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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:

Demand forecasting for fashion products: A systematic review
Kritika Swaminathan, Rakesh Venkitasubramony
International Journal of Forecasting (2023) Vol. 40, Iss. 1, pp. 247-267
Closed Access | Times Cited: 20

Showing 20 citing articles:

Engaging consumers through artificially intelligent technologies: Systematic review, conceptual model, and further research
Linda D. Hollebeek, Choukri Menidjel, Marko Sarstedt, et al.
Psychology and Marketing (2024) Vol. 41, Iss. 4, pp. 880-898
Open Access | Times Cited: 36
Research on Cross-Border e-Commerce Supply Chain Prediction and Optimization Model Based on Convolutional Neural Network Algorithm
Yajie Zhao, Bin Gong, Bo Huang
Journal of Advanced Computational Intelligence and Intelligent Informatics (2025) Vol. 29, Iss. 1, pp. 215-223
Open Access | Times Cited: 1
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
A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting
Ligang Cui, Yingcong Chen, Jie Deng, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124409-124409
Closed Access | Times Cited: 5
Forecasting Retail Sales for Furniture and Furnishing Items through the Employment of Multiple Linear Regression and Holt–Winters Models
Melike Nur İnce, Çağatay Taşdemir
Systems (2024) Vol. 12, Iss. 6, pp. 219-219
Open Access | Times Cited: 4
Demand forecasting in clearance season for fast fashion retail: a residual learning approach
Nur Gülcan, Dilek Tüzün Aksu, Dionysis Goularas
International Journal of Clothing Science and Technology (2025)
Closed Access
Artificial Intelligence Capabilities for Demand Planning Process
CLAUDIA APARECIDA MATTOS, Fernanda Caveiro Correia, Kumiko Oshio Kissimoto
Logistics (2024) Vol. 8, Iss. 2, pp. 53-53
Open Access | Times Cited: 1
A New Hybrid Approach for Product Management in E-Commerce
Hacire Oya Yüregir, Metin Özşahin, Serap Akcan
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5735-5735
Open Access | Times Cited: 1
Development of machine learning based demand forecasting models for the e-commerce sector
Alim Toprak Fırat, Onur Aygün, Mustafa Göğebakan, et al.
(2024) Vol. 7, Iss. 1, pp. 13-20
Open Access | Times Cited: 1
Can crowdsourcing improve prediction accuracy in fashion retail buying?
Omid Kamran‐Disfani, Murali K. Mantrala
Journal of Retailing (2024) Vol. 100, Iss. 3, pp. 404-421
Closed Access
Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions
Hamid Ahaggach, Lylia Abrouk, Éric Lebon
Forecasting (2024) Vol. 6, Iss. 3, pp. 502-532
Open Access
Assessing the Relationship between Environmental and Social Sustainability with Procurement Practices in the Clothing Industry
Ntombizodwa J. Matsoma, Intaher Marcus Ambe
(2024)
Closed Access
A Demand Forecasting Model Leveraging Machine Learning to Decode Customer Preferences for New Fashion Products
S. Anitha, R. Neelakandan
Complexity (2024) Vol. 2024, Iss. 1
Open Access
Data Analysis in Demand Forecasting: A Case Study of Poetry Book Sales in the European Area
Andrea Kolková
Central European Business Review (2024)
Open Access
Forecasting Demand and Controlling Inventory Using Transformer-Based Neural Network Optimized by Whale Optimization Algorithm
S.X. Wang
(2024), pp. 915-923
Closed Access
Judgmental adjustment of demand forecasting models using social media data and sentiment analysis within industry 5.0 ecosystems
Yvonne Badulescu, F. Cañas, Naoufel Cheikhrouhou
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 2, pp. 100272-100272
Open Access
Resilience in the Face of Uncertainty: Navigating Supply Chain Challenges Through Proactive Risk Surveillance and Mitigation Strategies among SMEs in ASEAN countries
Sanmugam Annamalah, Kalisri Logeswaran Aravindan, Selim Ahmed
F1000Research (2024) Vol. 13, pp. 1037-1037
Open Access
A Comprehensive Study on Different Machine Learning Approaches for Retail Sales Forecasting: Methods, Procedures, Obstacles, and Prospects
R. Kotak, Rajnish Rakholia
Lecture notes in networks and systems (2024), pp. 529-541
Closed Access
The Effects of Artificial Intelligence on the Fashion Industry—Opportunities and Challenges for Sustainable Transformation
Jolanta Bieńkowska
Sustainable Development (2024)
Closed Access
Oil Demand Forecasting in Importing and Exporting Countries: AI-Based Analysis of Endogenous and Exogenous Factors
Hui Zhu
Sustainability (2023) Vol. 15, Iss. 18, pp. 13592-13592
Open Access | Times Cited: 1
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