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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:

Impact of Imputation Strategies on Fairness in Machine Learning
Simon Caton, Saiteja Malisetty, Christian Haas
Journal of Artificial Intelligence Research (2022) Vol. 74, pp. 1011-1035
Open Access | Times Cited: 19

Showing 19 citing articles:

Fairness in Machine Learning: A Survey
Simon Caton, Christian Haas
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-38
Open Access | Times Cited: 189
Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management
Vikram Pasupuleti, Bharadwaj Thuraka, Chandra Shikhi Kodete, et al.
Logistics (2024) Vol. 8, Iss. 3, pp. 73-73
Open Access | Times Cited: 31
Policy advice and best practices on bias and fairness in AI
José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, et al.
Ethics and Information Technology (2024) Vol. 26, Iss. 2
Open Access | Times Cited: 17
Fairness Testing: A Comprehensive Survey and Analysis of Trends
Zhenpeng Chen, Jie M. Zhang, Max Hort, et al.
ACM Transactions on Software Engineering and Methodology (2024) Vol. 33, Iss. 5, pp. 1-59
Open Access | Times Cited: 9
Tracking-removed neural network with graph information for classification of incomplete data
Xiaochen Lai, Zheng Zhang, Hui Chen, et al.
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
A Comparison of Bias Mitigation Techniques for Educational Classification Tasks Using Supervised Machine Learning
Tarid Wongvorachan, Okan Bulut, Joyce Xinle Liu, et al.
Information (2024) Vol. 15, Iss. 6, pp. 326-326
Open Access | Times Cited: 2
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions
Jan Simson, Florian Pfisterer, Christoph Kern
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 1305-1320
Open Access | Times Cited: 2
Fairness in Forecasting of Observations of Linear Dynamical Systems
Quan Zhou, Jakub Mareček, Robert Shorten
Journal of Artificial Intelligence Research (2023) Vol. 76, pp. 1247-1280
Open Access | Times Cited: 4
Can We Trust Fair-AI?
Salvatore Ruggieri, José M. Álvarez, Andrea Pugnana, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 13, pp. 15421-15430
Open Access | Times Cited: 4
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes
Christoph Kern, Ruben L. Bach, Hannah Mautner, et al.
ACM Journal on Responsible Computing (2024) Vol. 1, Iss. 4, pp. 1-30
Open Access | Times Cited: 1
Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production
Patrick Oliver Schenk, Christoph Kern
AStA Wirtschafts- und Sozialstatistisches Archiv (2024) Vol. 18, Iss. 2, pp. 131-184
Open Access | Times Cited: 1
Automated Data Cleaning Can Hurt Fairness in Machine Learning-based Decision Making
Shubha Guha, Falaah Arif Khan, Julia Stoyanovich, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7368-7379
Closed Access
Theoretical Preconditions of Criminal Imputation for Negligence Crime Involving AI
Shuhong Zhao
(2024), pp. 25-57
Closed Access
Framework for Bias Detection in Machine Learning Models: A Fairness Approach
Alveiro Alonso Rosado Gómez, Liliana Calderón-Benavides
(2024), pp. 1152-1154
Closed Access
Mineralogical Characteristics of Greywackes at Lake Bosomtwe Area in the Ashanti Region of Ghana
Jamal Osumanu, Blestmond A. Brako, Obed Kweku Yalley, et al.
European Journal of Environment and Earth Sciences (2024) Vol. 5, Iss. 2, pp. 23-30
Open Access
Automated Data Cleaning Can Hurt Fairness in Machine Learning-based Decision Making
Shubha Guha, Falaah Arif Khan, Julia Stoyanovich, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 3747-3754
Closed Access | Times Cited: 1
MISNN: Multiple Imputation via Semi-parametric Neural Networks
Zhiqi Bu, Zongyu Dai, Yiliang Zhang, et al.
Lecture notes in computer science (2023), pp. 430-442
Open Access
Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness
Jan Simson, Florian Pfisterer, Christoph Kern
Frontiers in artificial intelligence and applications (2023)
Open Access
Everything, Everywhere All in One Evaluation: Using Multiverse Analysis to Evaluate the Influence of Model Design Decisions on Algorithmic Fairness
Jan Simson, Florian Pfisterer, Christoph Kern
arXiv (Cornell University) (2023)
Open Access
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