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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:

The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts
Brent Mittelstadt, Luciano Floridi
Science and Engineering Ethics (2015) Vol. 22, Iss. 2, pp. 303-341
Closed Access | Times Cited: 572

Showing 1-25 of 572 citing articles:

The ethics of algorithms: Mapping the debate
Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo, et al.
Big Data & Society (2016) Vol. 3, Iss. 2
Open Access | Times Cited: 1985
Closing the AI accountability gap
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, et al.
(2020), pp. 33-44
Open Access | Times Cited: 547
Gender equality in science, medicine, and global health: where are we at and why does it matter?
Geordan Shannon, Melanie Jansen, Kate Williams, et al.
The Lancet (2019) Vol. 393, Iss. 10171, pp. 560-569
Open Access | Times Cited: 457
What is data ethics?
Luciano Floridi, Mariarosaria Taddeo
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2016) Vol. 374, Iss. 2083, pp. 20160360-20160360
Open Access | Times Cited: 403
The Threat of Algocracy: Reality, Resistance and Accommodation
John Danaher
Philosophy & Technology (2016) Vol. 29, Iss. 3, pp. 245-268
Open Access | Times Cited: 390
On the ethics of algorithmic decision-making in healthcare
Thomas Grote, Philipp Berens
Journal of Medical Ethics (2019) Vol. 46, Iss. 3, pp. 205-211
Open Access | Times Cited: 364
The promise of machine learning in predicting treatment outcomes in psychiatry
Adam M. Chekroud, Julia Bondar, Jaime Delgadillo, et al.
World Psychiatry (2021) Vol. 20, Iss. 2, pp. 154-170
Open Access | Times Cited: 341
A Delphi study to build consensus on the definition and use of big data in obesity research
Christina Vogel, Stephen Zwolinsky, Claire Griffiths, et al.
International Journal of Obesity (2019) Vol. 43, Iss. 12, pp. 2573-2586
Open Access | Times Cited: 317
Algorithmic governance: Developing a research agenda through the power of collective intelligence
John Danaher, Michael Hogan, Chris Noone, et al.
Big Data & Society (2017) Vol. 4, Iss. 2, pp. 205395171772655-205395171772655
Open Access | Times Cited: 277
Forgetting personal data and revoking consent under the GDPR: Challenges and proposed solutions
Eugenia Politou, Efthimios Alepis, Constantinos Patsakis
Journal of Cybersecurity (2018) Vol. 4, Iss. 1
Open Access | Times Cited: 266
The FAIR guiding principles for data stewardship: fair enough?
Martin Boeckhout, Gerhard A. Zielhuis, Annelien L. Bredenoord
European Journal of Human Genetics (2018) Vol. 26, Iss. 7, pp. 931-936
Open Access | Times Cited: 252
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu, et al.
Radiology (2019) Vol. 293, Iss. 2, pp. 436-440
Open Access | Times Cited: 252
Considerations for ethics review of big data health research: A scoping review
Marcello Ienca, Agata Ferretti, Samia Hurst, et al.
PLoS ONE (2018) Vol. 13, Iss. 10, pp. e0204937-e0204937
Open Access | Times Cited: 232
Fairness of artificial intelligence in healthcare: review and recommendations
Daiju Ueda, Taichi Kakinuma, Shohei Fujita, et al.
Japanese Journal of Radiology (2023) Vol. 42, Iss. 1, pp. 3-15
Open Access | Times Cited: 218
Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective
Erik Hermann
Journal of Business Ethics (2021) Vol. 179, Iss. 1, pp. 43-61
Open Access | Times Cited: 195
Big Data Science: Opportunities and Challenges to Address Minority Health and Health Disparities in the 21st Century
Xinzhi Zhang, Eliseo J. Pérez‐Stable, Philip E. Bourne, et al.
Ethnicity & Disease (2017) Vol. 27, Iss. 2, pp. 95-95
Open Access | Times Cited: 185
User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study
Yeganeh Shahsavar, Avishek Choudhury
JMIR Human Factors (2023) Vol. 10, pp. e47564-e47564
Open Access | Times Cited: 172
Dissecting the Algorithmic Leviathan: On the Socio-Political Anatomy of Algorithmic Governance
Pascal D. König
Philosophy & Technology (2019) Vol. 33, Iss. 3, pp. 467-485
Open Access | Times Cited: 169
The three ghosts of medical AI: Can the black-box present deliver?
Thomas P. Quinn, Stephan Jacobs, Manisha Senadeera, et al.
Artificial Intelligence in Medicine (2021) Vol. 124, pp. 102158-102158
Open Access | Times Cited: 142
A high-level overview of AI ethics
Emre Kazim, Adriano Koshiyama
Patterns (2021) Vol. 2, Iss. 9, pp. 100314-100314
Open Access | Times Cited: 138
Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies
Lushun Jiang, Zhe Wu, Xiaolan Xu, et al.
Journal of International Medical Research (2021) Vol. 49, Iss. 3
Open Access | Times Cited: 120
Responsible AI for Digital Health: a Synthesis and a Research Agenda
Cristina Trocin, Patrick Mikalef, Zacharoula Papamitsiou, et al.
Information Systems Frontiers (2021) Vol. 25, Iss. 6, pp. 2139-2157
Open Access | Times Cited: 117
A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning
Melissa D. McCradden, James A. Anderson, Elizabeth A. Stephenson, et al.
The American Journal of Bioethics (2022) Vol. 22, Iss. 5, pp. 8-22
Open Access | Times Cited: 86
You Can’t Have AI Both Ways: Balancing Health Data Privacy and Access Fairly
Marieke Bak, Vince I. Madai, Marie-Christine Fritzsche, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 73
Peer review of GPT-4 technical report and systems card
Jack Gallifant, Amelia Fiske, Yulia A. Strekalova, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 1, pp. e0000417-e0000417
Open Access | Times Cited: 34
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