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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:

Time series model for forecasting the number of new admission inpatients
Lingling Zhou, Ping Zhao, Dongdong Wu, et al.
BMC Medical Informatics and Decision Making (2018) Vol. 18, Iss. 1
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

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: 551
Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan
Moiz Qureshi, Khushboo Ishaq, Muhammad Daniyal, et al.
BMC Public Health (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Forecasting Indonesia Exports using a Hybrid Model ARIMA-LSTM
Emmanuel Dave, Albert Leonardo, Marethia Jeanice, et al.
Procedia Computer Science (2021) Vol. 179, pp. 480-487
Open Access | Times Cited: 88
Forecast of the trend in incidence of acute hemorrhagic conjunctivitis in China from 2011–2019 using the Seasonal Autoregressive Integrated Moving Average (SARIMA) and Exponential Smoothing (ETS) models
Huan Liu, Chenxi Li, Yingqi Shao, et al.
Journal of Infection and Public Health (2020) Vol. 13, Iss. 2, pp. 287-294
Open Access | Times Cited: 73
<p>Forecasting the seasonality and trend of pulmonary tuberculosis in Jiangsu Province of China using advanced statistical time-series analyses</p>
Qiao Liu, Zhongqi Li, Ye Ji, et al.
Infection and Drug Resistance (2019) Vol. Volume 12, pp. 2311-2322
Open Access | Times Cited: 75
Forecasting hourly emergency department arrival using time series analysis
Avishek Choudhury, Estefania Urena
British Journal of Healthcare Management (2020) Vol. 26, Iss. 1, pp. 34-43
Open Access | Times Cited: 44
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning
Ruobin Gao, Wen Cheng, Ponnuthurai Nagaratnam Suganthan, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 10, pp. 4966-4975
Closed Access | Times Cited: 24
Time series modeling of pertussis incidence in China from 2004 to 2018 with a novel wavelet based SARIMA-NAR hybrid model
Yongbin Wang, Chunjie Xu, Zhende Wang, et al.
PLoS ONE (2018) Vol. 13, Iss. 12, pp. e0208404-e0208404
Open Access | Times Cited: 42
Development and evaluation of a deep learning approach for modeling seasonality and trends in hand-foot-mouth disease incidence in mainland China
Yongbin Wang, Chunjie Xu, Shengkui Zhang, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 41
Time series analysis of human brucellosis in mainland China by using Elman and Jordan recurrent neural networks
Wei Wu, Shu-Yi An, Peng Guan, et al.
BMC Infectious Diseases (2019) Vol. 19, Iss. 1
Open Access | Times Cited: 40
Computer Aided System of Time Series Analysis Methods for Forecasting the Epidemics Outbreaks
Yulia Polyvianna, Dmytro Chumachenko, Tetyana Chumachenko
2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM) (2019), pp. 1-4
Closed Access | Times Cited: 38
Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure
Hang Qiu, Lin Luo, Ziqi Su, et al.
BMC Medical Informatics and Decision Making (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 38
Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach
Jalmari Tuominen, Francesco Lomio, Niku Oksala, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 19
Application of ARIMA, and hybrid ARIMA Models in predicting and forecasting tuberculosis incidences among children in Homa Bay and Turkana Counties, Kenya
Stephen Siamba, Argwings Otieno, Julius Koech
PLOS Digital Health (2023) Vol. 2, Iss. 2, pp. e0000084-e0000084
Open Access | Times Cited: 11
Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery Intensity
Mariusz Kmiecik, Aleksandra Wierzbicka
Smart Cities (2024) Vol. 7, Iss. 1, pp. 541-565
Open Access | Times Cited: 4
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
Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database
Victor Olsavszky, Mihnea Dosius, Cristian Vlădescu, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 14, pp. 4979-4979
Open Access | Times Cited: 30
Towards cleaner air in Siliguri: A comprehensive study of PM2.5 and PM10 through advance computational forecasting models for effective environmental interventions
Arghadeep Bose, Indrajit Roy Chowdhury
Atmospheric Pollution Research (2023) Vol. 15, Iss. 2, pp. 101976-101976
Closed Access | Times Cited: 9
Improved Soil Moisture and Electrical Conductivity Prediction of Citrus Orchards Based on IoT Using Deep Bidirectional LSTM
Peng Gao, Jiaxing Xie, Mingxin Yang, et al.
Agriculture (2021) Vol. 11, Iss. 7, pp. 635-635
Open Access | Times Cited: 23
Forecasting hand-foot-and-mouth disease cases using wavelet-based SARIMA–NNAR hybrid model
Gongchao Yu, Huifen Feng, Shuang Feng, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0246673-e0246673
Open Access | Times Cited: 22
Forecasting COVID-19 Hospital Census: A Multivariate Time-Series Model Based on Local Infection Incidence
Hieu Nguyen, Philip Turk, Andrew McWilliams
JMIR Public Health and Surveillance (2021) Vol. 7, Iss. 8, pp. e28195-e28195
Open Access | Times Cited: 22
A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding
Francisco Caldas, Cláudia Soares
Communications in computer and information science (2023), pp. 71-88
Open Access | Times Cited: 8
Predictive analysis of the number of human brucellosis cases in Xinjiang, China
Yanling Zheng, Liping Zhang, Chunxia Wang, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 20
Decision Support Tool for Dynamic Inventory Management using Machine Learning, Time Series and Combinatorial Optimization
Khalil Namir, Hassan Labriji, El Habib Benlahmar
Procedia Computer Science (2022) Vol. 198, pp. 423-428
Open Access | Times Cited: 13
Application of exponential smoothing method and SARIMA model in predicting the number of admissions in a third-class hospital in Zhejiang Province
Wanjun Yang, Aonan Su, Liping Ding
BMC Public Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
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