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:

Hybrid intelligence in procurement: Disillusionment with AI’s superiority?
Markus Bürger, Anna-Maria Nitsche, Julia C. Arlinghaus
Computers in Industry (2023) Vol. 150, pp. 103946-103946
Closed Access | Times Cited: 17

Showing 17 citing articles:

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
Sidra Nasir, Rizwan Ahmed Khan, Samita Bai
IEEE Access (2024) Vol. 12, pp. 31014-31035
Open Access | Times Cited: 30

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

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes
Areej Althabatah, Mohammed Yaqot, Brenno C. Menezes, et al.
Logistics (2023) Vol. 7, Iss. 3, pp. 63-63
Open Access | Times Cited: 33

Integrating Ideal Characteristics of Chat-GPT Mechanisms into the Metaverse: Knowledge, Transparency, and Ethics
Abbas Gatea Atiyah, NimetAllah Nasser Faris, Gadaf Rexhepi, et al.
Lecture notes in networks and systems (2023), pp. 131-141
Closed Access | Times Cited: 21

A hybrid multi-criteria decision-making and machine learning approach for explainable supplier selection
Ahmad Abdulla, George Baryannis
Supply Chain Analytics (2024) Vol. 7, pp. 100074-100074
Open Access | Times Cited: 10

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

AI meets Spend Classification: a new frontier in Information Processing
Michela Guida, Federico Caniato, Antonella Moretto
Journal of Purchasing and Supply Management (2025), pp. 100993-100993
Open Access

Emerging Technologies Revolutionising Public Procurement: Insights from Comprehensive Bibliometric Analysis
Mavidis Aristotelis, Dimitris Folinas, Dimitrios Skiadas, et al.
Administrative Sciences (2024) Vol. 14, Iss. 2, pp. 23-23
Open Access | Times Cited: 2

Designing an AI purchasing requisition bundling generator
Jan Martin Spreitzenbarth, Christoph Bode, Heiner Stuckenschmidt
Computers in Industry (2023) Vol. 155, pp. 104043-104043
Closed Access | Times Cited: 3

A context-aware decision support system for selecting explainable artificial intelligence methods in business organizations
Marcelo Índio dos Reis, João N.C. Gonçalves, Paulo Cortez, et al.
Computers in Industry (2024) Vol. 165, pp. 104233-104233
Closed Access

Digital Twins and their Implications for Business Models: Overview and Potentials
Rodrigo Torres Adelsberger, Oliver Antons, Julia C. Arlinghaus
IFAC-PapersOnLine (2024) Vol. 58, Iss. 19, pp. 409-414
Open Access

Using Artificial Intelligence for Competitive Procurements: Legal Regulation Issues
D. A. Kazantsev, P. Dohnal, Pavel DOHNAL
Journal of Digital Technologies and Law (2024) Vol. 2, Iss. 3, pp. 585-610
Open Access

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
Sidra Nasir, Rizwan Ahmed Khan, Samita Bai
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1

ARTIFICIAL INTELLIGENCE (AI) IN E-PROCUREMENT: A LITERATURE REVIEW
Harald Konnerth
Journal of International Scientific Publications : Economy & Business/Economy & Business (2023) Vol. 17, Iss. 1, pp. 98-113
Open Access

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