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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 forecasting of seasonal items sales using machine learning – A comparative analysis
Yasaman Ensafi, Saman Hassanzadeh Amin, Guoqing Zhang, et al.
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 1, pp. 100058-100058
Open Access | Times Cited: 142

Showing 1-25 of 142 citing articles:

A Combined Model Based on Recurrent Neural Networks and Graph Convolutional Networks for Financial Time Series Forecasting
Ana Lazcano, Pedro Javier Herrera, Manuel Monge
Mathematics (2023) Vol. 11, Iss. 1, pp. 224-224
Open Access | Times Cited: 62
NOA-LSTM: An efficient LSTM cell architecture for time series forecasting
Hemant Yadav, Amit Thakkar
Expert Systems with Applications (2023) Vol. 238, pp. 122333-122333
Closed Access | Times Cited: 49
Time Series Forecasting Utilizing Automated Machine Learning (AutoML): A Comparative Analysis Study on Diverse Datasets
George Westergaard, Utku Erden, Omar Abdallah Mateo, et al.
Information (2024) Vol. 15, Iss. 1, pp. 39-39
Open Access | Times Cited: 18
A comprehensive benchmark of machine learning-based algorithms for medium-term electric vehicle charging demand prediction
Ömer Can Tolun, Kasım Zor, Önder Tutsoy
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Open Access | Times Cited: 1
Analysis of machine learning strategies for prediction of passing undergraduate admission test
Md. Abul Ala Walid, S.M. Masum Ahmed, Mohammad Zeyad, et al.
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 2, pp. 100111-100111
Open Access | Times Cited: 38
Taming energy and electronic waste generation in bitcoin mining: Insights from Facebook prophet and deep neural network
Rabin K. Jana, Indranil Ghosh, Martin W. Wallin
Technological Forecasting and Social Change (2022) Vol. 178, pp. 121584-121584
Closed Access | Times Cited: 37
Sentiment analysis on images using convolutional neural networks based Inception-V3 transfer learning approach
Gaurav Meena, Krishna Kumar Mohbey, Sunil Kumar
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 1, pp. 100174-100174
Open Access | Times Cited: 35
Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
Lanouar Charfeddine, Esmat Zaidan, Ahmad Qadeib Alban, et al.
Sustainable Cities and Society (2023) Vol. 98, pp. 104860-104860
Open Access | Times Cited: 26
Residential energy consumption forecasting using deep learning models
Paulo Vitor Barbosa Ramos, Saulo Moraes Villela, Walquiria N. Silva, et al.
Applied Energy (2023) Vol. 350, pp. 121705-121705
Closed Access | Times Cited: 24
Addressing Seasonality and Trend Detection in Predictive Sales Forecasting: A Machine Learning Perspective
MD ROKIOBUL HASAN
Journal of Business and Management Studies (2024) Vol. 6, Iss. 2, pp. 100-109
Open Access | Times Cited: 11
Comparative Analysis of Machine Learning Models for Accurate Retail Sales Demand Forecasting
Rasel Mahmud Jewel, Ahmed Ali Linkon, Mujiba Shaima, et al.
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 1, pp. 204-210
Open Access | Times Cited: 8
Convolutional-LSTM networks and generalization in forecasting of household photovoltaic generation
Rogério Luís de C. Costa
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105458-105458
Open Access | Times Cited: 30
How can we create a recommender system for tourism? A location centric spatial binning-based methodology using social networks
Malika Acharya, Shilpi Yadav, Krishna Kumar Mohbey
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 1, pp. 100161-100161
Open Access | Times Cited: 18
Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements
Nataliia Kashpruk, C. Piskor-Ignatowicz, Jerzy Baranowski
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12374-12374
Open Access | Times Cited: 17
Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study
Θεόδωρος Θεοδωρόπουλος, Antonios Makris, Ioannis Kontopoulos, et al.
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 1, pp. 100158-100158
Open Access | Times Cited: 16
Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions
Konstantinos Panagiotis Fourkiotis, Athanasios Tsadiras
Forecasting (2024) Vol. 6, Iss. 1, pp. 170-186
Open Access | Times Cited: 6
A Review of Time-Series Forecasting Algorithms for Industrial Manufacturing Systems
Syeda Sitara Wishal Fatima, Afshin Rahimi
Machines (2024) Vol. 12, Iss. 6, pp. 380-380
Open Access | Times Cited: 6
A novel sales forecast framework based on separate feature extraction and reconciliation under hierarchical constraint
Xingyou Yan, Heng Zhang, Qiang Miao
Computers & Industrial Engineering (2025), pp. 110875-110875
Closed Access
Using a novel clustered 3D-CNN model for improving crop future price prediction
Liege Cheung, Yun Wang, Adela S. M. Lau, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110133-110133
Open Access | Times Cited: 23
Air cargo transport demand forecasting using ConvLSTM2D, an artificial neural network architecture approach
Juan Gerardo Muros Anguita, Óscar Díaz Olariaga
Case Studies on Transport Policy (2023) Vol. 12, pp. 101009-101009
Closed Access | Times Cited: 15
A novel multi-phase hierarchical forecasting approach with machine learning in supply chain management
Sajjad Taghiyeh, David C Lengacher, Amir Hossein Sadeghi, et al.
Supply Chain Analytics (2023) Vol. 3, pp. 100032-100032
Open Access | Times Cited: 14
Hidformer: Hierarchical dual-tower transformer using multi-scale mergence for long-term time series forecasting
Zhaoran Liu, Yizhi Cao, Hu Xu, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122412-122412
Closed Access | Times Cited: 14
Forecasting Trend Changes of Cement Demand in the United States: An Exploratory Study
Ardavan Yazdanbakhsh
Results in Engineering (2025), pp. 103859-103859
Open Access
A Machine Learning Approach for Filling Long Gaps in Eddy Covariance Time Series Data in a Tropical Dry Forest
Mohammed Abdaki, Arturo Sánchez‐Azofeifa, Hendrik F. Hamann
Journal of Geophysical Research Biogeosciences (2025) Vol. 130, Iss. 1
Closed Access
USFF: A Unified Sales Forecasting Framework with Fourier-Enhanced Decomposed Net
Qianyang Li, Xingjun Zhang, Shaoxun Wang, et al.
Research Square (Research Square) (2025)
Closed Access
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