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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:

Cluster-based demand forecasting using Bayesian model averaging: An ensemble learning approach
Mahya Seyedan, Fereshteh Mafakheri, Chun Wang
Decision Analytics Journal (2022) Vol. 3, pp. 100033-100033
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

An outliers detection and elimination framework in classification task of data mining
Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, et al.
Decision Analytics Journal (2023) Vol. 6, pp. 100164-100164
Open Access | Times Cited: 98
Applications of Artificial Intelligence in Inventory Management: A Systematic Review of the Literature
Özge Albayrak Ünal, Burak Erkayman, Bilal Usanmaz
Archives of Computational Methods in Engineering (2023)
Closed Access | Times Cited: 44
A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting
Reuben Varghese Joseph, Anshuman Mohanty, Soumyae Tyagi, et al.
Computers & Electrical Engineering (2022) Vol. 103, pp. 108358-108358
Closed Access | Times Cited: 55
Mine-first association rule mining: An integration of independent frequent patterns in distributed environments
Bharadwaj Mudumba, Md Faisal Kabir
Decision Analytics Journal (2024) Vol. 10, pp. 100434-100434
Open Access | Times Cited: 8
Order-up-to-level inventory optimization model using time-series demand forecasting with ensemble deep learning
Mahya Seyedan, Fereshteh Mafakheri, Chun Wang
Supply Chain Analytics (2023) Vol. 3, pp. 100024-100024
Open Access | Times Cited: 17
An Efficient Approach for Food Demand Forecasting Using an Ensemble Technique and Statistical Analysis
Dudla Anil kumar, Braham Himed Raghuveer M. Rao, B. E. Rangaswamy, et al.
(2025), pp. 61-77
Closed Access
Geographically Weighted Nonlinear Regression for Cost-Effective Policies to Enhance Bus Ridership
Payel Roy, Karthik K. Srinivasan
Sustainability (2025) Vol. 17, Iss. 6, pp. 2485-2485
Open Access
Clustering-based demand forecasting with an application to immunoglobulin products
Zhaleh Rahimi, Na Li, Douglas G. Down, et al.
(2025), pp. 200469-200469
Open Access
A predictive analytics model for designing deep underground foundations using artificial neural networks
Atsou Komla Herve Agbemenou, Ramin Motamed, Amir Talaei‐Khoei
Decision Analytics Journal (2023) Vol. 7, pp. 100220-100220
Open Access | Times Cited: 12
Improving rice phenology simulations based on the Bayesian model averaging method
Jinhui Zheng, Shuai Zhang
European Journal of Agronomy (2022) Vol. 142, pp. 126646-126646
Closed Access | Times Cited: 14
Applying Machine Learning in Retail Demand Prediction—A Comparison of Tree-Based Ensembles and Long Short-Term Memory-Based Deep Learning
Mehran Nasseri, Taha Falatouri, Patrick Brandtner, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 11112-11112
Open Access | Times Cited: 7
Optimizing Supply Chain Management Through BO-CNN-LSTM for Demand Forecasting and Inventory Management
Rong Liu, Vinay Vakharia
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-25
Open Access | Times Cited: 2
Multi-step carbon price forecasting based on a new quadratic decomposition ensemble learning approach
Tingting Zhang, Zhenpeng Tang
Frontiers in Energy Research (2023) Vol. 10
Open Access | Times Cited: 6
A multi-parent genetic algorithm for solving longitude–latitude-based 4D traveling salesman problems under uncertainty
Apurba Manna, Arindam Roy, Samir Maity, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100287-100287
Open Access | Times Cited: 5
An Efficient Framework for Predicting Future Retail Sales Using Ensemble DNN-BiLSTM Technique
K. Babu, Mallikarjun M Kodabagi
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 1
A hybrid LSTM method for forecasting demands of medical items in humanitarian operations
Marwa Hasni, M. Zied Babaï, Bahman Rostami-Tabar
International Journal of Production Research (2024) Vol. 62, Iss. 17, pp. 6046-6063
Closed Access | Times Cited: 1
An integrated image visibility graph and topological data analysis for extracting time series features
Manoj Singh, Shshank Chaube, Sangeeta Pant, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100253-100253
Open Access | Times Cited: 4
Cloud droplets scavenging of gaseous pollutant from the atmosphere: Nonlinear modelling and analyses
A. A. Yinusa, Gbeminiyi Sobamowo, S.J. Ojolo, et al.
Decision Analytics Journal (2022) Vol. 4, pp. 100089-100089
Open Access | Times Cited: 3
Analysis of Inventory Management in Order to Reduce Overstock (Case Study of TVF Footwear)
Novia Fuji Lestari
International Journal of Current Science Research and Review (2022) Vol. 05, Iss. 09
Open Access | Times Cited: 3
Clustering-Based Demand Forecasting with an Application to Immunoglobulin Products
Zhaleh Rahimi, Na Li, Douglas G. Down, et al.
(2024)
Closed Access
Machine Learning Effects on Consumer Decision-Making and Purchase Behavior in the Fashion Industry of India
S. S. J. Singh, A Rajasekaran, Neerajkumar Sathawane, et al.
(2024), pp. 1-5
Closed Access
Predictive Maintenance Based on Anomaly Detection in Photovoltaic System Using SCADA Data and Machine Learning
Agussalim Syamsuddin, Andrew Cahyo Adhi, Amie Kusumawardhani, et al.
Results in Engineering (2024), pp. 103589-103589
Open Access
Autoregressive multimodal transformer for zero-shot sales forecasting of fashion products with exogenous data
M. Moses Antony Rajendran, Bonghee Hong
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access
Integrating Unsupervised and Supervised ML Models for Analysis of Synthetic Data From VAE, GAN, and Clustering of Variables
Lakshmi Prayaga, Krishna Devulapalli, Chandra Prayaga, et al.
International Journal of Data Analytics (2024) Vol. 5, Iss. 1, pp. 1-19
Open Access
A Novel K-means-LSTM Hybrid Model of Supply Chain Inventory Management
Xiaoyang Ji, Junxiao Li, Xinyu Liu, et al.
(2024), pp. 419-425
Closed Access
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