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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:

A weighted patient network-based framework for predicting chronic diseases using graph neural networks
Haohui Lu, Shahadat Uddin
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions
Showmick Guha Paul, Arpa Saha, Md. Zahid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 15145-15170
Open Access | Times Cited: 17
Disease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends
Haohui Lu, Shahadat Uddin
Healthcare (2023) Vol. 11, Iss. 7, pp. 1031-1031
Open Access | Times Cited: 30
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning
Dejia Zhou, Hang Qiu, Liya Wang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13
Graph Artificial Intelligence in Medicine
Ruth Johnson, Michelle M. Li, Ayush Noori, et al.
Annual Review of Biomedical Data Science (2024) Vol. 7, Iss. 1, pp. 345-368
Open Access | Times Cited: 5
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
Self-supervised learning for graph-structured data in healthcare applications: A comprehensive review
Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109874-109874
Open Access
Graph-Based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis With Synthetic Functional Brain Network Generation
Ji-Hye Oh, Deok-Joong Lee, Chang-Hoon Ji, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1504-1515
Open Access | Times Cited: 10
Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier
Pooja Yadav, S. C. Sharma, Rajesh Mahadeva, et al.
IEEE Access (2023) Vol. 11, pp. 80030-80055
Open Access | Times Cited: 9
Comorbidity-based framework for Alzheimer’s disease classification using graph neural networks
Ferial Abuhantash, Mohd Khalil Abu Hantash, Aamna AlShehhi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Interpretable Disease Prediction via Path Reasoning over medical knowledge graphs and admission history
Zongbao Yang, Yuchen Lin, Yinxin Xu, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111082-111082
Closed Access | Times Cited: 8
Predicting onset of disease progression using temporal disease occurrence networks
Gulraiz Iqbal Choudhary, Pasi Fränti
International Journal of Medical Informatics (2023) Vol. 175, pp. 105068-105068
Open Access | Times Cited: 7
Charting paths to recovery: Navigating traumatic brain injury comorbidities through graph theory–exploring benefits and challenges
Shyam Kumar Sudhakar, K. Mehta
Brain Organoid and Systems Neuroscience Journal (2024) Vol. 2, pp. 10-16
Open Access | Times Cited: 2
Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning
Hang Wu, Wenqi Shi, May D. Wang
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Embedding-based link predictions to explore latent comorbidity of chronic diseases
Haohui Lu, Shahadat Uddin
Health Information Science and Systems (2022) Vol. 11, Iss. 1
Closed Access | Times Cited: 10
A machine learning software tool for multiclass classification
Shangzhou Wang, Haohui Lu, Arif Khan, et al.
Software Impacts (2022) Vol. 13, pp. 100383-100383
Open Access | Times Cited: 9
Graph Node Classification to Predict Autism Risk in Genes
Danushka Bandara, Kyle Riccardi
Genes (2024) Vol. 15, Iss. 4, pp. 447-447
Open Access | Times Cited: 1
Topology-Aware Multimodal Fusion for Neural Dynamics Representation Learning and Classification
N. Rahimi, Chetan Kumar, John McLinden, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21062-21073
Closed Access | Times Cited: 1
Self-explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction (Preprint)
Xinyue Hu, Zenan Sun, Yi Nian, et al.
JMIR Aging (2024) Vol. 7, pp. e54748-e54748
Open Access | Times Cited: 1
Effective cardiac disease classification using FS-XGB and GWO approach
S. Daphin Lilda, R Jayaparvathy
Medical Engineering & Physics (2024) Vol. 132, pp. 104239-104239
Closed Access | Times Cited: 1
Predicting the daily number of patients for allergic diseases using PM10 concentration based on spatiotemporal graph convolutional networks
Hyeon-Ju Jeon, Hyeon-Jin Jeon, Seung Ho Jeon
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0304106-e0304106
Open Access | Times Cited: 1
A novel graph methodology for analyzing disease risk factor distribution using synthetic patient data
Anjun Chen
Healthcare Analytics (2022) Vol. 2, pp. 100084-100084
Open Access | Times Cited: 6
An adaptive Butterworth spectral-based graph neural network for detecting ionospheric total electron content precursor prior to the Wenchuan earthquake on 12 May 2008
Jyh‐Woei Lin
Geocarto International (2022) Vol. 37, Iss. 26, pp. 14292-14308
Closed Access | Times Cited: 5
Heterogeneous graph construction and HinSAGE learning from electronic medical records
Ha Na Cho, Imjin Ahn, Hansle Gwon, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Predicting the risk of mortality in ICU patients based on dynamic graph attention network of patient similarity
Manfu Ma, Penghui Sun, Yong Li, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 8, pp. 15326-15344
Open Access | Times Cited: 2
XInsight: Revealing Model Insights for GNNs with Flow-Based Explanations
Eli Laird, Ayesh Madushanka, Elfi Kraka, et al.
Communications in computer and information science (2023), pp. 303-320
Closed Access | Times Cited: 2
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