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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:

Diversity in sociotechnical machine learning systems
Sina Fazelpour, Maria De‐Arteaga
Big Data & Society (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer, Maria De‐Arteaga, Niklas Kühl
(2024), pp. 1-18
Open Access | Times Cited: 20
The Illusion of Artificial Inclusion
William S. Agnew, A. S. Bergman, Jennifer Chien, et al.
(2024), pp. 1-12
Open Access | Times Cited: 16
The possibilities and limits of XAI in education: a socio-technical perspective
Robert Farrow
Learning Media and Technology (2023) Vol. 48, Iss. 2, pp. 266-279
Open Access | Times Cited: 32
A hunt for the Snark: Annotator Diversity in Data Practices
Shivani Kapania, Alex Taylor, Ding Wang
(2023), pp. 1-15
Open Access | Times Cited: 26
A feeling for the algorithm: Diversity, expertise, and artificial intelligence
Catherine Stinson, Sofie Vlaad
Big Data & Society (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
Participatory modeling for collaborative landscape and environmental planning: From potential to realization
Moira Zellner
Landscape and Urban Planning (2024) Vol. 247, pp. 105063-105063
Open Access | Times Cited: 6
Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI
Anne de Hond, Marieke van Buchem, Tina Hernandez‐Boussard
Journal of the American Medical Informatics Association (2022) Vol. 29, Iss. 12, pp. 2178-2181
Open Access | Times Cited: 28
FATE in AI: Towards Algorithmic Inclusivity and Accessibility
Isa Inuwa-Dutse
(2023), pp. 1-14
Open Access | Times Cited: 12
Security practices in AI development
Petr Špelda, Vít Střítecký
AI & Society (2025)
Open Access
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms
Terrence Neumann, Maria De‐Arteaga, Sina Fazelpour
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1504-1515
Open Access | Times Cited: 16
Data Representativeness in Accessibility Datasets: A Meta-Analysis
Rie Kamikubo, Lining Wang, Crystal Marte, et al.
(2022), pp. 1-15
Open Access | Times Cited: 16
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness
Nina Grgić-Hlača, Gabriel Lima, Adrian Weller, et al.
(2022), pp. 1-12
Open Access | Times Cited: 15
Trustworthy AI and the Logics of Intersectional Resistance
Bran Knowles, Jasmine Fledderjohann, John T. Richards, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 172-182
Open Access | Times Cited: 8
Metarobotics for Industry and Society: Vision, Technologies, and Opportunities
Eric Guiffo Kaigom
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 4, pp. 5725-5736
Open Access | Times Cited: 8
"This means nothing to me": Building credibility in conversational systems
Heloísa Candello, Gabriel Meneguelli Soella, Cassia Sampaio Sanctos, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems
Sanne Vrijenhoek, Savvina Daniil, Jorden Sandel, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 31, pp. 573-584
Open Access | Times Cited: 1
Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part I)
Donatello Materassi, Sean Warnick, Cristian Rojas, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 15, pp. 492-496
Open Access | Times Cited: 1
Does AI-Assisted Fact-Checking Disproportionately Benefit Majority Groups Online?
Terrence S. Neumann, Nicholas Wolczynski
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 480-490
Open Access | Times Cited: 3
When More Data Lead Us Astray: Active Data Acquisition in the Presence of Label Bias
Yunyi Li, Maria De‐Arteaga, Maytal Saar‐Tsechansky
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (2022) Vol. 10, Iss. 1, pp. 133-146
Open Access | Times Cited: 3
The illusion of artificial inclusion
William S. Agnew, A. S. Bergman, Jennifer Chien, et al.
arXiv (Cornell University) (2024)
Open Access
Human-AI Teaming: Following the IMOI Framework
Styliani Kleanthous
Lecture notes in computer science (2024), pp. 387-406
Closed Access
Designing multi-model conversational AI financial systems: understanding sensitive values of women entrepreneurs in Brazil
Heloísa Candello, Gabriel Meneguelli Soella, Leandro de Carvalho Nascimento
(2024), pp. 11-18
Open Access
Application of eXplainable AI and causal inference methods to estimation algorithms in networks of dynamic systems
Darya Biparva, Donatello Materassi
2022 American Control Conference (ACC) (2023) Vol. 69, pp. 1889-1894
Closed Access | Times Cited: 1
Interpretation of Explainable AI Methods as Identification of Local Linearized Models
Darya Biparva, Donatello Materassi
IFAC-PapersOnLine (2023) Vol. 56, Iss. 2, pp. 2383-2388
Open Access | Times Cited: 1
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer, Maria De‐Arteaga, Niklas Kuehl
arXiv (Cornell University) (2022)
Open Access | Times Cited: 2
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