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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:

A Hybrid Neural Network and Box-Jenkins Models for Time Series Forecasting
Mohammad Hadwan, Basheer Mohamad Al-Maqaleh, Fuad N. Al-Badani, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 3, pp. 4829-4845
Open Access | Times Cited: 18

Showing 18 citing articles:

Hybrid Forecasting Methods—A Systematic Review
Lennart B. Sina, Cristian A. Secco, Midhad Blazevic, et al.
Electronics (2023) Vol. 12, Iss. 9, pp. 2019-2019
Open Access | Times Cited: 15
Investigation of Setpoint Tracking Control Schemes for Digital Twin of Industrial Finned Heater
Ajith B. Singh, Jaisiva Selvaraj, A. Anie Selva Jothi, et al.
Optimal Control Applications and Methods (2025)
Closed Access
Building carbon peak scenario prediction in China using system dynamics model
Qianqian Zhang, Jingxin Li
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 96019-96039
Closed Access | Times Cited: 12
Time series prediction with granular neural networks
Mingli Song, Yan Li, Witold Pedrycz
Neurocomputing (2023) Vol. 546, pp. 126328-126328
Closed Access | Times Cited: 10
Machine learning Ethereum cryptocurrency prediction and knowledge-based investment strategies
Adrián Viéitez, Matilde Santos, Rodrigo Naranjo
Knowledge-Based Systems (2024) Vol. 299, pp. 112088-112088
Open Access | Times Cited: 3
A new hybrid recurrent artificial neural network for time series forecasting
Erol Eğrioğlu, Eren Baş
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2855-2865
Closed Access | Times Cited: 13
Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices
Iyad Abu Doush, Basem H.A. Ahmed, Mohammed A. Awadallah, et al.
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 2
Heteroscedasticity effects as component to future stock market predictions using RNN-based models
Aida Nabilah Sadon, Shuhaida Ismail, Azme Khamis, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0297641-e0297641
Open Access | Times Cited: 2
A TMA-Seq2seq Network for Multi-Factor Time Series Sea Surface Temperature Prediction
Qi He, Wenlong Li, Zengzhou Hao, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 1, pp. 51-67
Open Access | Times Cited: 3
Threats From Unintentional Insiders: An Assessment of an Organization’s Readiness Using Machine Learning
M. M. Hafizur Rahman, Mohammed Al-Naeem, Adamu Abubakar Ibrahim
IEEE Access (2022) Vol. 10, pp. 110294-110308
Open Access | Times Cited: 3
ARIMA MODEL VERIFICATION WITH OUTLIER FACTORS USING CONTROL CHART
Tarisa Umairah, Nurfitri Imro’ah, Nur’ainul Miftahul Huda
BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (2024) Vol. 18, Iss. 1, pp. 0579-0588
Open Access
Modelling Petrol Prices in Kenya from 2014 to 2023 Using Sarimax Model: A Case Study of Nairobi County
Fidelis Nyamai, Joseph Esekon, Edwine B. Atitwa
American Journal of Theoretical and Applied Statistics (2024) Vol. 13, Iss. 4, pp. 85-91
Open Access
A Study of LSTM Multi-Factor Stock Index Prediction Based on Attention Mechanism
福镇 李
Advances in Applied Mathematics (2024) Vol. 13, Iss. 11, pp. 4831-4844
Closed Access
The benefits of social insurance system prediction using a hybrid fuzzy time series method
Ahmed A. Khalil, Mohamed Abdelaziz Mandour, Ahmed Ali
PeerJ Computer Science (2024) Vol. 10, pp. e2500-e2500
Open Access
Forecasting China's Consumer Price Index (CPI) Based on Combined ARIMA-LSTM Models
Yü Liu
Frontiers in Business Economics and Management (2024) Vol. 16, Iss. 2, pp. 264-270
Closed Access
Neural Network Models for Time Series Analysis and Estimation
Louay Al Nuaimy
Lecture notes in networks and systems (2023), pp. 159-169
Closed Access
Exploring the Business-Culture Relationship with Box-Jenkins ARIMA Analysis for Forecasting the Path and Future Prospects of the Popular Music Industry
Jin Xi, H.S. Kim
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 6, pp. 372-379
Open Access
THE STOCHASTIC HYDROLOGICAL FORECAST MODELS FOR RAINFALL PREDICTIONS TO AID CLIMATE CHANGE RESILIENCE WITHIN THE TANA ALLUVIAL AQUIFER ZONES USING THE ARIMA BOX-JENKINS ALGORITHMS

International Research Journal of Modernization in Engineering Technology and Science (2023)
Open Access
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