
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:
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: 11
Miguel Rodrigues, Vera Miguéis, Susana Vaz Freitas, et al.
Journal of Cleaner Production (2023) Vol. 435, pp. 140265-140265
Open Access | Times Cited: 11
Showing 11 citing articles:
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
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
From Plate to Palate: Sustainable Solutions for Upcycling Food Waste in Restaurants and Catering
Nida Kanwal, Min Zhang, Mustafa Zeb, et al.
Trends in Food Science & Technology (2024) Vol. 152, pp. 104687-104687
Closed Access | Times Cited: 5
Nida Kanwal, Min Zhang, Mustafa Zeb, et al.
Trends in Food Science & Technology (2024) Vol. 152, pp. 104687-104687
Closed Access | Times Cited: 5
Reducing product waste within the retail industry: a post-COVID-19 era study on enhancing demand prediction with hybrid prediction models
Maider Elorza, Sara Segura Querol, Eduardo Castellano
Applied Economics (2025), pp. 1-16
Closed Access
Maider Elorza, Sara Segura Querol, Eduardo Castellano
Applied Economics (2025), pp. 1-16
Closed Access
What Really Drives Food Waste in the Restaurant Industry? Evidence from Lithuania
Mangirdas Morkūnas, Yu‐Fei Wang, Valeria Borsellino
Journal of Quality Assurance in Hospitality & Tourism (2025), pp. 1-38
Closed Access
Mangirdas Morkūnas, Yu‐Fei Wang, Valeria Borsellino
Journal of Quality Assurance in Hospitality & Tourism (2025), pp. 1-38
Closed Access
Enhancing E-commerce Dynamics through Deep Learning-Based Customer Demand Prediction
Md. Mortuza Ahmmed, M. Mostafizur Rahman, Mufti Mahmud
Transportation research procedia (2025) Vol. 84, pp. 145-152
Open Access
Md. Mortuza Ahmmed, M. Mostafizur Rahman, Mufti Mahmud
Transportation research procedia (2025) Vol. 84, pp. 145-152
Open Access
Reducing Food Waste in Campus Dining: A Data-Driven Approach to Demand Prediction and Sustainability
Gül Fatma Türker
Sustainability (2025) Vol. 17, Iss. 2, pp. 379-379
Open Access
Gül Fatma Türker
Sustainability (2025) Vol. 17, Iss. 2, pp. 379-379
Open Access
Enhancing resilience and reducing waste in food supply chains: a systematic review and future directions leveraging emerging technologies
Asmaa Seyam, May EI Barachi, Cheng Zhang, et al.
International Journal of Logistics Research and Applications (2024), pp. 1-35
Open Access | Times Cited: 2
Asmaa Seyam, May EI Barachi, Cheng Zhang, et al.
International Journal of Logistics Research and Applications (2024), pp. 1-35
Open Access | Times Cited: 2
Sustainable Food Waste Management in Food Service Establishments in Relation to Unserved Dishes
Marzena Tomaszewska, Beata Bilska, Agnieszka Tul-Krzyszczuk, et al.
Sustainability (2024) Vol. 16, Iss. 15, pp. 6631-6631
Open Access
Marzena Tomaszewska, Beata Bilska, Agnieszka Tul-Krzyszczuk, et al.
Sustainability (2024) Vol. 16, Iss. 15, pp. 6631-6631
Open Access
A Diversified Integrated Model for Seasonal Product Demand Prediction
Bin Liu, Hao Ding, Yun Qiaoyun
Research Square (Research Square) (2024)
Closed Access
Bin Liu, Hao Ding, Yun Qiaoyun
Research Square (Research Square) (2024)
Closed Access
The Development of a Prediction Model Related to Food Loss and Waste in Consumer Segments of Agrifood Chain Using Machine Learning Methods
Daniel Nijloveanu, Victor Tița, Nicolae Bold, et al.
Agriculture (2024) Vol. 14, Iss. 10, pp. 1837-1837
Open Access
Daniel Nijloveanu, Victor Tița, Nicolae Bold, et al.
Agriculture (2024) Vol. 14, Iss. 10, pp. 1837-1837
Open Access
A Comprehensive Review of Food Waste Management Strategies in the Food Service Industry
Ronelle Crocker
Advances in hospitality, tourism and the services industry (AHTSI) book series (2024), pp. 415-444
Closed Access
Ronelle Crocker
Advances in hospitality, tourism and the services industry (AHTSI) book series (2024), pp. 415-444
Closed Access
Machine Learning-Based Inflight Food Waste Prediction For Sustainable Aviation
Duygu Aghazadeh
Havacılık ve Uzay Çalışmaları Dergisi (2024) Vol. 5, Iss. 1, pp. 1-16
Closed Access
Duygu Aghazadeh
Havacılık ve Uzay Çalışmaları Dergisi (2024) Vol. 5, Iss. 1, pp. 1-16
Closed Access