Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID‐19 patients
Maryam Pishgar, Samuel Harford, Julian Theis, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

Concept drift and trace clustering: insights for managers from mining
Nikoo Ghourchian, Elham Akhondzadeh Noughabi
Management Decision (2025)
Closed Access
Prediction of 30-day mortality for ICU patients with Sepsis-3
YU Zhi-jiang, Negin Ashrafi, Hexin Li, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models
Daniel Iglesias, Joaquim de Moura, Pedro J. Marcos, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104818-104818
Open Access | Times Cited: 6
Prediction of 30-Day Mortality for ICU Patients with Sepsis-3
Zaixin Yu, Negin Ashrafi, Hui Li, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Prediction of 30-Day Mortality for ICU Patients with Sepsis-3
Maryam Pishgar, Hexin Li, YU Zhi-jiang
Research Square (Research Square) (2024)
Open Access
Toward value-based care using cost mining: cost aggregation and visualization across the entire colorectal cancer patient pathway
Maura Leusder, Sven Relijveld, Derya Demirtas, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access
Optimal Process Mining of Traces With Events and Transition Attributes With Application to Care Pathways of Cancer Patients
Zhihao Peng, Vincent Augusto, Lionel Perrier, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 4364-4381
Open Access | Times Cited: 1
Improving Predictive Process Monitoring Through Reachability Graph-Based Masking of Neural Networks
Julian Theis, Houshang Darabi
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 4, pp. 1927-1938
Open Access | Times Cited: 1
Lessons learned: Development of COVID-19 clinical staging models at a large urban research institution
Sean S. Huang, Lelia H. Chaisson, William Galanter, et al.
Journal of Clinical and Translational Science (2023) Vol. 7, Iss. 1
Open Access
A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining
Nichalini Kandasamy, Thierry Chaussalet, Artie Basukoski
Studies in health technology and informatics (2023)
Open Access
Improving Cardiology-Rehospitalization Prediction Through the Synergy of Process Mining and Deep Learning: An Innovative Approach
Eleonora Spizzi, Damiano Quadraro, Federico Esposti, et al.
Studies in health technology and informatics (2023)
Open Access
Posicionamento BRASPEN – Manejo da disfunção trato gastrointestinal na UTI
Priscilla Barreto, Thaisa de Assis, Melina Gouveia Castro, et al.
Deleted Journal (2022) Vol. 37, Iss. 3
Open Access
Page 1

Scroll to top