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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:

Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data
Chris Sidey‐Gibbons, Charlotte C. Sun, Amy Schneider, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

Prognosis prediction in traumatic brain injury patients using machine learning algorithms
Hosseinali Khalili, Maziyar Rismani, Mohammad Ali Nematollahi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 34
Comparing the Effectiveness of Artificial Intelligence Models in Predicting Ovarian Cancer Survival: A Systematic Review
Farkhondeh Asadi, Milad Rahimi, Nahid Ramezanghorbani, et al.
Cancer Reports (2025) Vol. 8, Iss. 3
Open Access
Opportunities and Barriers to Artificial Intelligence Adoption in Palliative/Hospice Care for Underrepresented Groups
Tuzhen Xu, Gloria M. Rose
Journal of Hospice and Palliative Nursing (2025)
Closed Access
Using artificial intelligence to predict patient outcomes from patient-reported outcome measures: a scoping review
Zuzanna Wójcik, Vania Dimitrova, Lorraine Warrington, et al.
Health and Quality of Life Outcomes (2025) Vol. 23, Iss. 1
Open Access
Open science practices need substantial improvement in prognostic model studies in oncology using machine learning
Gary S. Collins, Rebecca Whittle, Garrett S. Bullock, et al.
Journal of Clinical Epidemiology (2023) Vol. 165, pp. 111199-111199
Open Access | Times Cited: 10
Using Machine Learning to Predict Unplanned Hospital Utilization and Chemotherapy Management From Patient-Reported Outcome Measures
Zuzanna Wójcik, Vania Dimitrova, Lorraine Warrington, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Open Access | Times Cited: 3
Differences in Patient-Reported Outcome Measures in Patients With Cancer Six Months Before Death
Samantha Tam, Nada Al‐Antary, Eric Adjei Boakye, et al.
JCO Oncology Practice (2024)
Closed Access | Times Cited: 1
Early prediction of ovarian cancer risk based on real world data
Víctor de la Oliva, Alberto Esteban-Medina, Laura Alejos, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Use of Patient-Reported Outcomes in Risk Prediction Model Development to Support Cancer Care Delivery: A Scoping Review
Roshan Paudel, Samira Dias, Carrie Wade, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Open Access
Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy Patients
Sheng-Chieh Lu, Mark Knafl, Anastasia Turin, et al.
JCO Clinical Cancer Informatics (2023), Iss. 7
Open Access | Times Cited: 1
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