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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 systematic review of machine learning in logistics and supply chain management: current trends and future directions
Mohammadreza Akbari, Thu Nguyen Anh
Benchmarking An International Journal (2021) Vol. 28, Iss. 10, pp. 2977-3005
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Digital technologies as enablers of supply chain sustainability in an emerging economy
Mohammadreza Akbari, John Hopkins
Operations Management Research (2022) Vol. 15, Iss. 3-4, pp. 689-710
Open Access | Times Cited: 121
Artificial neural networks in supply chain management, a review
Mohsen Soori, Behrooz Arezoo, Roza Dastres
Journal of Economy and Technology (2023) Vol. 1, pp. 179-196
Open Access | Times Cited: 43
MACHINE LEARNING'S INFLUENCE ON SUPPLY CHAIN AND LOGISTICS OPTIMIZATION IN THE OIL AND GAS SECTOR: A COMPREHENSIVE ANALYSIS
Agnes Clare Odimarha, Sodrudeen Abolore Ayodeji, Emmanuel Adeyemi Abaku
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 3, pp. 725-740
Open Access | Times Cited: 42
Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management
Vikram Pasupuleti, Bharadwaj Thuraka, Chandra Shikhi Kodete, et al.
Logistics (2024) Vol. 8, Iss. 3, pp. 73-73
Open Access | Times Cited: 41
Application of artificial intelligence in demand planning for supply chains: a systematic literature review
Alexandre Walter, Kamrul Ahsan, Shams Rahman
The International Journal of Logistics Management (2025)
Closed Access | Times Cited: 2
Applications of artificial intelligence and machine learning within supply chains:systematic review and future research directions
Hassan Younis, Balan Sundarakani, Malek Alsharairi
Journal of Modelling in Management (2021) Vol. 17, Iss. 3, pp. 916-940
Closed Access | Times Cited: 76
Last mile delivery in logistics and supply chain management: a bibliometric analysis and future directions
Nghiep Ha, Mohammadreza Akbari, Bill Au
Benchmarking An International Journal (2022) Vol. 30, Iss. 4, pp. 1137-1170
Closed Access | Times Cited: 49
Co-authorship network analysis of AI applications in sustainable supply chains: Key players and themes
Mehrdad Maghsoudi, Sajjad Shokouhyar‎, A. Ataei, et al.
Journal of Cleaner Production (2023) Vol. 422, pp. 138472-138472
Closed Access | Times Cited: 33
Developing trends in showrooming, webrooming, and omnichannel shopping behaviors: Performance analysis, conceptual mapping, and future directions
Alrence Santiago Halibas, Anh Thi Van Nguyen, Mohammadreza Akbari, et al.
Journal of Consumer Behaviour (2023) Vol. 22, Iss. 5, pp. 1237-1264
Open Access | Times Cited: 28
Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications
Claudia Arellano, Joseph Govan
Agronomy (2024) Vol. 14, Iss. 2, pp. 341-341
Open Access | Times Cited: 12
Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda
Clara Suraña‐Sánchez, Maria Elena Aramendia‐Muneta
International Journal of Consumer Studies (2024) Vol. 48, Iss. 2
Open Access | Times Cited: 12
Reinforcement Learning Approach in Supply Chain Management
Rajkanwar Singh, P. Mandal, Sukanta Nayak
(2024), pp. 271-302
Closed Access | Times Cited: 12
Construction supply chain risk management
Milad Baghalzadeh Shishehgarkhaneh, Robert Moehler, Yihai Fang, et al.
Automation in Construction (2024) Vol. 162, pp. 105396-105396
Open Access | Times Cited: 11
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
A systematic review of artificial intelligence and data-driven approaches in strategic open-pit mine planning
Roberto Noriega, Yashar Pourrahimian
Resources Policy (2022) Vol. 77, pp. 102727-102727
Closed Access | Times Cited: 37
A Framework for Investigating the Adoption of Key Technologies: Presentation of the Methodology and Explorative Analysis of Emerging Practices
Antonello Cammarano, Vincenzo Varriale, Francesca Michelino, et al.
IEEE Transactions on Engineering Management (2023) Vol. 71, pp. 3843-3866
Open Access | Times Cited: 20
Supply chain risk assessment in disruptive times: opportunities and challenges
An Duong Thi Binh, Thu-Hang Hoang, Tram T. B. Nguyen, et al.
Journal of Enterprise Information Management (2023) Vol. 36, Iss. 5, pp. 1372-1401
Closed Access | Times Cited: 20
Feature extraction for artificial intelligence enabled food supply chain failure mode prediction
Hana Trollman
Discover Food (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 6
Current and Future Trends of Information Technology and Sustainability in Logistics Outsourcing
Joash Mageto
Sustainability (2022) Vol. 14, Iss. 13, pp. 7641-7641
Open Access | Times Cited: 23
Predictable inventory management within dairy supply chain operations
Rosario Huerta-Soto, Edwin Ramírez-Asís, John Tarazona Jiménez, et al.
International Journal of Retail & Distribution Management (2023)
Closed Access | Times Cited: 16
Data-driven review of additive manufacturing on supply chains: Regionalization, key research themes and future directions
Mohammadreza Akbari
Computers & Industrial Engineering (2023) Vol. 184, pp. 109600-109600
Open Access | Times Cited: 16
Project Management for Supply Chains 4.0: A conceptual framework proposal based on PMBOK methodology
Guilherme F. Frederico
Operations Management Research (2021) Vol. 14, Iss. 3-4, pp. 434-450
Closed Access | Times Cited: 32
Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study
Johannes Hangl, Viktoria Joy Behrens, Simon Krause
Logistics (2022) Vol. 6, Iss. 3, pp. 63-63
Open Access | Times Cited: 19
DESCINet: A hierarchical deep convolutional neural network with skip connection for long time series forecasting
André Quintiliano Bezerra Silva, Wesley Nunes Gonçalves, Edson Takashi Matsubara
Expert Systems with Applications (2023) Vol. 228, pp. 120246-120246
Closed Access | Times Cited: 12
The impact of multiagent systems on autonomous production and supply chain networks: use cases, barriers and contributions to logistics network resilience
Benjamin Nitsche, Jonas Brands, Horst Treiblmaier, et al.
Supply Chain Management An International Journal (2023) Vol. 28, Iss. 5, pp. 894-908
Closed Access | Times Cited: 11
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