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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:

From AI ethics principles to data science practice: a reflection and a gap analysis based on recent frameworks and practical experience
Ilina Georgieva, Claudio Lazo, Tjerk Timan, et al.
AI and Ethics (2022) Vol. 2, Iss. 4, pp. 697-711
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Defining organizational AI governance
Matti Mäntymäki, Matti Minkkinen, Teemu Birkstedt, et al.
AI and Ethics (2022) Vol. 2, Iss. 4, pp. 603-609
Open Access | Times Cited: 111
What is Human-Centered about Human-Centered AI? A Map of the Research Landscape
Tara Capel, Margot Brereton
(2023), pp. 1-23
Open Access | Times Cited: 79
Artificial Intelligence for Surface‐Enhanced Raman Spectroscopy
Xinyuan Bi, Li Lin, Zhou Chen, et al.
Small Methods (2023) Vol. 8, Iss. 1
Closed Access | Times Cited: 47
Ethical AI in practice: Balancing technological advancements with human values
Benjamin Samson Ayinla, Olukunle Oladipupo Amoo, Akoh Atadoga, et al.
International Journal of Science and Research Archive (2024) Vol. 11, Iss. 1, pp. 1311-1326
Open Access | Times Cited: 34
Ethical governance of artificial intelligence for defence: normative tradeoffs for principle to practice guidance
Alexander Blanchard, Christopher E. Thomas, Mariarosaria Taddeo
AI & Society (2024)
Open Access | Times Cited: 18
From AI Ethics Principles to Practices: A Teleological Methodology to Apply AI Ethics Principles in The Defence Domain
Mariarosaria Taddeo, Alexander Blanchard, Christopher E. Thomas
Philosophy & Technology (2024) Vol. 37, Iss. 1
Open Access | Times Cited: 17
Technological support to foster students’ artificial intelligence ethics: An augmented reality-based contextualized dilemma discussion approach
Xiao‐Fan Lin, Zhaoyang Wang, Wei Zhou, et al.
Computers & Education (2023) Vol. 201, pp. 104813-104813
Closed Access | Times Cited: 29
Exploring the Concept of Explainable AI and Developing Information Governance Standards for Enhancing Trust and Transparency in Handling Customer Data
Omobolaji Olufunmilayo Olateju, Samuel Ufom Okon, Oluwaseun Oladeji Olaniyi, et al.
Journal of Engineering Research and Reports (2024) Vol. 26, Iss. 7, pp. 244-268
Open Access | Times Cited: 14
Principles and Frameworks
Subash Banala, Pawan Whig
Advances in human and social aspects of technology book series (2024), pp. 1-22
Closed Access | Times Cited: 13
TACKLING ECONOMIC INEQUALITIES THROUGH BUSINESS ANALYTICS: A LITERATURE REVIEW
Ejuma Martha Adaga, Zainab Efe Egieya, Sarah Kuzankah Ewuga, et al.
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 1, pp. 60-80
Open Access | Times Cited: 9
A study on ethical implications of artificial intelligence adoption in business: challenges and best practices
Moinak Maiti, Parthajit Kayal, Aleksandra Vujko
Future Business Journal (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem
Luca Nannini, José M. Alonso, Alejandro Català, et al.
IEEE Intelligent Systems (2024) Vol. 39, Iss. 4, pp. 37-48
Open Access | Times Cited: 6
Multidimensional Perspective to Data Preprocessing for Model Cognition Verity
Simeon Okechukwu Ajakwe, Opeyemi Deji-Oloruntoba, Samuel Oluwadamilare Olatunbosun, et al.
Advances in systems analysis, software engineering, and high performance computing book series (2024), pp. 15-57
Closed Access | Times Cited: 5
Exploring the Concept of Explainable AI and Developing Information Governance Standards for Enhancing Trust and Transparency in Handling Customer Data
Omobolaji Olufunmilayo Olateju, Samuel Ufom Okon, Oluwaseun Oladeji Olaniyi, et al.
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 5
The ethical implications of Chatbot developments for conservation expertise
Zarrin Tasnim Sworna, Danilo Urzedo, Andrew J. Hoskins, et al.
AI and Ethics (2024) Vol. 4, Iss. 4, pp. 917-926
Open Access | Times Cited: 4
AI, Ethics and Philosophy

Cambridge University Press eBooks (2025), pp. 15-130
Closed Access
Ethics of AI
Stefan Buijsman, Michael Klenk, Jeroen van den Hoven
Cambridge University Press eBooks (2025), pp. 59-78
Closed Access
Ethical AI in Social Sciences Research: Are We Gatekeepers or Revolutionaries?
Remus Runcan, Vasile-Petru Hațegan, Ovidiu Florin Toderici, et al.
Societies (2025) Vol. 15, Iss. 3, pp. 62-62
Open Access
Artificial Intelligence and Data Analytics for Structural Health Monitoring: A Review of Recent Developments
Shrikant M. Harle, Amol P. Bhagat, Rahul S. Ingole, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
Addressing trade-offs in co-designing principles for ethical AI: perspectives from an industry-academia collaboration
Amelia Katirai, Yusuke Nagato
AI and Ethics (2024)
Open Access | Times Cited: 3
AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities
Chuhao Wu, H. Zhang, John M. Carroll
Future Internet (2024) Vol. 16, Iss. 10, pp. 354-354
Open Access | Times Cited: 3
The Ethics of Artificial Intelligence in Defence
Mariarosaria Taddeo
Oxford University Press eBooks (2024)
Closed Access | Times Cited: 3
From Trustworthy Principles to a Trustworthy Development Process: The Need and Elements of Trusted Development of AI Systems
Ellen Hohma, Christoph Lütge
AI (2023) Vol. 4, Iss. 4, pp. 904-926
Open Access | Times Cited: 7
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams
Vanessa Aisyahsari Hanschke, Dylan Rees, Merve Alanyali, et al.
(2024), pp. 1-17
Open Access | Times Cited: 2
Enhancing Human-Computer Interaction in Socially Inclusive Contexts: Flow Heuristics and AI Systems in Compliance with DIN EN ISO 9241 Standards
Giovanni Vindigni
European Journal of Contemporary Education and E-Learning (2024) Vol. 2, Iss. 4, pp. 115-139
Open Access | Times Cited: 2
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