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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:

Artificial neural networks for intelligent cost estimation – a contribution to strategic cost management in the manufacturing supply chain
Frank Bodendorf, Philipp Merkl, Jörg Franke
International Journal of Production Research (2021) Vol. 60, Iss. 21, pp. 6637-6658
Closed Access | Times Cited: 25

Showing 25 citing articles:

Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research
Hamed Jahani, Richa Jain, Dmitry Ivanov
Annals of Operations Research (2023)
Open Access | Times Cited: 72
Artificial intelligence and machine learning in purchasing and supply management: A mixed-methods review of the state-of-the-art in literature and practice
Jan Martin Spreitzenbarth, Christoph Bode, Heiner Stuckenschmidt
Journal of Purchasing and Supply Management (2024) Vol. 30, Iss. 1, pp. 100896-100896
Open Access | Times Cited: 16
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: 36
Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions
Giovanna Culot, Matteo Podrecca, Guido Nassimbeni
Computers in Industry (2024) Vol. 162, pp. 104132-104132
Open Access | Times Cited: 7
A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications
Dieudonné Tchuente, Jerry Lonlac, Bernard Kamsu-Foguem
Computers in Industry (2023) Vol. 155, pp. 104044-104044
Open Access | Times Cited: 20
AI adoption in supply chain management: a systematic literature review
Gulnaz Shahzadi, Fu Jia, Lujie Chen, et al.
Journal of Manufacturing Technology Management (2024) Vol. 35, Iss. 6, pp. 1125-1150
Closed Access | Times Cited: 5
A multi-perspective approach to support collaborative cost management in supplier-buyer dyads
Frank Bodendorf, Qiao Ling Xie, Philipp Merkl, et al.
International Journal of Production Economics (2021) Vol. 245, pp. 108380-108380
Closed Access | Times Cited: 21
A Data-Driven Approach to Predict Supply Chain Risk Due to Suppliers’ Partial Shipments
Matteo Gabellini, Francesca Calabrese, Lorenzo Civolani, et al.
Smart innovation, systems and technologies (2024), pp. 227-237
Closed Access | Times Cited: 2
Examining the dynamics of bargaining power in buyer-supplier negotiations: insights from a case study in the German automotive industry
Frank Bodendorf, Jörg Franke
International Journal of Production Research (2024) Vol. 62, Iss. 16, pp. 5828-5849
Closed Access | Times Cited: 1
How do joint ventures and non-equity strategic alliances impact the complexity of the supply chain and thus supply chain performance?
Frank Bodendorf, Sebastian Feilner, Jörg Franke
Supply Chain Management An International Journal (2024) Vol. 29, Iss. 4, pp. 685-705
Closed Access | Times Cited: 1
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
Evaluation of E-commerce Supply Chain Cost Management Based on Big Data Intelligent Platform Processing
Shaoni Chen, C. Sapna Kumari
Lecture notes on data engineering and communications technologies (2024), pp. 253-264
Closed Access | Times Cited: 1
Synthesis of activity-based costing and deep learning to support cost management: A case study in the automotive industry
Frank Bodendorf, Jörg Franke
Computers & Industrial Engineering (2024) Vol. 196, pp. 110449-110449
Closed Access | Times Cited: 1
Multi-perspective analysis of monetary effects of information sharing between supply chain partners
Frank Bodendorf, Jörg Franke
Industrial Marketing Management (2022) Vol. 104, pp. 400-415
Closed Access | Times Cited: 8
Discovering supply chain operation towards sustainability using machine learning and DES techniques: a case study in Vietnam seafood
Luan Thanh Le, Trang Xuan-Thi-Thu
Maritime Business Review (2024) Vol. 9, Iss. 3, pp. 243-262
Open Access | Times Cited: 1
An automated machine learning approach for classifying infrastructure cost data
Daniel Adanza Dopazo, Lamine Mahdjoubi, Bill Gething, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 7, pp. 1061-1076
Open Access | Times Cited: 2
Information Asymmetry in Business-to-Business Negotiations: A Game Theoretical Approach to Support Purchasing Decisions with Suppliers
Frank Bodendorf, Barbara Hollweck, Jörg Franke
Group Decision and Negotiation (2022) Vol. 31, Iss. 4, pp. 723-745
Open Access | Times Cited: 4
A novel approach for predicting Lockout/Tagout safety procedures for smart maintenance strategies
Victor Delpla, Kévin Chapron, Jean‐Pierre Kenné, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 13, pp. 4754-4775
Closed Access | Times Cited: 2
Effective Decentralized Production Planning in Large Scale Manufacturing Networks
Dominik Zehetner, Margaretha Gansterer
(2024)
Closed Access
Digital technology adoption and the latecomer firms’ catch-up: an empirical study on Chinese manufacturing enterprises
Meifang Li, Z. Zhang
Technology Analysis and Strategic Management (2024), pp. 1-15
Closed Access
The interplay of intelligent manufacturing, innovation equilibrium and cost stickiness in the artificial intelligence era
Fang Wang, Qiang Li, Hong Chen
Systems Research and Behavioral Science (2024)
Closed Access
On the use of machine learning in supply chain management: a systematic review
M. Zied Babaï, Marios Arampatzis, Marwa Hasni, et al.
IMA Journal of Management Mathematics (2024)
Closed Access
Application of machine learning techniques for cost estimation of engineer to order products
Mario Rapaccini, Veronica Loew Cadonna, Leonardo Leoni, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 20, pp. 6978-7000
Closed Access | Times Cited: 2
Hybrid deep learning cost evaluation using CNN with ANN for the plastic injection industry
Athakorn Kengpol, Pornthip Tabkosai
Neural Computing and Applications (2023) Vol. 35, Iss. 31, pp. 23153-23175
Closed Access
Matching Corporate Software Engineers and Data Offerings - from Discovery to Recommendations
Benedikt Martens, Jörg Franke
(2022), pp. 1-6
Closed Access
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