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:

Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture
Julian Theis, William Galanter, Andrew D. Boyd, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 1, pp. 388-399
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

A Survey on Medical Explainable AI (XAI): Recent Progress, Explainability Approach, Human Interaction and Scoring System
Ruey‐Kai Sheu, Mayuresh Sunil Pardeshi
Sensors (2022) Vol. 22, Iss. 20, pp. 8068-8068
Open Access | Times Cited: 64
Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction
Ali Raza, Hafeez Ur Rehman Siddiqui, Kashif Munir, et al.
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0276525-e0276525
Open Access | Times Cited: 61
Knowledge-based dynamic prompt learning for multi-label disease diagnosis
Jing Xie, Xin Li, Ye Yuan, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111395-111395
Closed Access | Times Cited: 11
Prediction of unplanned 30-day readmission for ICU patients with heart failure
Maryam Pishgar, Julian Theis, Marina Del Rios, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 37
An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques
Kiran Kumar Patro, Allam Jaya Prakash, Umamaheswararao Sanapala, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 13
Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model development and validation study
Hayeon Lee, Soon Cheon Hwang, Seoyoung Park, et al.
EClinicalMedicine (2025) Vol. 80, pp. 103069-103069
Closed Access
Concept drift and trace clustering: insights for managers from mining
Nikoo Ghourchian, Elham Akhondzadeh Noughabi
Management Decision (2025)
Closed Access
Design of an Improved Model Integrating Deep Autoencoders, Hierarchical Attention, and Graph Convolutional Networks for Advanced Medical Decision Support
Priyanka Deshmukh, Manoj Deshpande, Vijaykumar Pawar
SSRN Electronic Journal (2025)
Closed Access
Streamlined Deep Learning Approach for Real-Time Diabetes Risk Assessment
Amit Seth, K Vasudevan, Kuraku Nirmala, et al.
SSRN Electronic Journal (2025)
Closed Access
Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis
Mahreen Kiran, Ying Xie, Nasreen Anjum, et al.
Frontiers in Digital Health (2025) Vol. 7
Open Access
Recent Developments in Workflow Research in Healthcare
Mustafa Ozkaynak, Zhe Shan, Danny T Y Wu
(2025), pp. 97-113
Closed Access
Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients
Maria Mahbub, Sudarshan Srinivasan, Ioana Danciu, et al.
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262182-e0262182
Open Access | Times Cited: 21
Study On Diabetic Conditions Monitoring Using Deep Learning Application
R. Kishore Kanna, R. Chandrasekaran, Asraa Ahmed Khafel, et al.
(2023), pp. 363-366
Closed Access | Times Cited: 12
Process mining and data mining applications in the domain of chronic diseases: A systematic review
K.C. Chen, Farhad Abtahi, Juan Jesús Carrero, et al.
Artificial Intelligence in Medicine (2023) Vol. 144, pp. 102645-102645
Open Access | Times Cited: 12
Predicting Prolonged Length of ICU Stay through Machine Learning
Jingyi Wu, Yu Lin, Pengfei Li, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2242-2242
Open Access | Times Cited: 25
A robust deep neural network framework for the detection of diabetes
Osama R. Shahin, Hamoud Alshammari, Ahmad A. Alzahrani, et al.
Alexandria Engineering Journal (2023) Vol. 74, pp. 715-724
Open Access | Times Cited: 9
A deep learning approach for inpatient length of stay and mortality prediction
Junde Chen, Di Qi, Jacqueline Vu, et al.
Journal of Biomedical Informatics (2023) Vol. 147, pp. 104526-104526
Closed Access | Times Cited: 7
MCD-LightGBM System for Intelligent Analyzing Heterogeneous Clinical Drug Therapeutic Effects
Xiaohui Yang, Haojie Liao, Pei Sun, et al.
IEEE Journal of Biomedical and Health Informatics (2024), pp. 1-12
Open Access | Times Cited: 2
Improving prediction of maternal health risks using PCA features and TreeNet model
Leila Jamel, Muhammad Umer, Oumaima Saidani, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1982-e1982
Open Access | Times Cited: 2
Recent advancements using machine learning & deep learning approaches for diabetes detection: a systematic review
Neha Katiyar, Hardeo Kumar Thakur, Anindya Ghatak
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 9, pp. 100661-100661
Open Access | Times Cited: 2
Artificial Intelligence Tools in Pediatric Urology: A Comprehensive Review of Recent Advances
Adiba Tabassum Chowdhury, Abdus Salam, Mansura Naznine, et al.
Diagnostics (2024) Vol. 14, Iss. 18, pp. 2059-2059
Open Access | Times Cited: 2
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
Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion
Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang
Computers in Biology and Medicine (2022) Vol. 151, pp. 106278-106278
Closed Access | Times Cited: 11
A Data-Driven Approach to Support the Understanding and Improvement of Patients’ Journeys: A Case Study Using Electronic Health Records of an Emergency Department
Farhood Rismanchian, Sara Hosseinzadeh Kassani, Seyed Mahdi Shavarani, et al.
Value in Health (2022) Vol. 26, Iss. 1, pp. 18-27
Open Access | Times Cited: 9
Patient Mortality Prediction and Analysis of Health Cloud Data Using a Deep Neural Network
Abdullah Alourani, Kinza Tariq, Muhammad Tahir, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2391-2391
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top