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 bias in visual datasets
Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, et al.
Computer Vision and Image Understanding (2022) Vol. 223, pp. 103552-103552
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

A survey on dataset quality in machine learning
Youdi Gong, Guangzhen Liu, Yunzhi Xue, et al.
Information and Software Technology (2023) Vol. 162, pp. 107268-107268
Open Access | Times Cited: 94

Computational Pathology: A Survey Review and The Way Forward
Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc‐Huy Trinh, et al.
Journal of Pathology Informatics (2024), pp. 100357-100357
Open Access | Times Cited: 34

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: 24

A Comprehensive Survey of Machine Learning Techniques and Models for Object Detection
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2025) Vol. 25, Iss. 1, pp. 214-214
Open Access | Times Cited: 5

A Systematic Literature Review on Sustainability Integration and Marketing Intelligence in the Era of Artificial Intelligence
Md Mehedi Hasan Emon, Tahsina Khan
Review of Business and Economics Studies (2025) Vol. 12, Iss. 4, pp. 6-28
Open Access | Times Cited: 2

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: 56

Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition
Iris Dominguez-Catena, Daniel Paternain, Mikel Galar
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5209-5226
Open Access | Times Cited: 12

Explainable screening of oral cancer via deep learning and case-based reasoning
Mario G. C. A. Cimino, Giuseppina Campisi, Federico A. Galatolo, et al.
Smart Health (2025), pp. 100538-100538
Closed Access | Times Cited: 1

Vision-Based Gesture-Driven Drone Control in a Metaverse-Inspired 3D Simulation Environment
Yaseen Yaseen, Oh‐Jin Kwon, Jaeho Kim, et al.
Drones (2025) Vol. 9, Iss. 2, pp. 92-92
Open Access | Times Cited: 1

A seven-layer model with checklists for standardising fairness assessment throughout the AI lifecycle
Avinash Agarwal, Harsh Agarwal
AI and Ethics (2023) Vol. 4, Iss. 2, pp. 299-314
Closed Access | Times Cited: 11

Would Deep Generative Models Amplify Bias in Future Models?
Tianwei Chen, Yusuke Hirota, Mayu Otani, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. abs/2304.08466, pp. 10833-10843
Closed Access | Times Cited: 4

Less can be more: representational vs. stereotypical gender bias in facial expression recognition
Iris Dominguez-Catena, Daniel Paternain, Aránzazu Jurío, et al.
Progress in Artificial Intelligence (2024) Vol. 14, Iss. 1, pp. 11-31
Open Access | Times Cited: 4

Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview
Arjun Roy, Jan Horstmann, Eirini Ntoutsi
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 89-100
Open Access | Times Cited: 10

Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data
Robert Graf, Florian Hunecke, Stefan Pohl, et al.
Lecture notes in computer science (2025), pp. 79-88
Closed Access

Interpretability of AI race detection model in medical imaging with saliency methods
Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, et al.
Computational and Structural Biotechnology Journal (2025)
Open Access

Sampling Strategies for Mitigating Bias in Face Synthesis Methods
Emmanouil Maragkoudakis, Symeon Papadopoulos, Iraklis Varlamis, et al.
Communications in computer and information science (2025), pp. 230-244
Closed Access

Towards Fair Face Verification: An In-depth Analysis of Demographic Biases
Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, et al.
Communications in computer and information science (2025), pp. 194-208
Closed Access

Overcoming Challenges in Video-Based Health Monitoring: Real-World Implementation, Ethics, and Data Considerations
Simão Ferreira, Catarina Marinheiro, Catarina Mateus, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1357-1357
Open Access

An open-source data-driven automatic road extraction framework for diverse farmland application scenarios
Jing Shen, Yawen He, Jian Peng, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110330-110330
Closed Access

Machine Learning Bias: Genealogy, Expression and Prevention
Theodoros Kouros, Ζήνωνας Θεοδοσίου, Christos Themistocleous
CABI eBooks (2025), pp. 113-126
Closed Access

Evaluating Robustness of Learning-Enabled Medical Cyber-Physical Systems with Naturally Adversarial Datasets
Sydney Pugh, Ivan Ruchkin, James Weimer, et al.
ACM Transactions on Cyber-Physical Systems (2025)
Closed Access

CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis
Yajie Zhang, Yu‐An Huang, Yao Hu, et al.
Medical Image Analysis (2025) Vol. 103, pp. 103581-103581
Closed Access

Deep Learning Models for Multi-Part Morphological Segmentation and Evaluation of Live Unstained Human Sperm
Peng Lei, Mozafar Saadat, Moha M’Rabet Hassani, et al.
Sensors (2025) Vol. 25, Iss. 10, pp. 3093-3093
Open Access

Detection of Thermal Events by Semi-Supervised Learning for Tokamak First Wall Safety
Christian Staron, Hervé Le Borgne, R. Mitteau, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Open Access | Times Cited: 3

Uncertainty in Visual Generative AI
Kara Combs, Adam Moyer, Trevor Bihl
Algorithms (2024) Vol. 17, Iss. 4, pp. 136-136
Open Access | Times Cited: 3

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