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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:

Supply chain forecasting: Theory, practice, their gap and the future
Aris Syntetos, Zied Babai, John E. Boylan, et al.
European Journal of Operational Research (2015) Vol. 252, Iss. 1, pp. 1-26
Open Access | Times Cited: 254

Showing 26-50 of 254 citing articles:

Operations research models and methods for safety stock determination: A review
João N.C. Gonçalves, Maria Sameiro Carvalho, Paulo Cortez
Operations Research Perspectives (2020) Vol. 7, pp. 100164-100164
Open Access | Times Cited: 54
Evaluation of deep learning with long short-term memory networks for time series forecasting in supply chain management
Massimo Pacella, Gabriele Papadia
Procedia CIRP (2021) Vol. 99, pp. 604-609
Open Access | Times Cited: 43
Intermittent demand forecasting for spare parts: A Critical review
Çerağ Pinçe, Laura Turrini, Joern Meissner
Omega (2021) Vol. 105, pp. 102513-102513
Open Access | Times Cited: 42
Analysis and prediction of food donation behavior for a domestic hunger relief organization
Lauren Davis, Steven Jiang, Shona D. Morgan, et al.
International Journal of Production Economics (2016) Vol. 182, pp. 26-37
Open Access | Times Cited: 60
A survey of semiconductor supply chain models Part II: demand planning, inventory management, and capacity planning
Reha Uzsoy, John Fowler, Lars Mönch
International Journal of Production Research (2018) Vol. 56, Iss. 13, pp. 4546-4564
Closed Access | Times Cited: 59
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
Spare parts demand forecasting: a review on bootstrapping methods
M. Hasni, M.S. Aguir, M. Zied Babai, et al.
International Journal of Production Research (2018) Vol. 57, Iss. 15-16, pp. 4791-4804
Open Access | Times Cited: 52
A memetic algorithm with a novel neighborhood search and modified solution representation for closed-loop supply chain network design
Ehsan Yadegari, Akbar Alemtabriz, M. Zandieh
Computers & Industrial Engineering (2018) Vol. 128, pp. 418-436
Closed Access | Times Cited: 50
Social Media Big Data Analytics for Demand Forecasting
Rehan Iftikhar, Mohammad Saud Khan
Journal of Global Information Management (2019) Vol. 28, Iss. 1, pp. 103-120
Open Access | Times Cited: 50
Remanufacturing configuration in complex supply chains
Roberto Domínguez, Salvatore Cannella, José M. Framiñán
Omega (2020) Vol. 101, pp. 102268-102268
Closed Access | Times Cited: 49
Generalizing the Theta method for automatic forecasting
Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis
European Journal of Operational Research (2020) Vol. 284, Iss. 2, pp. 550-558
Closed Access | Times Cited: 44
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
Demand forecasting in supply chains: a review of aggregation and hierarchical approaches
M. Zied Babai, John E. Boylan, Bahman Rostami-Tabar
International Journal of Production Research (2021) Vol. 60, Iss. 1, pp. 324-348
Open Access | Times Cited: 40
A combined forecasting method for intermittent demand using the automotive aftermarket data
Xiaotian Zhuang, Ying Yu, Aihui Chen
Data Science and Management (2022) Vol. 5, Iss. 2, pp. 43-56
Open Access | Times Cited: 25
Basket data-driven approach for omnichannel demand forecasting
Haytham Omar, Walid Klibi, M. Zied Babaï, et al.
International Journal of Production Economics (2022) Vol. 257, pp. 108748-108748
Open Access | Times Cited: 23
Use of contextual and model-based information in adjusting promotional forecasts
Anna Sroginis, Robert Fildes, Nikolaos Kourentzes
European Journal of Operational Research (2022) Vol. 307, Iss. 3, pp. 1177-1191
Open Access | Times Cited: 23
A novel multi-phase hierarchical forecasting approach with machine learning in supply chain management
Sajjad Taghiyeh, David C Lengacher, Amir Hossein Sadeghi, et al.
Supply Chain Analytics (2023) Vol. 3, pp. 100032-100032
Open Access | Times Cited: 16
Utilizing people, analytics, and AI for decision making in the digitalized retail supply chain
Rebekah Inez Brau, Nada R. Sanders, John Aloysius, et al.
Journal of Business Logistics (2023) Vol. 45, Iss. 1
Open Access | Times Cited: 14
Joint maintenance and spare-parts inventory models: a review and discussion of practical stock-keeping rules
Philip Scarf, Aris Syntetos, Ruud Teunter
IMA Journal of Management Mathematics (2023) Vol. 35, Iss. 1, pp. 83-109
Open Access | Times Cited: 14
Forecasting and planning for a critical infrastructure sector during a pandemic: Empirical evidence from a food supply chain
Tariq Aljuneidi, Sushil Punia, Aïda Jebali, et al.
European Journal of Operational Research (2024) Vol. 317, Iss. 3, pp. 936-952
Closed Access | Times Cited: 5
Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?
Nikolaos Kourentzes, Bahman Rostami-Tabar, Devon K. Barrow
Journal of Business Research (2017) Vol. 78, pp. 1-9
Open Access | Times Cited: 46
Integrated hierarchical forecasting
Clint L.P. Pennings, Jan van Dalen
European Journal of Operational Research (2017) Vol. 263, Iss. 2, pp. 412-418
Open Access | Times Cited: 43
Using Bayesian Networks to forecast spares demand from equipment failures in a changing service logistics context
Petros Boutselis, Ken R. McNaught
International Journal of Production Economics (2018) Vol. 209, pp. 325-333
Closed Access | Times Cited: 43
OVAP: A strategy to implement partial information sharing among supply chain retailers
Roberto Domínguez, Salvatore Cannella, Ana Paula Barbosa‐Póvoa, et al.
Transportation Research Part E Logistics and Transportation Review (2017) Vol. 110, pp. 122-136
Open Access | Times Cited: 41
Big data in spare parts supply chains
Joakim Andersson, Patrik Jönsson
International Journal of Physical Distribution & Logistics Management (2018) Vol. 48, Iss. 5, pp. 524-544
Closed Access | Times Cited: 41

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