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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:

Enhancing supply chain resilience: A machine learning approach for predicting product availability dates under disruption
Mustafa Can Camur, Sandipp Krishnan Ravi, Shadi Saleh
Expert Systems with Applications (2024) Vol. 247, pp. 123226-123226
Open Access | Times Cited: 19

Showing 19 citing articles:

Additive Manufacturing Modification by Artificial Intelligence, Machine Learning, and Deep Learning: A Review
Mohsen Soori, Fooad Karımı Ghaleh Jough, Roza Dastres, et al.
Deleted Journal (2025), pp. 200198-200198
Open Access | Times Cited: 2
Enhancing supply chain resilience through supervised machine learning: supplier performance analysis and risk profiling for a multi-class classification problem
Parminder Singh Kang, Bhawna Bhawna
Business Process Management Journal (2025)
Closed Access | Times Cited: 1
A comprehensive methodology combining machine learning and unified robust stochastic programming for medical supply chain viability
Ömer Faruk Yılmaz, Yongpei Guan, Beren Gürsoy Yılmaz, et al.
Omega (2024), pp. 103264-103264
Closed Access | Times Cited: 4
Leveraging synthetic data to tackle machine learning challenges in supply chains: challenges, methods, applications, and research opportunities
Y. F. Long, Sebastian Kroeger, Michael F. Zaeh, et al.
International Journal of Production Research (2025), pp. 1-22
Open Access
Critical success and failure factors in the AI lifecycle: a knowledge graph-based ontological study
Xinyue Hao, Emrah Demir, Daniel Eyers
Journal of Modelling in Management (2025)
Closed Access
Big Data and AI for Smart Maintenance: Literature review on the impact on plants Resilience
Marco Mosca, Roberto Mosca, Mattia Braggio
Procedia Computer Science (2025) Vol. 253, pp. 1959-1971
Open Access
Machine Learning and Artificial Intelligence Methods and Applications for Post-Crisis Supply Chain Resiliency and Recovery
G. Sakthi Balan, V. Santhosh Kumar, S. Aravind Raj
Supply Chain Analytics (2025), pp. 100121-100121
Open Access
Leveraging deep learning for risk prediction and resilience in supply chains: insights from critical industries
Waleed Abdu Zogaan, Nouran Ajabnoor, Abdullah Ali Salamai
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Enhancing Supply Chain Management Efficiency: A Data-Driven Approach using Predictive Analytics and Machine Learning Algorithms
Shamrao Parashram Ghodake, Vinod Ramchandra Malkar, Kathari Santosh, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 3
Cervical Cancer Perceived Risk Factors Behavior Using Logistic Regression Technique
Aya Haraz, I.M. Elzein, A. Chamseddine, et al.
(2024)
Open Access | Times Cited: 2
Machine Learning for Anomaly Detection in Electric Transportation Networks
Kseniia Iurevna Usanova, Gongada Sandhya Rani, Neeti Mishra, et al.
E3S Web of Conferences (2024) Vol. 511, pp. 01039-01039
Open Access | Times Cited: 2
Sustainability as a Resilience Factor in the Agri-Food Supply Chain
Núria Arimany Serrat, Oriol Montanyà Vilalta, José Oriol Amat Salas
Sustainability (2024) Vol. 16, Iss. 16, pp. 7162-7162
Open Access | Times Cited: 2
An optimization framework for efficient and sustainable logistics operations via transportation mode optimization and shipment consolidation: A case study for GE Gas Power
Mustafa Can Camur, Srinivas Bollapragada, Aristotelis E. Thanos, et al.
Expert Systems with Applications (2024) Vol. 253, pp. 124304-124304
Open Access | Times Cited: 1
An Optimization Framework for Efficient and Sustainable Logistics Operations Via Transportation Mode Optimization and Shipment Consolidation: A Case Study for Ge Gas Power
Mustafa Can Camur, Srinivas Bollapragada, Aristotelis E. Thanos, et al.
(2023)
Open Access | Times Cited: 3
A Machine Learning-Based Model to Configure a Resilient Circular Supply Chain Network Based on the Industry 4.0 Dimensions: A Case Study
Mahsa Ebrahim Poorsabet, Ali Shahabi
(2024)
Closed Access
Optimizing e-Commerce Supply Chains With Categorical Boosting: A Predictive Modeling Framework
Javed Sayyad, Khush Attarde, Nasreddine Saadouli
IEEE Access (2024) Vol. 12, pp. 134549-134567
Open Access
Assessing AI adoption for enhancing healthcare supply chain resilience: A novel hybrid interval-valued q-rung orthopair fuzzy MCDM
Huzhi Xue, Haihua Xie, Carl K. Chang
(2024), pp. 50-57
Closed Access
Artificial intelligence’s impact on drug delivery in healthcare supply chain management: data, techniques, analysis, and managerial implications
Ibrahim M. Hezam, Ahmed Ali, Ahmad M. Alshamrani, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access
Designing a resilient humanitarian supply chain by considering viability under uncertainty: A machine learning embedded approach
Ömer Faruk Yılmaz, Yongpei Guan, Beren Gürsoy Yılmaz
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 194, pp. 103943-103943
Closed Access
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