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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 COVID-19 Case Trends Using SARIMA Models during the Third Wave of COVID-19 in Malaysia
Cia Vei Tan, Sarbhan Singh, Chee Herng Lai, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 3, pp. 1504-1504
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A Forecasting Prognosis of the Monkeypox Outbreak Based on a Comprehensive Statistical and Regression Analysis
Farhana Yasmin, Md. Mehedi Hassan, Sadika Zaman, et al.
Computation (2022) Vol. 10, Iss. 10, pp. 177-177
Open Access | Times Cited: 20
Predicting the Spread of SARS-CoV-2 in Italian Regions: The Calabria Case Study, February 2020–March 2022
Francesco Branda, Ludovico Abenavoli, Massimo Pierini, et al.
Diseases (2022) Vol. 10, Iss. 3, pp. 38-38
Open Access | Times Cited: 11
SARIMA Model Forecasting Performance of the COVID-19 Daily Statistics in Thailand during the Omicron Variant Epidemic
Khanita Duangchaemkarn, Waraporn Boonchieng, Phongtape Wiwatanadate, et al.
Healthcare (2022) Vol. 10, Iss. 7, pp. 1310-1310
Open Access | Times Cited: 9
Online short-term ship response prediction with dynamic buffer window using transient free switching filter
Hamed Majidian, Hossein Enshaei, Damon Howe
Ocean Engineering (2024) Vol. 294, pp. 116701-116701
Open Access | Times Cited: 1
Analysis and forecasting of syphilis trends in mainland China based on hybrid time series models
Zhen D. Wang, Chunxia Yang, Sheng Zhang, et al.
Epidemiology and Infection (2024) Vol. 152
Open Access | Times Cited: 1
Forecasting hospital outpatient volume using an optimized medical two-stage hybrid grey model
Youyang Ren, Yuhong Wang, Lin Xia, et al.
Grey Systems Theory and Application (2024) Vol. 14, Iss. 4, pp. 671-707
Closed Access | Times Cited: 1
Estimating the Temporal Epidemiological Trends of Tuberculosis Incidence by Using an Advanced Theta Method
Yongbin Wang, Bingjie Zhang, Chenlu Xue, et al.
American Journal of Tropical Medicine and Hygiene (2024) Vol. 111, Iss. 2, pp. 259-266
Closed Access | Times Cited: 1
Comparison of Parametric and Nonparametric Forecasting Methods for Daily COVID-19 Cases in Malaysia
I Made Artha Agastya, Afrig Aminuddin
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 4, pp. 2394-2394
Open Access | Times Cited: 2
Comparative Evaluation of the Multilayer Perceptron Approach with Conventional ARIMA in Modeling and Prediction of COVID-19 Daily Death Cases
Moiz Qureshi, Muhammad Daniyal, Kassim Tawiah
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 4
Rainfall Prediction using SARIMA and OpenAI
Surabhi Byju
(2024), pp. 519-523
Closed Access
A dynamic ensemble approach based on trend analysis to COVID-19 incidence forecast
Jair Paulino de Sales, Paulo S. G. de Mattos Neto, Paulo Renato Alves Firmino
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106435-106435
Closed Access
Forecasting and Analyzing Influenza Activity in Hebei Province, China, Using a CNN-LSTM Hybrid Model
Guofan Li, Yan Li, Guangyue Han, et al.
Research Square (Research Square) (2024)
Open Access
Long-term trend prediction of pandemic combining the compartmental and deep learning models
Wanghu Chen, Heng Luo, Jing Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Nonlinear time series analysis of state-wise COVID-19 in Malaysia using wavelet and persistent homology
Piau Phang, Carey Yu-Fan Ling, Siaw-Hong Liew, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Theta models for daily pandemic data
Maria Acim, Mehdi Zahid, Adil Ez-Zetouni
Boletim da Sociedade Paranaense de Matemática (2024) Vol. 42, pp. 1-8
Open Access
New Techniques to Perform Cross-Validation for Time Series Models
A. Vamsikrishna, E.V. Gijo
Operations Research Forum (2024) Vol. 5, Iss. 2
Closed Access
Embracing the power of ensemble forecasting: A novel hybrid approach for advanced predictive modeling
Isha Malhotra, Nidhi Goel
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103954-103954
Closed Access
Time series forecasting of the COVID-19 pandemic: a critical assessment in retrospect
Murat Güngör
Alphanumeric Journal (2023) Vol. 11, Iss. 1, pp. 85-100
Open Access | Times Cited: 1
A Novel Dairy Supply Chain Portal for Prediction of Milk Requirement
Paras Yogesh Mehta, Yash Rajesh Saliya, Dhruv Lalit Jain, et al.
(2023), pp. 1594-1600
Closed Access | Times Cited: 1
Enhancing COVID-19 forecasting through deep learning techniques and fine-tuning
A. Lopez, Rodrigo Martı́nez-Béjar, Kusrini Kusrini, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 14, Iss. 1, pp. 934-934
Open Access | Times Cited: 1
Application of Autoregressive Moving Average Model in the Prediction of COVID-19 of China
Xiuling Li, Li Xi, Wang Wen, et al.
Asian Journal of Probability and Statistics (2022), pp. 150-160
Open Access | Times Cited: 2
The long-run analysis of COVID-19 dynamic using random evolution, peak detection and time series
Vaghawan Prasad Ojha, Shantia Yarahmadian, Richard Hunt Bobo
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 9, pp. 3401-3419
Open Access
Reproduction number projection for the COVID-19 pandemic
Ryan Lester Benjamin
Advances in Continuous and Discrete Models (2023) Vol. 2023, Iss. 1
Open Access
Comparison of Auto ARIMA and Auto SARIMA Performance in COVID-19 Prediction
Hudzaifah Hasri, Siti Armiza Mohd Aris, Robiah Ahmad
(2023), pp. 106-110
Closed Access
The emotion prediction of college students with attention LSTM during the COVID19 epidemic
Mengwei Wu, Shaodan Lin, Chenhan Xiao, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access
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