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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:

Measuring the Gender and Ethnicity Bias in Deep Models for Face Recognition
Alejandro Acien, Aythami Morales, Rubén Vera-Rodríguez, et al.
Lecture notes in computer science (2019), pp. 584-593
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Demographic Bias in Biometrics: A Survey on an Emerging Challenge
Pawel Drozdowski, Christian Rathgeb, Antitza Dantcheva, et al.
IEEE Transactions on Technology and Society (2020) Vol. 1, Iss. 2, pp. 89-103
Open Access | Times Cited: 221
SensitiveNets: Learning Agnostic Representations with Application to Face Images
Aythami Morales, Julián Fiérrez, Rubén Vera-Rodríguez, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 43, Iss. 6, pp. 2158-2164
Open Access | Times Cited: 140
Face Recognition: Too Bias, or Not Too Bias?
Joseph P. Robinson, Gennady Livitz, Yann Henon, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020)
Open Access | Times Cited: 102
A Comprehensive Study on Face Recognition Biases Beyond Demographics
Philipp Terhörst, Jan Niklas Kolf, Marco Huber, et al.
IEEE Transactions on Technology and Society (2021) Vol. 3, Iss. 1, pp. 16-30
Open Access | Times Cited: 91
Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning
Ignacio Serna, Aythami Morales, Julián Fiérrez, et al.
Artificial Intelligence (2022) Vol. 305, pp. 103682-103682
Open Access | Times Cited: 60
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment
Alejandro Peña, Ignacio Serna, Aythami Morales, et al.
SN Computer Science (2023) Vol. 4, Iss. 5
Open Access | Times Cited: 22
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
Ignacio Serna, Alejandro Peña, Aythami Morales, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2021), pp. 3720-3727
Open Access | Times Cited: 53
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Alejandro Peña, Ignacio Serna, Aythami Morales, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020), pp. 129-137
Open Access | Times Cited: 46
SensitiveNets: Learning Agnostic Representations with Application to Face Recognition.
Aythami Morales, Julián Fiérrez, Rubén Vera-Rodríguez
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 42
Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics
Ignacio Serna, Aythami Morales, Julián Fiérrez, et al.
National Conference on Artificial Intelligence (2019), pp. 146-152
Closed Access | Times Cited: 38
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild
Joseph P. Robinson, Can Qin, Yann Henon, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 4365-4377
Open Access | Times Cited: 12
An Intelligent handcrafted feature selection using Archimedes optimization algorithm for facial analysis
Imène Neggaz, Hadria Fizazi
Soft Computing (2022) Vol. 26, Iss. 19, pp. 10435-10464
Open Access | Times Cited: 18
There is an elephant in the room: towards a critique on the use of fairness in biometrics
Ana Valdivia, Júlia Corbera Serrajòrdia, Aneta Swianiewicz
AI and Ethics (2022) Vol. 3, Iss. 4, pp. 1407-1422
Open Access | Times Cited: 17
Anatomizing Bias in Facial Analysis
Richa Singh, Puspita Majumdar, Surbhi Mittal, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 11, pp. 12351-12358
Open Access | Times Cited: 16
Equal accuracy for Andrew and Abubakar—detecting and mitigating bias in name-ethnicity classification algorithms
Lena Hafner, Theodor Peter Peifer, Franziska Sofia Hafner
AI & Society (2023) Vol. 39, Iss. 4, pp. 1605-1629
Open Access | Times Cited: 9
On the Potential of Algorithm Fusion for Demographic Bias Mitigation in Face Recognition
Jascha Kolberg, Yannik Schäfer, Christian Rathgeb, et al.
IET Biometrics (2024) Vol. 2024, pp. 1-18
Open Access | Times Cited: 3
FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems
Rubén Vera-Rodríguez, Marta Guirado Blázquez, Aythami Morales, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2019), pp. 2254-2260
Closed Access | Times Cited: 29
A Comprehensive Study on Face Recognition Biases Beyond Demographics
Philipp Terhörst, Jan Niklas Kolf, Marco Huber, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 21
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment
Alfonso Ortega, Julián Fiérrez, Aythami Morales, et al.
(2021), pp. 78-87
Open Access | Times Cited: 19
Operationalizing the Relation Between Affect and Cognition With the Somatic Transform
Neil J. MacKinnon, Jesse Hoey
Emotion Review (2021) Vol. 13, Iss. 3, pp. 245-256
Open Access | Times Cited: 19
Enhancing Soft Biometric Face Template Privacy with Mutual Information-Based Image Attacks
Zohra Rezgui, Nicola Strisciuglio, Raymond Veldhuis
(2024), pp. 1141-1149
Closed Access | Times Cited: 2
Gender Privacy Angular Constraints for Face Recognition
Zohra Rezgui, Nicola Strisciuglio, Raymond Veldhuis
IEEE Transactions on Biometrics Behavior and Identity Science (2024) Vol. 6, Iss. 3, pp. 352-363
Open Access | Times Cited: 2
Gender Bias in Artificial Intelligence: Severity Prediction at an Early Stage of COVID-19
Heewon Chung, Chul Park, Wu Seong Kang, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 15
Leave-one-out Unfairness
Emily Black, Matt Fredrikson
(2021), pp. 285-295
Open Access | Times Cited: 13
Boosting Archimedes optimization algorithm using trigonometric operators based on feature selection for facial analysis
Imène Neggaz, Nabil Neggaz, Hadria Fizazi
Neural Computing and Applications (2022) Vol. 35, Iss. 5, pp. 3903-3923
Open Access | Times Cited: 9
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