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:

Proposed Taxonomy for Gender Bias in Text; A Filtering Methodology for the Gender Generalization Subtype
Yasmeen Hitti, Eunbee Jang, Inés Olza Moreno, et al.
(2019), pp. 8-17
Open Access | Times Cited: 24

Showing 24 citing articles:

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
Deven Santosh Shah, H. Andrew Schwartz, Dirk Hovy
(2020)
Open Access | Times Cited: 222

Gender Bias in Machine Translation
Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.
Transactions of the Association for Computational Linguistics (2021) Vol. 9, pp. 845-874
Open Access | Times Cited: 116

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: 42

On the Morality of Artificial Intelligence [Commentary]
Alexandra Sasha Luccioni, Yoshua Bengio
IEEE Technology and Society Magazine (2020) Vol. 39, Iss. 1, pp. 16-25
Open Access | Times Cited: 36

Gender Bias in Text: Origin, Taxonomy, and Implications
Jad Doughman, Wael Khreich, Maya El Gharib, et al.
(2021)
Open Access | Times Cited: 15

Semi-Supervised Topic Modeling for Gender Bias Discovery in English and Swedish
Hannah Devinney, Jenny Björklund, Henrik Björklund
(2020), pp. 79-92
Closed Access | Times Cited: 13

Analyzing Gender Bias within Narrative Tropes
Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, et al.
(2020), pp. 212-217
Open Access | Times Cited: 12

Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
Antonis Maronikolakis, Philip Baader, Hinrich Schütze, et al.
(2022)
Open Access | Times Cited: 8

An analysis of unconscious gender bias in academic texts by means of a decision algorithm
Pedro Orgeira-Crespo, Carla Míguez‐Álvarez, Miguel Cuevas Alonso, et al.
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0257903-e0257903
Open Access | Times Cited: 8

Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research
Lucy Havens, Melissa Terras, Benjamin Bach, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 8

On the Morality of Artificial Intelligence.
Alexandra Sasha Luccioni, Yoshua Bengio
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 5

Measuring Intersectional Biases in Historical Documents
Nadav Borenstein, Karolina Stańczak, Thea Rolskov, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 2711-2730
Open Access | Times Cited: 1

Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research
Lucy Havens, Melissa Terras, Benjamin Bach, et al.
arXiv (Cornell University) (2020), pp. 107-124
Closed Access | Times Cited: 1

On the Dynamics of Gender Learning in Speech Translation
Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.
(2022), pp. 94-111
Open Access | Times Cited: 1

To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation
Maja Stahl, Maximilian Spliethöver, Henning Wachsmuth
(2022), pp. 39-51
Open Access | Times Cited: 1

On the Generalization of Projection-Based Gender Debiasing in Word Embedding
Elisabetta Fersini, Antonio Candelieri, Lorenzo Mario Pastore
(2023), pp. 336-343
Open Access

Analyzing Gender Bias within Narrative Tropes
Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, et al.
arXiv (Cornell University) (2020)
Closed Access

Gender Bias in Machine Translation
Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.
arXiv (Cornell University) (2021)
Closed Access

Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models
Wenqian Ye, Fei Xu, Yaojia Huang, et al.
arXiv (Cornell University) (2021)
Open Access

CO-STAR: Conceptualisation of Stereotypes for Analysis and Reasoning.
Teyun Kwon, Anandha Gopalan
arXiv (Cornell University) (2021)
Closed Access

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