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:

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
Mingxuan Liu, Siqi Li, Han Yuan, et al.
Artificial Intelligence in Medicine (2023) Vol. 142, pp. 102587-102587
Open Access | Times Cited: 42

Showing 26-50 of 42 citing articles:

Moving Beyond Medical Statistics: A Systematic Review on Missing Data Handling in Electronic Health Records
Wenhui Ren, Zheng Liu, Yanqiu Wu, et al.
Health Data Science (2024) Vol. 4
Open Access | Times Cited: 1
Data Imputation in Healthcare Applications
Subhashish Nayak, Pabitra Mohan Khilar
Advances in healthcare information systems and administration book series (2024), pp. 49-67
Closed Access | Times Cited: 1
From breast cancer to fertility outcomes: increasing understanding of urgent fertility preservation
Shunshun Cao, Yangyang Hu
Fertility and Sterility (2024) Vol. 123, Iss. 2, pp. 375-375
Closed Access | Times Cited: 1
Faster Imputation Using Singular Value Decomposition for Sparse Data
Phuc Nguyen, Linh G. H. Tran, Bao Le, et al.
Lecture notes in computer science (2023), pp. 135-146
Closed Access | Times Cited: 2
Statistical Inference Methods for Clinical Medical Data with Missing and Truncated Data
Kejin Cai
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Handling of outcome missing data dependent on measured or unmeasured background factors in micro-randomized trial: Simulation and application study
Masahiro Kondo, Koji Oba
Digital Health (2024) Vol. 10
Open Access
Explainable Artificial Intelligence for Medical Science
Jamie Duell
(2024)
Open Access
Handling Missing Data in COVID-19 Incidence Estimation: Secondary Data Analysis
Pham Hai Thanh, Đỗ Thị Thanh Toàn, Jonggyu Baek, et al.
JMIR Public Health and Surveillance (2024) Vol. 10, pp. e53719-e53719
Open Access
Improving kNN Classification Performance with Correlated Attribute Imputation Mechanism
Elenita T. Caparino
(2024), pp. 287-294
Closed Access
Comparative Analysis of Machine Learning Models and Key Risk Factors in Advancing Predictive Analytics for Coronary Heart Disease Over a Decade
Jingyang Gao
Science and Technology of Engineering Chemistry and Environmental Protection (2024) Vol. 1, Iss. 8
Open Access
Dynamic Imputation Techniques for Enhancing Predictive Accuracy in Healthcare Data
Rayan Dayyeh, Raneem Qaddoura, Islam AlOmari
(2024), pp. 1-6
Closed Access
Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches?
Youran Zhou, Mohamed Reda Bouadjenek, Sunil Aryal
Lecture notes in computer science (2024), pp. 100-115
Closed Access
Predicting Biochemical and Physiological Parameters: Deep Learning from IgG Glycome Composition
Ana Vujić, Marija Klasić, Gordan Lauc, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 18, pp. 9988-9988
Open Access
Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care (Preprint)
Bengie L. Ortiz, Vibhuti Gupta, Rajnish Kumar, et al.
(2024)
Closed Access
Enhancing Performance of Machine Learning Models in Healthcare: An Analytical Framework for Assessing and Improving Data Quality
Areen Al-Hgaish, Rodziah Atan, Yaakob Razali, et al.
Lecture notes in networks and systems (2024), pp. 137-153
Closed Access
The Potential of Metabolomics in Colorectal Cancer Prognosis
Chengqu Fu, Xinyi Liu, Le Wang, et al.
Metabolites (2024) Vol. 14, Iss. 12, pp. 708-708
Open Access
Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets
Hanif Kia, Mansour Vali, Hadi Sabahi
arXiv (Cornell University) (2023)
Open Access
Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets
Hanif Kia, Mansour Vali, Hadi Sabahi
(2023), pp. 90-97
Open Access
Previous Page - Page 2

Scroll to top