term forecasting method, a case: Covid-19 and stock market in Spain
Ansari Saleh Ahmar, Eva Boj del Val
The Science of The Total Environment (2020) Vol. 729, pp. 138883-138883
Open Access | Times Cited: 181
Statistical analysis of forecasting COVID-19 for upcoming month in Pakistan
Muhammad Yousaf Khan, Samiha Zahir, Muhammad Riaz, et al.
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109926-109926
Open Access | Times Cited: 176
Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data
Zhihua Liu, Pierre Magal, Ousmane Seydi, et al.
Mathematical Biosciences & Engineering (2020) Vol. 17, Iss. 4, pp. 3040-3051
Open Access | Times Cited: 175
Multiple Ensemble Neural Network Models with Fuzzy Response Aggregation for Predicting COVID-19 Time Series: The Case of Mexico
Patricia Melín, Julio Cesar Monica, Daniela Sánchez, et al.
Healthcare (2020) Vol. 8, Iss. 2, pp. 181-181
Open Access | Times Cited: 173
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images
Kai Gao, Jianpo Su, Zhongbiao Jiang, et al.
Medical Image Analysis (2020) Vol. 67, pp. 101836-101836
Open Access | Times Cited: 171
Characterization of the COVID-19 pandemic and the impact of uncertainties, mitigation strategies, and underreporting of cases in South Korea, Italy, and Brazil
Ruy Freitas Reis, Bárbara de Melo Quintela, Joventino de Oliveira Campos, et al.
Chaos Solitons & Fractals (2020) Vol. 136, pp. 109888-109888
Open Access | Times Cited: 159
A fractional-order model for the novel coronavirus (COVID-19) outbreak
Karthikeyan Rajagopal, Navid Hasanzadeh, Fatemeh Parastesh, et al.
Nonlinear Dynamics (2020) Vol. 101, Iss. 1, pp. 711-718
Open Access | Times Cited: 157
Forecasting the impact of the first wave of the COVID-19 pandemic on hospital demand and deaths for the USA and European Economic Area countries
Christopher J L Murray
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 146
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