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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 daily Covid-19 cases in the world with a hybrid ARIMA and neural network model
Lucas Rabelo de Araújo Morais, Gecynalda Soares da Silva Gomes
Applied Soft Computing (2022) Vol. 126, pp. 109315-109315
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

An Overview of Forecast Analysis with ARIMA Models during the COVID-19 Pandemic: Methodology and Case Study in Brazil
Raydonal Ospina, João A. M. Gondim, Víctor Leiva, et al.
Mathematics (2023) Vol. 11, Iss. 14, pp. 3069-3069
Open Access | Times Cited: 61
Reconstruction of long-term strain data for structural health monitoring with a hybrid deep-learning and autoregressive model considering thermal effects
Chengbin Chen, Liqun Tang, Yonghui Lu, et al.
Engineering Structures (2023) Vol. 285, pp. 116063-116063
Closed Access | Times Cited: 27
Innovative applications of artificial intelligence during the COVID-19 pandemic
Chenrui Lv, Wenqiang Guo, Xinyi Yin, et al.
Infectious Medicine (2024) Vol. 3, Iss. 1, pp. 100095-100095
Open Access | Times Cited: 13
Changes in Gross Primary Productivity: A past and future approach to climate, land use and wildfires in the western Amazon, Brazil
Cristina Santos, Rafael Coll Delgado, Marcos Gervásio Pereira, et al.
Environmental Development (2025), pp. 101150-101150
Closed Access
Can the number of confirmed COVID-19 cases be predicted more accurately by including lifestyle data? An exploratory study for data-driven prediction of COVID-19 cases in metropolitan cities using deep learning models
Sungwook Jung
Digital Health (2025) Vol. 11
Open Access
Leveraging Ensemble and Hybrid Forecasting Tools to Increase Accuracy: Turkey COVID-19 Case Study
Ozan Evkaya, Fatma Sevinç Kurnaz, Ozancan Özdemir, et al.
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Long-Term Scenario Analysis of Electricity Supply and Demand in Iran: Time Series Analysis, Renewable Electricity Development, Energy Efficiency and Conservation
Mahdi Asadi, Iman Larki, Mohammad Mahdi Forootan, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 4618-4618
Open Access | Times Cited: 9
Application of ARIMA model in forecasting remittance inflows: evidence from Yemen
Imran Khan, Darshita Fulara Gunwant
International Journal of Economic Policy Studies (2024) Vol. 18, Iss. 1, pp. 283-303
Closed Access | Times Cited: 3
MFTM-Informer: A multi-step prediction model based on multivariate fuzzy trend matching and Informer
Lu‐Tao Zhao, Yue Li, Xue-Hui Chen, et al.
Information Sciences (2024) Vol. 681, pp. 121268-121268
Closed Access | Times Cited: 3
Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study
Soheila Mehrmolaei, Mohammad Savargiv, Mohammad Reza Keyvanpour
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106754-106754
Closed Access | Times Cited: 7
Fuzzy inference-based LSTM for long-term time series prediction
Weina Wang, Jiapeng Shao, Huxidan Jumahong
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Forecasting the output of high-tech industry in China: A novel nonlinear grey time-delay multivariable model with variable lag parameters
Huimin Zhou, Yingjie Yang, Shuaishuai Geng
Expert Systems with Applications (2024) Vol. 257, pp. 125054-125054
Closed 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
Predicting the unemployment rate and energy poverty levels in selected European Union countries using an ARIMA-ARNN model
Claudiu Pop̂ırlan, Irina-Valentina Tudor, Cristina Popîrlan
PeerJ Computer Science (2023) Vol. 9, pp. e1464-e1464
Open Access | Times Cited: 4
A hybrid neural network based model for blood donation forecasting
X. H. Ding, Xiao Zhang, Xiaofei Li, et al.
Journal of Biomedical Informatics (2023) Vol. 146, pp. 104488-104488
Open Access | Times Cited: 4
Prediction of annual rice imports emphasizes on systematic error reduction with smoothing series and optimal parameter selection techniques
Thoranin Sujjaviriyasup
Neural Computing and Applications (2024) Vol. 36, Iss. 19, pp. 11275-11295
Closed Access | Times Cited: 1
Semi-supervised prediction method for time series based on Monte Carlo and time fusion feature attention
Yang Yang, Jing Zhang, Lulu Wang
Applied Soft Computing (2024), pp. 112283-112283
Closed Access | Times Cited: 1
LSTM-based Forecasting using Policy Stringency and Time-varying Parameters of the SIR Model for COVID-19
Pavodi Maniamfu, Keisuke Kameyama
(2023) Vol. 2021, pp. 111-116
Closed Access | Times Cited: 3
Inference Based on the Stochastic Expectation Maximization Algorithm in a Kumaraswamy Model with an Application to COVID-19 Cases in Chile
Jorge Figueroa-Zúñiga, Juan G. Toledo, Bernardo Lagos, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2894-2894
Open Access | Times Cited: 3
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
An Accurate Model for Covid-19 Positive Cases in India by using Traditional ARIMA and Artificial Neural Networks (LSTM and Bi-LSTM)
M. Rajendar, D. Mallikarjuna Reddy, V. Nagaraju
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 23, pp. 2421-2429
Open Access
Prediksi Prevalensi Diabetes Tipe 2 menggunakan Artificial Neural Network
Jerhi Wahyu Fernanda, Eva Firdayanti Bisono, Ratna Frenty Nurkhalim, et al.
Jurnal Sains Matematika dan Statistika (2024) Vol. 10, Iss. 2
Open Access
Hybrid Neural Network Models for Time Series Disease Prediction Confronted by Spatiotemporal Dependencies
Hamed Bin Furkan, Nabila Ayman, Md. Zia Uddin
(2024)
Closed Access
Forecasting COVID-19 Pandemic – A scientometric Review of Methodologies Based on Mathematics, Statistics, and Machine Learning
Satya Prakash, Anand Singh Jalal, Pooja Pathak
Data & Metadata (2024) Vol. 3
Closed Access
Forecasting the municipal sewage sludge amount generated at wastewater treatment plants using some machine learning methods
J. Bień, Beata Bień
Desalination and Water Treatment (2023) Vol. 288, pp. 265-272
Closed Access | Times Cited: 1
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