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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:

Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review
Iman Kassam, Daria Ilkina, Jessica Kemp, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e42507-e42507
Open Access | Times Cited: 21

Showing 21 citing articles:

From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care
Masaru Tanaka
Biomedicines (2025) Vol. 13, Iss. 1, pp. 167-167
Open Access | Times Cited: 1
Análisis de retos y dilemas que deberá afrontar la bioética del siglo xxi, en la era de la salud digital
Robert Panadés Zafra, Noemí Amorós Parramon, Marc Albiol-Perarnau, et al.
Atención Primaria (2024) Vol. 56, Iss. 7, pp. 102901-102901
Open Access | Times Cited: 11
AI-assisted facial analysis in healthcare: From disease detection to comprehensive management
Chaoyu Lei, Kang Dang, Soon H Song, et al.
Patterns (2025) Vol. 6, Iss. 2, pp. 101175-101175
Open Access
Digital health technologies and innovation patterns in diabetes ecosystems
Odile-Florence Giger, Estelle Pfitzer, Wasu Mekniran, et al.
Digital Health (2025) Vol. 11
Open Access
IRIS: A Prototype for GDPR Health Research Compliance
L. Ferreira, Teresa Martins, E Dias, et al.
Communications in computer and information science (2025), pp. 131-149
Closed Access
Patient consent for the secondary use of health data in artificial intelligence (AI) models: A scoping review
Khadijeh Moulaei, Saeed Akhlaghpour, Farhad Fatehi
International Journal of Medical Informatics (2025), pp. 105872-105872
Closed Access
Exploring User Experiences of the Mom2B mHealth Research App During the Perinatal Period: Qualitative Study
Ayesha-Mae Bilal, Konstantina Pagoni, Stavros I. Iliadis, et al.
JMIR Formative Research (2024) Vol. 8, pp. e53508-e53508
Open Access | Times Cited: 3
Artificial intelligent tools: evidence-mapping on the perceived positive effects on patient-care and confidentiality
Nkosi Nkosi Botha, Edward Wilson Ansah, Cynthia Esinam Segbedzi, et al.
BMC Digital Health (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 3
Patient information needs for transparent and trustworthy artificial intelligence in healthcare
Austin M. Stroud, Sarah A. Minteer, Xuan Zhu, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Use of an electronic wellness instrument in the integrated health and social care of older adults: a group concept mapping study
Melissa Northwood, Margaret Saari, George Heckman, et al.
BMC Health Services Research (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Critical Data for Critical Care: A Primer on Leveraging Electronic Health Record Data for Research From Society of Critical Care Medicine’s Panel on Data Sharing and Harmonization
Smith F. Heavner, Vishakha K. Kumar, Wes Anderson, et al.
Critical Care Explorations (2024) Vol. 6, Iss. 11, pp. e1179-e1179
Open Access | Times Cited: 1
A transparent and standardized performance measurement platform is needed for on-prescription digital health apps to enable ongoing performance monitoring
Cindy Welzel, Stefanie Brückner, Celia Brightwell, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 11, pp. e0000656-e0000656
Open Access | Times Cited: 1
Toward a framework for risk mitigation of potential misuse of artificial intelligence in biomedical research
Artem A. Trotsyuk, Quinn Waeiss, Raina Talwar Bhatia, et al.
Nature Machine Intelligence (2024)
Closed Access
Digital Biomarkers in Neurodevelopmental Health: Current Status, Promises, and Perils
Wamuyu Owotoki, Anninka Enseroth, Ruth Gathoni Mbugua, et al.
Integrated science (2024), pp. 83-108
Closed Access
Safeguarding Users of Consumer Mental Health Apps in Research and Product Improvement Studies: an Interview Study
Kamiel Verbeke, Charu Jain, Ambra Shpendi, et al.
Neuroethics (2024) Vol. 17, Iss. 1
Closed Access
Patient preferences and priorities for the design of an acute kidney injury prevention trial: Findings from a consensus workshop
Meghan J. Elliott, Kirsten M. Fiest, Shannan Love, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Factors influencing patients’ willingness to share their digital health data for primary and secondary use: a theory- and evidence-based overview of reviews (Preprint)
Sabrina Fesl, Caroline Lang, Jochen Schmitt, et al.
(2024)
Open Access
Patient Preferences and Priorities for the Design of an AKI Prevention Trial
Meghan J. Elliott, Kirsten M. Fiest, Shannan Love, et al.
Kidney360 (2024) Vol. 5, Iss. 10, pp. 1455-1465
Open Access
Patients’ Expectations of Doctors’ Clinical Competencies in the Digital Health Care Era: Qualitative Semistructured Interview Study Among Patients
Humairah Zainal, Xin Xiao Hui, Julian Thumboo, et al.
JMIR Human Factors (2024) Vol. 11, pp. e51972-e51972
Open Access
Building and Sustaining Public Trust in Health Data Sharing for Musculoskeletal Research: Semistructured Interview and Focus Group Study
Zainab K Yusuf, William G Dixon, Charlotte A Sharp, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e53024-e53024
Open Access
Artificial Intelligent Tools: Evidence-Mapping on the Perceived Positive Effects on Patient-Care
Nkosi Nkosi Botha, Edward Wilson Ansah, Cynthia Esinam Segbedzi, et al.
Research Square (Research Square) (2023)
Open Access
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