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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 seasonal autoregressive integrated moving average and quantile regression for daily food sales forecasting
Nari Sivanandam Arunraj, Diane Ahrens
International Journal of Production Economics (2015) Vol. 170, pp. 321-335
Closed Access | Times Cited: 173

Showing 1-25 of 173 citing articles:

Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities
Mahya Seyedan, Fereshteh Mafakheri
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 284
Food Security, Safety, and Sustainability—Getting the Trade-Offs Right
Ivar Vågsholm, Naser Shah Arzoomand, Sofia Boqvist
Frontiers in Sustainable Food Systems (2020) Vol. 4
Open Access | Times Cited: 243
Retail forecasting: Research and practice
Robert Fildes, Shaohui Ma, Stephan Kolassa
International Journal of Forecasting (2019) Vol. 38, Iss. 4, pp. 1283-1318
Open Access | Times Cited: 223
A systematic review of the research trends of machine learning in supply chain management
Du Ni, Zhi Xiao, Ming K. Lim
International Journal of Machine Learning and Cybernetics (2019) Vol. 11, Iss. 7, pp. 1463-1482
Closed Access | Times Cited: 153
Retail sales forecasting with meta-learning
Shaohui Ma, Robert Fildes
European Journal of Operational Research (2020) Vol. 288, Iss. 1, pp. 111-128
Open Access | Times Cited: 134
Daily retail demand forecasting using machine learning with emphasis on calendric special days
Jakob Huber, Heiner Stuckenschmidt
International Journal of Forecasting (2020) Vol. 36, Iss. 4, pp. 1420-1438
Closed Access | Times Cited: 121
A digitally enabled circular economy for mitigating food waste: Understanding innovative marketing strategies in the context of an emerging economy
Michele de Souza, Giancarlo Medeiros Pereira, Ana Beatriz Lopes de Sousa Jabbour, et al.
Technological Forecasting and Social Change (2021) Vol. 173, pp. 121062-121062
Open Access | Times Cited: 80
Explainable boosted linear regression for time series forecasting
Igor Ilic, Berk Görgülü, Mücahit Çevik, et al.
Pattern Recognition (2021) Vol. 120, pp. 108144-108144
Open Access | Times Cited: 58
A Hybrid Model with Applying Machine Learning Algorithms and Optimization Model to Forecast Greenhouse Gas Emissions with Energy Market Data
Majid Emami Javanmard, S.F. Ghaderi
Sustainable Cities and Society (2022) Vol. 82, pp. 103886-103886
Closed Access | Times Cited: 58
Predictive analytics for demand forecasting: A deep learning-based decision support system
Sushil Punia, Sonali Shankar
Knowledge-Based Systems (2022) Vol. 258, pp. 109956-109956
Closed Access | Times Cited: 48
Advancing energy efficiency: Machine learning based forecasting models for integrated power systems in food processing company
Seray MİRASÇI, Sara Uygur, Aslı Aksoy
International Journal of Electrical Power & Energy Systems (2025) Vol. 165, pp. 110445-110445
Open Access | Times Cited: 1
Machine Learning in Predicting Demand for Fast-Moving Consumer Goods: An Exploratory Research
Elcio Tarallo, Getúlio Kazue Akabane, CAMILO ILZO SHIMABUKURO, et al.
IFAC-PapersOnLine (2019) Vol. 52, Iss. 13, pp. 737-742
Open Access | Times Cited: 56
Green marketing in supermarkets: Conventional and digitized marketing alternatives to reduce waste
Jorge Gustavo, Luiz Reni Trento, Michele de Souza, et al.
Journal of Cleaner Production (2021) Vol. 296, pp. 126531-126531
Closed Access | Times Cited: 52
Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales
Md. Iftekharul Alam Efat, Petr Hájek, Mohammad Zoynul Abedin, et al.
Annals of Operations Research (2022) Vol. 339, Iss. 1-2, pp. 297-328
Closed Access | Times Cited: 35
A hybrid carbon price prediction model based-combinational estimation strategies of quantile regression and long short-term memory
Nijun Jiang, Xiaobing Yu, Manawwer Alam
Journal of Cleaner Production (2023) Vol. 429, pp. 139508-139508
Closed Access | Times Cited: 19
Machine Learning Application in Horticulture and Prospects for Predicting Fresh Produce Losses and Waste: A Review
Ikechukwu Kingsley Opara, Umezuruike Linus Opara, Jude A. Okolie, et al.
Plants (2024) Vol. 13, Iss. 9, pp. 1200-1200
Open Access | Times Cited: 7
Forecast Information Sharing for Managing Supply Chains in the Big Data Era: Recent Development and Future Research
Bin Shen, Hau‐Ling Chan
Asia Pacific Journal of Operational Research (2017) Vol. 34, Iss. 01, pp. 1740001-1740001
Closed Access | Times Cited: 54
Sales-forecasting of Retail Stores using Machine Learning Techniques
Akshay Krishna, V. Akhilesh, Animikh Aich, et al.
(2018), pp. 160-166
Closed Access | Times Cited: 54
Demand forecasting at retail stage for selected vegetables: a performance analysis
Rahul Priyadarshi, Akash Panigrahi, Srikanta Routroy, et al.
Journal of Modelling in Management (2019) Vol. 14, Iss. 4, pp. 1042-1063
Closed Access | Times Cited: 43
Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions
Florian Haselbeck, Jennifer Killinger, Klaus Menrad, et al.
Machine Learning with Applications (2021) Vol. 7, pp. 100239-100239
Open Access | Times Cited: 34
A theory of predictive sales analytics adoption
Johannes Habel, Sascha Alavi, Nicolas Heinitz
AMS Review (2023)
Open Access | Times Cited: 13
Machine learning models for short-term demand forecasting in food catering services: A solution to reduce food waste
Miguel Rodrigues, Vera Miguéis, Susana Vaz Freitas, et al.
Journal of Cleaner Production (2023) Vol. 435, pp. 140265-140265
Open Access | Times Cited: 13
MEMF: Multi-entity multimodal fusion framework for sales prediction in live streaming commerce
Guang Xu, Ming Ren, Zhenhua Wang, et al.
Decision Support Systems (2024) Vol. 184, pp. 114277-114277
Closed Access | Times Cited: 5
Probabilistic forecasting of heterogeneous consumer transaction–sales time series
Lindsay R. Berry, Paul Helman, Mike West
International Journal of Forecasting (2019) Vol. 36, Iss. 2, pp. 552-569
Open Access | Times Cited: 42
Forecasting third-party mobile payments with implications for customer flow prediction
Shaohui Ma, Robert Fildes
International Journal of Forecasting (2020) Vol. 36, Iss. 3, pp. 739-760
Open Access | Times Cited: 35
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