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:

The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China
Daren Zhao, Huiwu Zhang, Qing Cao, et al.
PLoS ONE (2022) Vol. 17, Iss. 2, pp. e0262734-e0262734
Open Access | Times Cited: 18

Showing 18 citing articles:

Forecasting of daily new lumpy skin disease cases in Thailand at different stages of the epidemic using fuzzy logic time series, NNAR, and ARIMA methods
Veerasak Punyapornwithaya, Orapun Arjkumpa, Noppawan Buamithup, et al.
Preventive Veterinary Medicine (2023) Vol. 217, pp. 105964-105964
Closed Access | Times Cited: 15

Research on hand, foot and mouth disease incidence forecasting using hybrid model in mainland China
Daren Zhao, Huiwu Zhang, Ruihua Zhang, et al.
BMC Public Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 8

A comparative analysis of classical and machine learning methods for forecasting TB/HIV co-infection
André Abade, Lucas Faria Porto, Alessandro Rolim Scholze, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Machine Learning Prediction Model of Tuberculosis Incidence Based on Meteorological Factors and Air Pollutants
Na Tang, Maoxiang Yuan, Zhijun Chen, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 3910-3910
Open Access | Times Cited: 5

A nomogram for predicting mortality of patients initially diagnosed with primary pulmonary tuberculosis in Hunan province, China: a retrospective study
Dan Li, Siyuan Tang, Sheng Lei, et al.
Frontiers in Cellular and Infection Microbiology (2023) Vol. 13
Open Access | Times Cited: 3

Prediction of reported monthly incidence of hepatitis B in Hainan Province of China based on SARIMA-BPNN model
Kang Fang, Li Cao, Zhenwang Fu, et al.
Medicine (2023) Vol. 102, Iss. 41, pp. e35054-e35054
Open Access | Times Cited: 2

Data analysis and Forecasting of Tuberculosis and HIV co-infection: Exploring models from classical statistics to machine learning
André Abade, Lucas Faria Porto, Alessandro Rolim Scholze, et al.
Research Square (Research Square) (2024)
Open Access

Spatial and temporal analysis and forecasting of TB reported incidence in western China
Daren Zhao, Huiwu Zhang, Xuelian Wu, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access

Forecasting the Epidemic Process of HIV Infection using ARIMA and Microsoft Excel Tools
E. N. Melnikova
ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT (2024), pp. 68-75
Closed Access

A decade’s overview of artificial intelligence in diagnosing: a scoping review
Vimala Balakrishnan, Zahiriddin Rustamov, Ghayathri Ramanathan, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access

The Impacts of the COVID-19 Pandemic on the Burden of Maternal and Neonatal Disorders: A Counterfactual Modeling Based on the Global Burden of Disease Study 2021
Jing Qi, Can Chen, Siheng Zhang, et al.
Social Science & Medicine (2024) Vol. 366, pp. 117667-117667
Closed Access

Predicting the dynamics of norovirus infection using time series models
A A Kosova, В. И. Чалапа
Ural Medical Journal (2023) Vol. 22, Iss. 3, pp. 57-63
Open Access | Times Cited: 1

Modelling and Forecasting Claim Payments of Tanzania National Health Insurance Fund
Imani Kapungu, Emmanuel Evarest, Nyimvua Shaban, et al.
Tanzania Journal of Science (2023) Vol. 49, Iss. 4, pp. 911-920
Open Access | Times Cited: 1

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