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:

Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J. Bryson, Arvind Narayanan
Science (2017) Vol. 356, Iss. 6334, pp. 183-186
Open Access | Times Cited: 2428

Showing 1-25 of 2428 citing articles:

Dissecting racial bias in an algorithm used to manage the health of populations
Ziad Obermeyer, Brian W. Powers, Christine Vogeli, et al.
Science (2019) Vol. 366, Iss. 6464, pp. 447-453
Open Access | Times Cited: 3744

The Kinetics Human Action Video Dataset
Andrew Zisserman, João Carreira, Karen Simonyan, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 2980

Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin, David Bau, Ben Z. Yuan, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2018), pp. 80-89
Open Access | Times Cited: 1772

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

Universal Sentence Encoder
Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 1357

Universal Sentence Encoder for English
Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.
(2018)
Open Access | Times Cited: 1131

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
Milena Gianfrancesco, Suzanne Tamang, Jinoos Yazdany, et al.
JAMA Internal Medicine (2018) Vol. 178, Iss. 11, pp. 1544-1544
Open Access | Times Cited: 1047

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

Machine behaviour
Iyad Rahwan, Manuel Cebrián, Nick Obradovich, et al.
Nature (2019) Vol. 568, Iss. 7753, pp. 477-486
Open Access | Times Cited: 762

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

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

Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?
Brian Wahl, Aline Cossy-Gantner, Stefan Germann, et al.
BMJ Global Health (2018) Vol. 3, Iss. 4, pp. e000798-e000798
Open Access | Times Cited: 551

Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
Fred Hohman, Minsuk Kahng, Robert Pienta, et al.
IEEE Transactions on Visualization and Computer Graphics (2018) Vol. 25, Iss. 8, pp. 2674-2693
Open Access | Times Cited: 526

Racial disparities in automated speech recognition
Allison Koenecke, Andrew Nam, Emily Lake, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 14, pp. 7684-7689
Open Access | Times Cited: 498

The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings
Austin C Kozlowski, Matt Taddy, James A. Evans
American Sociological Review (2019) Vol. 84, Iss. 5, pp. 905-949
Open Access | Times Cited: 496

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

On Measuring Social Biases in Sentence Encoders
Chandler May, Alex Wang, Shikha Bordia, et al.
(2019)
Open Access | Times Cited: 417

StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, Siva Reddy
(2021)
Open Access | Times Cited: 417

Patterns of Implicit and Explicit Attitudes: I. Long-Term Change and Stability From 2007 to 2016
Tessa Elizabeth Sadie Charlesworth, Mahzarin R. Banaji
Psychological Science (2019) Vol. 30, Iss. 2, pp. 174-192
Closed Access | Times Cited: 403

Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning
Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, et al.
(2020), pp. 1-14
Closed Access | Times Cited: 402

What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
Markus Langer, Daniel Oster, Timo Speith, et al.
Artificial Intelligence (2021) Vol. 296, pp. 103473-103473
Open Access | Times Cited: 401

Bias on the web
Ricardo Baeza‐Yates
Communications of the ACM (2018) Vol. 61, Iss. 6, pp. 54-61
Closed Access | Times Cited: 387

Artificial intelligence-enabled healthcare delivery
Sandeep Reddy, John Fox, Maulik Purohit
Journal of the Royal Society of Medicine (2018) Vol. 112, Iss. 1, pp. 22-28
Open Access | Times Cited: 387

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