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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:

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Ben Hutchinson, Andrew Smart, Alex Hanna, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
Jesse Dodge, Maarten Sap, Ana Marasović, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 153
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development
Morgan Klaus Scheuerman, Alex Hanna, Emily Denton
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW2, pp. 1-37
Open Access | Times Cited: 148
Power to the People? Opportunities and Challenges for Participatory AI
Abeba Birhane, William M. Isaac, Vinodkumar Prabhakaran, et al.
(2022), pp. 1-8
Open Access | Times Cited: 123
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text
Sebastian Gehrmann, Elizabeth A. Clark, Thibault Sellam
Journal of Artificial Intelligence Research (2023) Vol. 77, pp. 103-166
Open Access | Times Cited: 70
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper, Emanuel Moss, Benjamin Laufer, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 864-876
Open Access | Times Cited: 69
Algorithmic fairness datasets: the story so far
Alessandro Fabris, S. Messina, Gianmaria Silvello, et al.
Data Mining and Knowledge Discovery (2022) Vol. 36, Iss. 6, pp. 2074-2152
Open Access | Times Cited: 54
Understanding accountability in algorithmic supply chains
Jennifer Cobbe, Michael Veale, Jatinder Singh
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1186-1197
Open Access | Times Cited: 35
Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation
Angie Zhang, Olympia Walker, Kaci Nguyen, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW1, pp. 1-32
Open Access | Times Cited: 28
Reclaiming the Digital Commons: A Public Data Trust for Training Data
Alan Chan, Herbie Bradley, Nitarshan Rajkumar
(2023), pp. 855-868
Open Access | Times Cited: 14
Understanding Accountability in Algorithmic Supply Chains
Jennifer Cobbe, Michael Veale, Jatinder Singh
(2023)
Open Access | Times Cited: 13
Challenges of Software Requirements Quality Assurance and Validation: A Systematic Literature Review
Issa Atoum, Mahmoud Baklizi, Izzat Alsmadi, et al.
IEEE Access (2021) Vol. 9, pp. 137613-137634
Open Access | Times Cited: 29
The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, et al.
(2022), pp. 335-348
Open Access | Times Cited: 22
Analyzing Dataset Annotation Quality Management in the Wild
Jan-Christoph Klie, Richard Eckart de Castilho, Iryna Gurevych
Computational Linguistics (2024), pp. 1-50
Open Access | Times Cited: 4
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
Md. Tanzıb HOSAİN, Mehedi Hasan ANİK, S. Rafi, et al.
Journal of Metaverse (2023) Vol. 3, Iss. 2, pp. 166-180
Open Access | Times Cited: 10
Deep social neuroscience: the promise and peril of using artificial neural networks to study the social brain
Beau Sievers, Mark Thornton
Social Cognitive and Affective Neuroscience (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 3
Optimization’s Neglected Normative Commitments
Benjamin Laufer, Thomas Krendl Gilbert, Helen Nissenbaum
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 50-63
Open Access | Times Cited: 4
Theory and practice in secure software development lifecycle: A comprehensive survey
Martin Otieno, David Odera, Jairus Ekume Ounza
World Journal of Advanced Research and Reviews (2023) Vol. 18, Iss. 3, pp. 053-078
Open Access | Times Cited: 4
A Matrix for Selecting Responsible AI Frameworks
Mina Narayanan, Christian Schoeberl
(2023)
Open Access | Times Cited: 4
Using Model Cards for ethical reflection on machine learning models: an interview-based study
José Luiz Nunes, Gabriel Diniz Junqueira Barbosa, Clarisse Sieckenius de Souza, et al.
Journal on Interactive Systems (2024) Vol. 15, Iss. 1, pp. 1-19
Open Access | Times Cited: 1
Proceedings of the 2024 IEEE/ACM 17th International Conference on Cooperative and Human Aspects of Software Engineering

(2024)
Open Access | Times Cited: 1
Developing a transit desert interactive dashboard: Supervised modeling for forecasting transit deserts
Seung Jun Choi, Junfeng Jiao
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0306782-e0306782
Open Access | Times Cited: 1
Synthetic data for visual machine learning : A data-centric approach
Apostolia Tsirikoglou
Linköping studies in science and technology. Dissertations (2022)
Open Access | Times Cited: 7
Git Workflow for Active Learning: A Development Methodology Proposal for Data-Centric AI Projects
Fabian Stieler, Bernhard Bauer
(2023), pp. 202-213
Open Access | Times Cited: 3
Deep social neuroscience: The promise and peril of using artificial neural networks to study the social brain
Beau Sievers, Mark Thornton
(2023)
Open Access | Times Cited: 3
A comprehensive dataset for aspect-based sentiment analysis in evaluating teacher performance
Abhijit Bhowmik, Noorhuzaimi Mohd Noor, M. Saef Ullah Miah, et al.
AIUB Journal of Science and Engineering (AJSE) (2023) Vol. 22, Iss. 2, pp. 200-213
Open Access | Times Cited: 3
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