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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:

Forecasting the epidemiological trends of COVID-19 prevalence and mortality using the advanced α-Sutte Indicator
Yongbin Wang, Chunjie Xu, Sanqiao Yao, et al.
Epidemiology and Infection (2020) Vol. 148
Open Access | Times Cited: 15

Showing 15 citing articles:

A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics
Muhammad Shoaib, Muhammad Asif Zahoor Raja, M Sabir, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 202, pp. 105973-105973
Open Access | Times Cited: 137
Incidence and prediction of cutaneous leishmaniasis cases and its related factors in an endemic area of Southeast Morocco: time series analysis
Adnane Hakem, Abdelaati El Khiat, Abdelkacem Ezzahidi, et al.
Acta Tropica (2025), pp. 107579-107579
Closed Access | Times Cited: 1
Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tianjin, China
H R Lou, Xin Wang, Ya Gao, et al.
BMC Public Health (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 23
Time Series Analysis and Forecasting of the Hand-Foot-Mouth Disease Morbidity in China Using An Advanced Exponential Smoothing State Space TBATS Model
Chongchong Yu, Chunjie Xu, Yuhong Li, et al.
Infection and Drug Resistance (2021) Vol. Volume 14, pp. 2809-2821
Open Access | Times Cited: 23
Estimating the Long-Term Epidemiological Trends and Seasonality of Hemorrhagic Fever with Renal Syndrome in China
Yuhan Xiao, Yanyan Li, Yuhong Li, et al.
Infection and Drug Resistance (2021) Vol. Volume 14, pp. 3849-3862
Open Access | Times Cited: 17
Epidemiological characteristics and prediction model construction of hemorrhagic fever with renal syndrome in Quzhou City, China, 2005–2022
Qing Gao, Shuangqing Wang, Qi Wang, et al.
Frontiers in Public Health (2024) Vol. 11
Open Access | Times Cited: 2
Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition
Yongbin Wang, Chunjie Xu, Sanqiao Yao, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 11
A Novel Matrix Profile-Guided Attention LSTM Model for Forecasting COVID-19 Cases in USA
Qian Liu, Daryl L. X. Fung, Leann Lac, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 10
Forecasting tuberculosis incidence: a review of time series and machine learning models for prediction and eradication strategies
Jamilu Yahaya Maipan-Uku, Nadire Çavuş
International Journal of Environmental Health Research (2024), pp. 1-16
Closed Access | Times Cited: 1
Are COVID-19 models blind to the social determinants of health? A systematic review protocol
Ava John‐Baptiste, Marc S. Moulin, Shehzad Ali
BMJ Open (2021) Vol. 11, Iss. 7, pp. e048995-e048995
Open Access | Times Cited: 7
Time Series based Models for Corona Data Analytics
S. Sethu Selvi, Paarth Barkur, Nikhil Agarwal, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 3
Review of Mathematical Optimization and Statistics-based Techniques for Public Health Intervention in India: Balancing Efficiency, Resources, and Policy Goals
Sarthak Goswami
International Journal of Innovative Research in Computer Science & Technology (2024) Vol. 12, Iss. 2, pp. 96-105
Open Access
COVID-19 trends across borders: Identifying correlations among countries
Jihan Muhaidat, Aiman Albatayneh
Journal of International Medical Research (2024) Vol. 52, Iss. 7
Open Access
Predicting the Welfare Cost of Premature Deaths Based on Unsafe Sanitation Risk using SutteARIMA and Comparison with Neural Network Time Series and Holt-Winters
Suwardi Annas, Ansari Saleh Ahmar, Rahmat Hidayat
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 1, pp. 153-153
Open Access
Design da Informação e Inovação: a experiência do Governo de Santa Catarina no Combate à COVID-19
Jefferson L. Velasco, Helouíse H. G. Viola, Israel A. Braglia, et al.
Blucher Design Proceedings (2021), pp. 781-796
Open Access
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