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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:

"I need a better description": An Investigation Into User Expectations For Differential Privacy
Rachel Cummings, Gabriel Kaptchuk, Elissa M. Redmiles
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (2021), pp. 3037-3052
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
Rachel Cummings, Damien Desfontaines, David Evans, et al.
Harvard data science review (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 9
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases
Priyanka Nanayakkara, Johes Bater, Xi He, et al.
Proceedings on Privacy Enhancing Technologies (2022) Vol. 2022, Iss. 2, pp. 601-618
Open Access | Times Cited: 29
Advancing privacy in learning analytics using differential privacy
Qinyi Liu, Ronas Shakya, Mohammad Khalil, et al.
(2025), pp. 181-191
Open Access
Don’t Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science
Jayshree Sarathy, S. Song, Audrey Haque, et al.
(2023), pp. 1-19
Open Access | Times Cited: 12
Statistical Data Privacy: A Song of Privacy and Utility
Aleksandra Slavković, Jeremy Seeman
Annual Review of Statistics and Its Application (2022) Vol. 10, Iss. 1, pp. 189-218
Open Access | Times Cited: 16
Addressing combinatorial experiments and scarcity of subjects by provably orthogonal and crossover experimental designs
Fabio Massacci, Aurora Papotti, Ranindya Paramitha
Journal of Systems and Software (2024) Vol. 211, pp. 111990-111990
Open Access | Times Cited: 3
Differentially Private Graph Neural Networks for Whole-Graph Classification
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 6, pp. 7308-7318
Open Access | Times Cited: 15
Differential Privacy for Government Agencies—Are We There Yet?
Jörg Drechsler
Journal of the American Statistical Association (2023) Vol. 118, Iss. 541, pp. 761-773
Open Access | Times Cited: 7
Training Data Extraction From Pre-trained Language Models: A Survey
Shotaro Ishihara
(2023)
Open Access | Times Cited: 7
Public comprehension of privacy protections applied to health data shared for research: An Australian cross-sectional study
Amy Beth Corman, Rachel Canaway, Chris Culnane, et al.
International Journal of Medical Informatics (2022) Vol. 167, pp. 104859-104859
Closed Access | Times Cited: 9
Integrating Differential Privacy and Contextual Integrity
Sebastian Benthall, Rachel Cummings
(2024), pp. 9-15
Open Access | Times Cited: 1
From Theory to Comprehension: A Comparative Study of Differential Privacy and k-Anonymity
Saskia Nuñez von Voigt, Luise Mehner, Florian Tschorsch
(2024)
Closed Access | Times Cited: 1
"I inherently just trust that it works": Investigating Mental Models of Open-Source Libraries for Differential Privacy
Phil-Hyun Song, Jayshree Sarathy, Michael Shoemate, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW2, pp. 1-39
Open Access | Times Cited: 1
SoK: Machine Learning Governance
Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 10
Am I Private and If So, how Many?
Daniel Franzén, Saskia Nuñez von Voigt, Peter Sörries, et al.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (2022), pp. 1125-1139
Open Access | Times Cited: 6
Balancing Utility Versus Privacy in the 2020 Census: Sentiments from Data Users
Joseph Scariano, Izzy Youngs
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 5
Consent: A Research and Design Lens for Human-Computer Interaction
Douglas Zytko, Jane Im, Jonathan Zong
(2022), pp. 205-208
Open Access | Times Cited: 5
User Acceptance Criteria for Privacy Preserving Machine Learning Techniques
Sascha Löbner, Sebastian Pape, Vanessa Bracamonte
Proceedings of the 17th International Conference on Availability, Reliability and Security (2023), pp. 1-8
Closed Access | Times Cited: 2
Centering Policy and Practice: Research Gaps Around Usable Differential Privacy
Rachel Cummings, Jayshree Sarathy
(2023), pp. 122-135
Open Access | Times Cited: 2
Between Privacy and Utility: On Differential Privacy in Theory and Practice
Jeremy Seeman, Daniel Susser
SSRN Electronic Journal (2022)
Open Access | Times Cited: 3
Overview of Usable Privacy Research: Major Themes and Research Directions
Simone Fischer‐Hübner, Farzaneh Karegar
Synthesis lectures on information security, privacy, and trust (2024), pp. 43-102
Closed Access
Communicating the Privacy-Utility Trade-off: Supporting Informed Data Donation with Privacy Decision Interfaces for Differential Privacy
Daniel Franzén, Claudia Müller-Birn, Odette Wegwarth
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW1, pp. 1-56
Open Access
Equitable differential privacy
Vasundhara Kaul, Tamalika Mukherjee
Frontiers in Big Data (2024) Vol. 7
Open Access
Federated Learning-Based Architecture for Personalized Next Emoji Prediction for Social Media Comments
Durjoy Mistry, Jayonto Dutta Plabon, Bidita Sarkar Diba, et al.
IEEE Access (2024) Vol. 12, pp. 140339-140358
Open Access
Casual Users and Rational Choices within Differential Privacy
Narges Ashena, Oana Inel, Badrie L. Persaud, et al.
2022 IEEE Symposium on Security and Privacy (SP) (2024) Vol. 9, pp. 932-950
Closed Access
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