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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:

Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry
Chandadevi Giri, Yan Chen
Forecasting (2022) Vol. 4, Iss. 2, pp. 565-581
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Exploring the Intersection of Machine Learning and Big Data: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 13-13
Open Access | Times Cited: 1
ENHANCING FASHION FORECASTING ACCURACY THROUGH CONSUMER DATA ANALYTICS: INSIGHTS FROM CURRENT LITERATURE
Md Rohul Amin, Shakhauat Hossen Morshedul Islam Mridha Younus, Shakhauat Hossen, et al.
Academic journal on business administration, innovation & sustainability. (2024) Vol. 4, Iss. 2, pp. 54-66
Open Access | Times Cited: 7
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
Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models
Nawa Raj Pokhrel, Keshab R. Dahal, Ramchandra Rimal, et al.
Software (2024) Vol. 3, Iss. 1, pp. 47-61
Open Access | Times Cited: 4
WSN-Assisted Consumer Purchasing Power Prediction via Barracuda Swarm Optimization-Driven Deep Learning for E-Commerce Systems
Latifah Almuqren, Nuha Alruwais, Asma A. Alhashmi, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 1694-1701
Closed Access | Times Cited: 4
How Artificial Intelligence and Generative AI Is Revolutionizing the Fashion Industry
B. Uma Maheswari, G. Painguzhali, V.G. Ritesh Ananth, et al.
Advances in business strategy and competitive advantage book series (2025), pp. 281-316
Closed Access
Data Analytics and Supply Chain Management: Leveraging Big Data to Optimize Production and Logistics in Fashion and Textiles
Vijay Kumar
Springer series in fashion business (2025), pp. 89-105
Closed Access
Deep Learning

Advances in computer and electrical engineering book series (2023), pp. 107-138
Closed Access | Times Cited: 10
Application of Computer Vision on E-Commerce Platforms and Its Impact on Sales Forecasting
Weidong Liu, Xi-Shui She
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-20
Open Access | Times Cited: 3
Multi-modal transform-based fusion model for new product sales forecasting
Xiangzhen Li, Jiaxing Shen, Dezhi Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108606-108606
Closed Access | Times Cited: 2
A demand forecasting system of product categories defined by their time series using a hybrid approach of ensemble learning with feature engineering
Santiago Mejía, José Aguilar
Computing (2024)
Open Access | Times Cited: 2
Analyzing E-Commerce Market Data Using Deep Learning Techniques to Predict Industry Trends
Wei Qian, Yijie Wang
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-22
Open Access | Times Cited: 1
Artificial intelligence-based precise prediction of anthropometric data for female garment pattern-making
Yuanjing Huang, Hong Shen, Yuyuan Shi, et al.
Journal of the Textile Institute (2024), pp. 1-9
Closed Access | Times Cited: 1
AI in fashion: a literature review
Elias Kouslis, Evridiki Papachristou, Thanos G. Stavropoulos, et al.
Electronic Commerce Research (2024)
Closed Access | Times Cited: 1
Demand Forecasting New Fashion Products: A Review Paper
S. Anitha, R. Neelakandan
Journal of Forecasting (2024)
Open Access | Times Cited: 1
Evaluating the fidelity of statistical forecasting and predictive intelligence by utilizing a stochastic dataset
Mohammad Shahin, F. Frank Chen, Mazdak Maghanaki, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 1
Sales forecasting of marketing using adaptive response rate single exponential smoothing algorithm
Tegar Arifin Prasetyo, Evan Richardo Sianipar, Poibe Leny Naomi, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 31, Iss. 1, pp. 423-423
Open Access | Times Cited: 3
Supply Chain Demand Forecast Based on SSA-XGBoost Model
NI Shi-feng, Yan Peng, Ke Peng, et al.
Journal of Computer and Communications (2022) Vol. 10, Iss. 12, pp. 71-83
Open Access | Times Cited: 3
Predictive Classification Framework for Software Demand Using Ensembled Machine Learning
Salma Firdose, Burhan Ul Islam Khan
Lecture notes in networks and systems (2024), pp. 183-195
Closed Access
Imaged-Based Similarity for Demand Forecasting: a Novel Multimodal Method to Exploit Images’ Latent Information
Junyi Sha, Yuxiang Liu, Hanwei Li, et al.
SSRN Electronic Journal (2024)
Closed Access
Optimization of Demand Forecasting in the Supply Chain Management of Apparel Industry
Amalsha Ranawaka, Saadh Jawwadh
Research Square (Research Square) (2024)
Open Access
Analysis of Demand Forecasting Trends using Hybrid Regression Model in Comparison with Seasonal Autoregressive Integrated Moving Average with eXogenous Factors Model
Adibhatla Ajay Bharadwaj, M. Gunasekaran
(2024), pp. 1-6
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
Improving Machine Learning Predictive Capacity for Supply Chain Optimization through Domain Adversarial Neural Networks
Javed Sayyad, Khush Attarde, Bülent Yılmaz
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 8, pp. 81-81
Open Access
The Use of Machine Learning Algorithms in the Analysis of Sentiments of E- Commerce Customer Reviews and Recommendations Feedback
Othman Alrusaini, Hasan Beyari
Research Square (Research Square) (2024)
Open Access
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