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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:

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2017)
Open Access | Times Cited: 724

Showing 1-25 of 724 citing articles:

A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Ani Saxena, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 6, pp. 1-35
Open Access | Times Cited: 2834
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1553
ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
Partha Pratim Ray
Internet of Things and Cyber-Physical Systems (2023) Vol. 3, pp. 121-154
Open Access | Times Cited: 1476
Word embeddings quantify 100 years of gender and ethnic stereotypes
Nikhil Garg, Londa Schiebinger, Dan Jurafsky, et al.
Proceedings of the National Academy of Sciences (2018) Vol. 115, Iss. 16
Open Access | Times Cited: 989
Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science
Emily M. Bender, Batya Friedman
Transactions of the Association for Computational Linguistics (2018) Vol. 6, pp. 587-604
Open Access | Times Cited: 723
From Recognition to Cognition: Visual Commonsense Reasoning
Rowan Zellers, Yonatan Bisk, Ali Farhadi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 6713-6724
Open Access | Times Cited: 720
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
Rowan Zellers, Yonatan Bisk, Roy Schwartz, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2018)
Open Access | Times Cited: 706
Language (Technology) is Power: A Critical Survey of “Bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé, et al.
(2020)
Open Access | Times Cited: 678
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.
(2018)
Open Access | Times Cited: 627
Shortcut learning in deep neural networks
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, et al.
Nature Machine Intelligence (2020) Vol. 2, Iss. 11, pp. 665-673
Closed Access | Times Cited: 484
Sex and gender analysis improves science and engineering
Cara Tannenbaum, Robert P. Ellis, Friederike Eyssel, et al.
Nature (2019) Vol. 575, Iss. 7781, pp. 137-146
Open Access | Times Cited: 470
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
Laleh Seyyed-Kalantari, Haoran Zhang, Matthew B. A. McDermott, et al.
Nature Medicine (2021) Vol. 27, Iss. 12, pp. 2176-2182
Open Access | Times Cited: 468
Gender Bias in Coreference Resolution
Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al.
(2018)
Open Access | Times Cited: 438
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun, Andrew Gaut, Shirlyn Tang, et al.
(2019)
Open Access | Times Cited: 417
Women Also Snowboard: Overcoming Bias in Captioning Models
Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, et al.
Lecture notes in computer science (2018), pp. 793-811
Closed Access | Times Cited: 400
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, et al.
Patterns (2021) Vol. 2, Iss. 11, pp. 100336-100336
Open Access | Times Cited: 371
Learning Gender-Neutral Word Embeddings
Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2018)
Open Access | Times Cited: 352
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark, Mark Yatskar, Luke Zettlemoyer
(2019)
Open Access | Times Cited: 350
Measuring Bias in Contextualized Word Representations
Keita Kurita, Nidhi Vyas, Ayush Pareek, et al.
(2019)
Open Access | Times Cited: 335
A Review on Fairness in Machine Learning
Dana Pessach, Erez Shmueli
ACM Computing Surveys (2022) Vol. 55, Iss. 3, pp. 1-44
Closed Access | Times Cited: 327
Gender Bias in Contextualized Word Embeddings
Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.
(2019)
Open Access | Times Cited: 324
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
Tianlu Wang, Jieyu Zhao, Mark Yatskar, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 5309-5318
Open Access | Times Cited: 312
Evaluating Gender Bias in Machine Translation
Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer
(2019)
Open Access | Times Cited: 303
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings
Thomas Manzini, Lim Yao Chong, Alan W. Black, et al.
(2019)
Open Access | Times Cited: 273
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar, Yoav Goldberg
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2018)
Open Access | Times Cited: 263
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