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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:

Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews
Brandon M. Booth, Louis Hickman, Shree Krishna Subburaj, et al.
(2021)
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Towards a standard for identifying and managing bias in artificial intelligence
Reva Schwartz, Apostol Vassilev, Kristen Greene, et al.
(2022)
Open Access | Times Cited: 301
What is Human-Centered about Human-Centered AI? A Map of the Research Landscape
Tara Capel, Margot Brereton
(2023), pp. 1-23
Open Access | Times Cited: 79
A Conceptual Framework for Investigating and Mitigating Machine-Learning Measurement Bias (MLMB) in Psychological Assessment
Louis Tay, Sang Eun Woo, Louis Hickman, et al.
Advances in Methods and Practices in Psychological Science (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 41
Exploring gender biases in ML and AI academic research through systematic literature review
Sunny Shrestha, Sanchari Das
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 41
Human visual explanations mitigate bias in AI-based assessment of surgeon skills
Dani Kiyasseh, Jasper Laca, Taseen F. Haque, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 28
A scoping review of fair machine learning techniques when using real-world data
Yu Huang, Jingchuan Guo, Wei‐Han Chen, et al.
Journal of Biomedical Informatics (2024) Vol. 151, pp. 104622-104622
Open Access | Times Cited: 16
Reducing subgroup differences in personnel selection through the application of machine learning
Nan Zhang, Mo Wang, Heng Xu, et al.
Personnel Psychology (2023) Vol. 76, Iss. 4, pp. 1125-1159
Open Access | Times Cited: 19
Toward Explainable Affective Computing: A Review
Karina Cortiñas-Lorenzo, Gerard Lacey
IEEE Transactions on Neural Networks and Learning Systems (2023), pp. 1
Open Access | Times Cited: 17
Can Large Language Models Assess Personality From Asynchronous Video Interviews? A Comprehensive Evaluation of Validity, Reliability, Fairness, and Rating Patterns
Tianyi Zhang, Antonis Koutsoumpis, Janneke K. Oostrom, et al.
IEEE Transactions on Affective Computing (2024) Vol. 15, Iss. 3, pp. 1769-1785
Closed Access | Times Cited: 6
A Survey on Safe Multi-Modal Learning Systems
Tianyi Zhao, L. Zhang, Yao Ma, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6655-6665
Closed Access | Times Cited: 5
Deep Learning in Employee Selection: Evaluation of Algorithms to Automate the Scoring of Open-Ended Assessments
Isaac Thompson, Nick Koenig, Derek L. Mracek, et al.
Journal of Business and Psychology (2023) Vol. 38, Iss. 3, pp. 509-527
Closed Access | Times Cited: 12
The effects of the charisma signal and voice pitch in female leader selection
Rafael Wilms, Janneke K. Oostrom, Emma van Garderen
The Leadership Quarterly (2025), pp. 101857-101857
Open Access
How to Reduce Bias in the Life Cycle of a Data Science Project
George C. Banks, Scott Tonidandel, Wenwen Dou, et al.
Journal of Business and Psychology (2025)
Open Access
“It feels like we're not meeting the criteria”: Examining and Mitigating the Cascading Effects of Bias in Automatic Speech Recognition in Spoken Language Interfaces.
Kelechi Ezema, Chelsea Chandler, Rosy Southwell, et al.
(2025), pp. 1-13
Closed Access
Toward Argument‐Based Fairness with an Application to AI‐Enhanced Educational Assessments
Anne Corinne Huggins‐Manley, Brandon M. Booth, Sidney K. D’Mello
Journal of Educational Measurement (2022) Vol. 59, Iss. 3, pp. 362-388
Closed Access | Times Cited: 15
An Engineering View on Emotions and Speech: From Analysis and Predictive Models to Responsible Human-Centered Applications
Chi-Chun Lee, Theodora Chaspari, Emily Mower Provost, et al.
Proceedings of the IEEE (2023) Vol. 111, Iss. 10, pp. 1142-1158
Closed Access | Times Cited: 9
Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review
Brandon M. Booth, Nigel Bosch, Sidney K. D’Mello
Proceedings of the IEEE (2023) Vol. 111, Iss. 10, pp. 1398-1422
Closed Access | Times Cited: 8
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A case study of automated video interviews
Brandon M. Booth, Louis Hickman, Shree Krishna Subburaj, et al.
IEEE Signal Processing Magazine (2021) Vol. 38, Iss. 6, pp. 84-95
Open Access | Times Cited: 16
CPL: Counterfactual Prompt Learning for Vision and Language Models
Xuehai He, Diji Yang, Weixi Feng, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 3407-3418
Open Access | Times Cited: 9
Unsupervised Multimodal Learning for Dependency-Free Personality Recognition
Sina Ghassemi, Tianyi Zhang, Ward van Breda, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 3, pp. 1053-1066
Open Access | Times Cited: 4
Persistence, Emergence, and Fadeout: Influence of AI Teammates on the Salience of Human Identities at Work
Jonas Rieskamp, Lennart Hofeditz, Milad Mirbabaie, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2023)
Open Access | Times Cited: 4
Communicating and combating algorithmic bias: effects of data diversity, labeler diversity, performance bias, and user feedback on AI trust
Cheng Chen, S. Shyam Sundar
Human-Computer Interaction (2024), pp. 1-37
Closed Access | Times Cited: 1
A Conceptual Framework for Investigating and Mitigating Machine Learning Measurement Bias (MLMB) in Psychological Assessment
Louis Tay, Sang Eun Woo, Louis Hickman, et al.
(2021)
Open Access | Times Cited: 8
Fehlgeleitete Hoffnungen?
Markus Langer
Psychologische Rundschau (2023) Vol. 74, Iss. 4, pp. 211-220
Open Access | Times Cited: 3
Using Explainability for Bias Mitigation: A Case Study for Fair Recruitment Assessment
Gizem Soğancıoğlu, Heysem Kaya, Albert Ali Salah
INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (2023) Vol. 10510, pp. 631-639
Closed Access | Times Cited: 3
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