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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:

From hype to reality: data science enabling personalized medicine
Holger Fröhlich, Rudi Balling, Niko Beerenwinkel, et al.
BMC Medicine (2018) Vol. 16, Iss. 1
Open Access | Times Cited: 370

Showing 1-25 of 370 citing articles:

Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
Shigao Huang, Jie Yang, Simon Fong, et al.
Cancer Letters (2019) Vol. 471, pp. 61-71
Open Access | Times Cited: 493
AI applications to medical images: From machine learning to deep learning
Isabella Castiglioni, Leonardo Rundo, Marina Codari, et al.
Physica Medica (2021) Vol. 83, pp. 9-24
Open Access | Times Cited: 487
Exploiting machine learning for end-to-end drug discovery and development
Sean Ekins, Ana C. Puhl, Kimberley M. Zorn, et al.
Nature Materials (2019) Vol. 18, Iss. 5, pp. 435-441
Open Access | Times Cited: 470
A research agenda for ageing in China in the 21st century (2nd edition): Focusing on basic and translational research, long-term care, policy and social networks
Evandro Fei Fang, Chenglong Xie, Joseph Adam Schenkel, et al.
Ageing Research Reviews (2020) Vol. 64, pp. 101174-101174
Open Access | Times Cited: 448
A roadmap for implementation of patient‐centered digital outcome measures in Parkinson's disease obtained using mobile health technologies
Alberto J. Espay, Jeffrey M. Hausdorff, Álvaro Sánchez‐Ferro, et al.
Movement Disorders (2019) Vol. 34, Iss. 5, pp. 657-663
Open Access | Times Cited: 263
A predictive index for health status using species-level gut microbiome profiling
Vinod K. Gupta, Minsuk Kim, Utpal Bakshi, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 222
Blind-sided by privacy? Digital contact tracing, the Apple/Google API and big tech’s newfound role as global health policy makers
Tamar Sharon
Ethics and Information Technology (2020) Vol. 23, Iss. S1, pp. 45-57
Open Access | Times Cited: 198
Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG
Mihaela Porumb, Saverio Stranges, Antonio Pescapè, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 174
Machine Learning in oncology: A clinical appraisal
Renato Cuocolo, Martina Caruso, Teresa Perillo, et al.
Cancer Letters (2020) Vol. 481, pp. 55-62
Closed Access | Times Cited: 158
Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review
Mubashir Hassan, Faryal Mehwish Awan, Anam Naz, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 9, pp. 4645-4645
Open Access | Times Cited: 155
Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review
Fábio Gama, Daniel Tyskbo, Jens M. Nygren, et al.
Journal of Medical Internet Research (2021) Vol. 24, Iss. 1, pp. e32215-e32215
Open Access | Times Cited: 128
Bio-acceptable 0D and 1D ZnO nanostructures for cancer diagnostics and treatment
Brandon Ortiz-Casas, Andrés Galdámez‐Martínez, Jorge Gutiérrez-Flores, et al.
Materials Today (2021) Vol. 50, pp. 533-569
Open Access | Times Cited: 123
Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity
Jingwei Li, Danilo Bzdok, Jianzhong Chen, et al.
Science Advances (2022) Vol. 8, Iss. 11
Open Access | Times Cited: 112
Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis
Mehar Sahu, Rohan Gupta, Rashmi K. Ambasta, et al.
Progress in molecular biology and translational science (2022), pp. 57-100
Closed Access | Times Cited: 86
Identification and Prediction of Chronic Diseases Using Machine Learning Approach
Alanazi Rayan
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 85
Data Integration Challenges for Machine Learning in Precision Medicine
Mireya Martínez-García, Enrique Hernández-Lemus
Frontiers in Medicine (2022) Vol. 8
Open Access | Times Cited: 82
Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review
Rizwan Qureshi, Muhammad Irfan, Hazrat Ali, et al.
IEEE Access (2023) Vol. 11, pp. 61600-61620
Open Access | Times Cited: 69
The foundation and architecture of precision medicine in neurology and psychiatry
Harald Hampel, Peng Gao, Jeffrey L. Cummings, et al.
Trends in Neurosciences (2023) Vol. 46, Iss. 3, pp. 176-198
Open Access | Times Cited: 68
Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment
Matthew Squires, Xiaohui Tao, Soman Elangovan, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 50
EVALUATING THE EFFECTIVENESS OF IT PROJECT MANAGEMENT IN HEALTHCARE DIGITALIZATION: A REVIEW
Odunayo Josephine Akindote, Abimbola Oluwatoyin Adegbite, Adedolapo Omotosho, et al.
International Medical Science Research Journal (2024) Vol. 4, Iss. 1, pp. 37-50
Open Access | Times Cited: 36
AI in medical diagnosis: AI prediction & human judgment
Dóra Göndöcs, Viktor Dörfler
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102769-102769
Open Access | Times Cited: 27
An open source knowledge graph ecosystem for the life sciences
Tiffany J Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 27
The paradigm change from reactive medical services to 3PM in ischemic stroke: a holistic approach utilising tear fluid multi-omics, mitochondria as a vital biosensor and AI-based multi-professional data interpretation
Olga Golubnitschaja, Jiří Polívka, Pavel Potuznik, et al.
The EPMA Journal (2024) Vol. 15, Iss. 1, pp. 1-23
Open Access | Times Cited: 24
Microbiome Dynamics: A Paradigm Shift in Combatting Infectious Diseases
Mohamed Kamel, Sami Aleya, Majed Alsubih, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 2, pp. 217-217
Open Access | Times Cited: 23
Caution, “normal” BMI: health risks associated with potentially masked individual underweight—EPMA Position Paper 2021
Olga Golubnitschaja, Alena Líšková, Lenka Koklesová, et al.
The EPMA Journal (2021) Vol. 12, Iss. 3, pp. 243-264
Open Access | Times Cited: 102
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