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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 decision support system for classifying supplier selection criteria using machine learning and random forest approach
Md. Ramjan Ali, Shah Md Ashiquzzaman Nipu, Sharfuddin Ahmed Khan
Decision Analytics Journal (2023) Vol. 7, pp. 100238-100238
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Enhancing Supply Chain Management with Deep Learning and Machine Learning Techniques: A Review
Ahmed M. Khedr, Sheeja Rani S
Journal of Open Innovation Technology Market and Complexity (2024), pp. 100379-100379
Open Access | Times Cited: 15
State of charge estimation for electric vehicles using random forest
Mohd Herwan Sulaiman, Zuriani Mustaffa
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 5, pp. 100177-100177
Open Access | Times Cited: 11
An integrated machine learning and MARCOS method for supplier evaluation and selection
Ahmad Abdulla, George Baryannis, Ibrahim Badi
Decision Analytics Journal (2023) Vol. 9, pp. 100342-100342
Open Access | Times Cited: 18
A comparative analysis of Multi-Attributive Border Approximation Area Comparison (MABAC) model for healthcare supplier selection in fuzzy environments
Santonab Chakraborty, Rakesh D. Raut, T. M. Rofin, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100290-100290
Open Access | Times Cited: 16
Sustainable supply chain decision-making in the automotive industry: A data-driven approach
Hanieh Zareian Beinabadi, Vahid Baradaran, Alireza Rashidi Komijan
Socio-Economic Planning Sciences (2024) Vol. 95, pp. 101908-101908
Closed Access | Times Cited: 6
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
A systematic review of machine learning applications in sustainable supplier selection
Joachim Osheyor Gidiagba, Lagouge K. Tartibu, Modestus O. Okwu
Decision Analytics Journal (2025), pp. 100547-100547
Open Access
“Pharma’s secret weapon”: unleashing supply chain potential through supplier relationship management practices
Percy Mafanele, Eugine Tafadzwa Maziriri, Alfred Mojalefa Masakale, et al.
Benchmarking An International Journal (2025)
Closed Access
Multi-criteria Inventory Classification with Machine Learning Algorithms in the Manufacturing Industry
Özge Albayrak Ünal, Burak Erkayman
Communications in computer and information science (2025), pp. 86-103
Closed Access
Optimizing infrastructure procurement: a predictive model for procurement delivery method selection in New Zealand context
Tirth Patel, Eric Scheepbouwer, Jacobus Daniel van der Walt
International Journal of Construction Management (2025), pp. 1-13
Closed Access
Artificial Intelligence for Smart Supply Chain Management: Opportunities and Challenges
Md. Ramjan Ali, Shah Md Ashiquzzaman Nipu
(2025), pp. 13-27
Closed Access
An LSTM-based decision-making model for predictive manufacturing performance optimization
Hala Mellouli, Anwar Meddaoui, Abdelhamid Zaki, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
A Novel Machine Learning Framework for Optimized Supplier Selection Using the Weights by ENvelope and SLOpe (WENSLO) Technique
S. Subramanian, P. Pitchipoo, S. Rajakarunakaran, et al.
(2025) Vol. 1, Iss. 1, pp. 1-10
Open Access
Cross-Sector Application of Machine Learning in Telecommunications: Enhancing Customer Retention Through Comparative Analysis of Ensemble Methods
Mohammad Afzal, Shanur Rahman, Disha Singh, et al.
IEEE Access (2024) Vol. 12, pp. 115256-115267
Open Access | Times Cited: 3
Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection
Pasura Aungkulanon, Walailak Atthirawong, Pongchanun Luangpaiboon, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1598-1598
Open Access | Times Cited: 2
MediGPT: Exploring Potentials of Conventional and Large Language Models on Medical Data
Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Tipu Sultan, et al.
IEEE Access (2024) Vol. 12, pp. 103473-103487
Open Access | Times Cited: 2
Applications of Machine Learning in Supply Chain Management—A Review
Thejasree Pasupuleti, M. Nagarajan, K. E. K. Vimal, et al.
Environmental footprints and eco-design of products and processes (2023), pp. 73-82
Closed Access | Times Cited: 6
Criteria system construction for sustainable supplier selection: A product-category-oriented intelligent model
Chong Wu, Yiqun Jia, David Barnes
Applied Soft Computing (2023) Vol. 145, pp. 110586-110586
Closed Access | Times Cited: 5
Integration of machine learning in the supply chain for decision making: A systematic literature review
Sonia Polo-Triana, Juan Camilo Gutiérrez, Juan León-Becerra
Journal of Industrial Engineering and Management (2024) Vol. 17, Iss. 2, pp. 344-344
Open Access | Times Cited: 1
A Hybrid method of SWARA and ARAS for ranking of supplier: A case study at PT.Adi Satria Abadi (PT.ASA)
Agus Ristono, Tri Wahyuningsih, Gunawan Madyono Putro
OPSI (2024) Vol. 17, Iss. 1, pp. 1-1
Open Access | Times Cited: 1
Manufacturing system reconfiguration towards sustainable production: a novel hybrid optimization methodology
Reda Nujoom, Ahmed Mohammed, Ali Diabat
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 51, pp. 110687-110714
Closed Access | Times Cited: 4
Multi-criteria decision making beyond consistency: An alternative to AHP for real-world industrial problems
Silvia Carpitella, Václav Kratochví­l, Miroslav Pištěk
Computers & Industrial Engineering (2024), pp. 110661-110661
Open Access | Times Cited: 1
Improving Supplier Evaluation Model using Ensemble Method-Machine Learning for Food Industry
Muhammad Asrol, Sofyan Wahyudi, Suharjito Suharjito, et al.
Procedia Computer Science (2023) Vol. 227, pp. 307-315
Open Access | Times Cited: 3
Study on the Regeneration Probability of Understory Coniferous Saplings in the Liangshui Nature Reserve Based on Four Modeling Techniques
Haiping Zhao, Yuman Sun, Weiwei Jia, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4869-4869
Open Access | Times Cited: 2
OPTIMIZING HEART ATTACK DIAGNOSIS USING RANDOM FOREST WITH BAT ALGORITHM AND GREEDY CROSSOVER TECHNIQUE
Safrizal Ardana Ardiyansa, Natasha Clarissa Maharani, Syaiful Anam, et al.
BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (2024) Vol. 18, Iss. 2, pp. 1053-1066
Open Access
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