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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:

A Survey on Classifying Big Data with Label Noise
Justin Johnson, Taghi M. Khoshgoftaar
Journal of Data and Information Quality (2022) Vol. 14, Iss. 4, pp. 1-43
Closed Access | Times Cited: 18

Showing 18 citing articles:

Smart grids and renewable energy systems: Perspectives and grid integration challenges
Muhammad Khalid
Energy Strategy Reviews (2024) Vol. 51, pp. 101299-101299
Open Access | Times Cited: 152
Improving the local diagnostic explanations of diabetes mellitus with the ensemble of label noise filters
Che Xu, Peng Zhu, Jiacun Wang, et al.
Information Fusion (2025), pp. 102928-102928
Closed Access | Times Cited: 2
The impact of inconsistent human annotations on AI driven clinical decision making
Aneeta Sylolypavan, Derek Sleeman, Honghan Wu, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 34
Data cleaning and machine learning: a systematic literature review
Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, et al.
Automated Software Engineering (2024) Vol. 31, Iss. 2
Closed Access | Times Cited: 14
An empirical study on impact of label noise on synthetic tabular data generation
Jeong-Hoon Kim, Chao Huang, Xin Liu
Machine Learning (2025) Vol. 114, Iss. 4
Open Access
Self-supervised learning reduces label noise in sharp wave ripple classification
Sabine Graf, Pierre Meyrand, Cyril Herry, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Meta-learning-based sample discrimination framework for improving dynamic selection of classifiers under label noise
Che Xu, Yingming Zhu, Peng Zhu, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111811-111811
Closed Access | Times Cited: 1
On the Impact of Label Noise in Federated Learning
Shuqi Ke, Chao Huang, Xin Liu
(2023), pp. 183-190
Closed Access | Times Cited: 4
An Evaluation of Feature Selection Robustness on Class Noisy Data
Simone Pau, Alessandra Perniciano, Barbara Pes, et al.
Information (2023) Vol. 14, Iss. 8, pp. 438-438
Open Access | Times Cited: 2
Groups of experts often differ in their decisions: What are the implications for AI and machine learning? A commentary on Noise: A Flaw in Human Judgment, by Kahneman, Sibony, and Sunstein (2021)
Derek Sleeman, Ken Gilhooly
AI Magazine (2023) Vol. 44, Iss. 4, pp. 555-567
Open Access | Times Cited: 2
Influence of Preprocessing Methods of Automated Milking Systems Data on the Prediction of Mastitis with Machine Learning Models
Kyrychenko Sergiy О. –, Tina Kabelitz, Thomas Amon, et al.
Research Square (Research Square) (2024)
Open Access
A comparative study on noise filtering of imbalanced data sets
Szilvia Szeghalmy, Attila Fazekas
Knowledge-Based Systems (2024) Vol. 301, pp. 112236-112236
Open Access
Exploring Bayesian network model with noise filtering for rainfall-induced landslide susceptibility assessment in Fujian, China
Suhua Zhou, Jinfeng Li, Jiuchang Zhang, et al.
Frontiers in Earth Science (2024) Vol. 12
Closed Access
Influence of Preprocessing Methods of Automated Milking Systems Data on Prediction of Mastitis with Machine Learning Models
Olivier Basole Kashongwe, Tina Kabelitz, Christian Ammon, et al.
AgriEngineering (2024) Vol. 6, Iss. 3, pp. 3427-3442
Open Access
Digital Integration of Temperature Field of Cable-Stayed Bridge Based on Finite Element Model Updating and Health Monitoring
Guoqiang Zhong, Yufeng Bi, Jie Song, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9028-9028
Open Access | Times Cited: 1
Resilient machine learning methods for cyber-attack detection
Talha Ongun
(2023)
Open Access | Times Cited: 1
Short Review on Supervised Learning Under Adversarial Label Poisoning and Clean-Label Data Poisoning
Pooya Tavllali, Vahid Behzadan
(2023), pp. 378-382
Closed Access
The Impact of Inconsistent Human Annotations on AI driven Clinical Decision Making
Honghan Wu, Aneeta Sylolypavan, Derek Sleeman, et al.
Research Square (Research Square) (2022)
Open Access
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