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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:

Seasonality and trend prediction of scarlet fever incidence in mainland China from 2004 to 2018 using a hybrid SARIMA-NARX model
Yongbin Wang, Chunjie Xu, Zhende Wang, et al.
PeerJ (2019) Vol. 7, pp. e6165-e6165
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Prediction of global omicron pandemic using ARIMA, MLR, and Prophet models
Daren Zhao, Ruihua Zhang, Huiwu Zhang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
Prediction analysis of human brucellosis cases in Ili Kazakh Autonomous Prefecture Xinjiang China based on time series
Lu Lian, Tongxia Yang, Zhisheng Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Prediction of monthly occurrence number of scrub typhus in Ganzhou City, China, based on SARIMA and BPNN models
Renfa Huang, Kailun Pan, Qingfeng Cai, et al.
Infectious Disease Modelling (2025) Vol. 10, Iss. 2, pp. 691-701
Open Access
Temporal trends analysis of tuberculosis morbidity in mainland China from 1997 to 2025 using a new SARIMA-NARNNX hybrid model
Yongbin Wang, Chunjie Xu, Shengkui Zhang, et al.
BMJ Open (2019) Vol. 9, Iss. 7, pp. e024409-e024409
Open Access | Times Cited: 39
Forecasting the incidence of mumps in Chongqing based on a SARIMA model
Hongfang Qiu, Han Zhao, Haiyan Xiang, et al.
BMC Public Health (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 26
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
Comparison of simulation and predictive efficacy for hemorrhagic fever with renal syndrome incidence in mainland China based on five time series models
ZhenDe Wang, Chunxiao Yang, Bing Li, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 2
A hybrid SARIMA-Prophet model for predicting historical streamflow time-series of the Sobat River in South Sudan
Manzu Gerald Simon Kenyi, Kayoko Yamamoto
Deleted Journal (2024) Vol. 6, Iss. 9
Open Access | Times Cited: 2
Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis
Tingyan Luo, Jie Zhou, Jing Yang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e49400-e49400
Open Access | Times Cited: 6
<p>Estimating the Prevalence and Mortality of Coronavirus Disease 2019 (COVID-19) in the USA, the UK, Russia, and India</p>
Yongbin Wang, Chunjie Xu, Sanqiao Yao, et al.
Infection and Drug Resistance (2020) Vol. Volume 13, pp. 3335-3350
Open Access | Times Cited: 17
The research of SARIMA model for prediction of hepatitis B in mainland China
Daren Zhao, Huiwu Zhang, Qing Cao, et al.
Medicine (2022) Vol. 101, Iss. 23, pp. e29317-e29317
Open Access | Times Cited: 10
Epidemiological study of scarlet fever in Shenyang, China
Huijie Chen, Ye Chen, Baijun Sun, et al.
BMC Infectious Diseases (2019) Vol. 19, Iss. 1
Open Access | Times Cited: 16
Forecasting the incidence of acute haemorrhagic conjunctivitis in Chongqing: a time series analysis
Hongfang Qiu, Dewei Zeng, Jing Yi, et al.
Epidemiology and Infection (2020) Vol. 148
Open Access | Times Cited: 14
Epidemiological trend in scarlet fever incidence in China during the COVID-19 pandemic: A time series analysis
Yunxia Ma, Shanshan Gao, Zheng Kang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 8
Analysis and forecasting of syphilis trends in mainland China based on hybrid time series models
Zong-Chao Wang, Chunxia Yang, Sheng Zhang, et al.
Epidemiology and Infection (2024) Vol. 152
Open Access | Times Cited: 1
Use of meteorological parameters for forecasting scarlet fever morbidity in Tianjin, Northern China
Yongbin Wang, Chunjie Xu, Jingchao Ren, et al.
Environmental Science and Pollution Research (2020) Vol. 28, Iss. 6, pp. 7281-7294
Closed Access | Times Cited: 9
Estimating the tuberculosis incidence using a SARIMAX-NNARX hybrid model by integrating meteorological factors in Qinghai Province, China
Wenjuan Liang, Ailing Hu, Pan Hu, et al.
International Journal of Biometeorology (2022) Vol. 67, Iss. 1, pp. 55-65
Closed Access | Times Cited: 5
Time series analysis of rubella incidence in Chongqing, China using SARIMA and BPNN mathematical models
Qi Chen, Han Zhao, Hongfang Qiu, et al.
The Journal of Infection in Developing Countries (2022) Vol. 16, Iss. 08, pp. 1343-1350
Open Access | Times Cited: 3
Comprehensive Vaccine-Preventable Disease Surveillance in the Western Pacific Region: A Literature Review on Integration of Surveillance Functions, 2000–2021
Morgane Donadel, Heather M. Scobie, Roberta Pastore, et al.
Global Health Science and Practice (2022) Vol. 10, Iss. 5, pp. e2200017-e2200017
Open Access | Times Cited: 3
Time series models in prediction of severe fever with thrombocytopenia syndrome cases in Shandong province, China
Zixu Wang, Wenyi Zhang, Ting Wu, et al.
Infectious Disease Modelling (2024) Vol. 9, Iss. 1, pp. 224-233
Open Access
From Data to Diagnosis: Machine Learning Revolutionizes Epidemiological Predictions
Abdul Aziz Abdul Rahman, Gowri Rajasekaran, R. Rathipriya, et al.
Information (2024) Vol. 15, Iss. 11, pp. 719-719
Open Access
The PERBANDINGAN METODE ARIMA DAN SARIMA DALAM PERAMALAN PENJUALAN KELAPA
SARA SEPTIANA ARUAN
JAMI Jurnal Ahli Muda Indonesia (2021) Vol. 2, Iss. 2, pp. 79-90
Open Access | Times Cited: 3
Predicting COVID-19 Cases in South Korea Using Stringency and Niño Sea Surface Temperature Indices
Imee V. Necesito, John Mark Velasco, Jaewon Jung, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 1
Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis (Preprint)
Tingyan Luo, Jie Zhou, Jing Yang, et al.
(2023)
Open Access
ANALISA DERET WAKTU CURAH HUJAN DAN KARAKTERISTIK IKLIM DI KOTA MAJALENGKA
Fransiska Yustiana, Najib Ibrahim
Jurnal Teknik Sipil (2023) Vol. 12, Iss. 2, pp. 156-163
Open Access
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