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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:

Deep imputation of missing values in time series health data: A review with benchmarking
Maksims Kazijevs, Manar D. Samad
Journal of Biomedical Informatics (2023) Vol. 144, pp. 104440-104440
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Person-specific and pooled prediction models for binge eating, alcohol use and binge drinking in bulimia nervosa and alcohol use disorder
Nicolas Leenaerts, Peter D. Soyster, Jenny Ceccarini, et al.
Psychological Medicine (2024) Vol. 54, Iss. 10, pp. 2758-2773
Open Access | Times Cited: 4
Multimodal missing data in healthcare: A comprehensive review and future directions
Loan T. Le, Thu Nguyen, Michael Riegler, et al.
Computer Science Review (2025) Vol. 56, pp. 100720-100720
Closed Access
Deep clustering of tabular data by weighted Gaussian distribution learning
Shourav B. Rabbani, Iván Medri, Manar D. Samad
Neurocomputing (2025) Vol. 623, pp. 129359-129359
Closed Access
Augmenting Circadian Biology Research With Data Science
Severine Soltani, Jamison H. Burks, Benjamin L. Smarr
Journal of Biological Rhythms (2025)
Closed Access
Tensor time series imputation through tensor factor modelling
Zetai Cen, Clifford Lam
Journal of Econometrics (2025) Vol. 249, pp. 105974-105974
Open Access
Statistical evaluation of a diversified surface solar irradiation data repository and forecasting using a recurrent neural network-hybrid model: A case study in Bhutan
Sangay Gyeltshen, Kiichiro Hayashi, Linwei Tao, et al.
Renewable Energy (2025), pp. 122706-122706
Open Access
Data-driven ergonomic risk assessment of complex hand-intensive manufacturing processes
A.S. Anjana Krishnan, Xingjian Yang, Utsav Seth, et al.
Communications Engineering (2025) Vol. 4, Iss. 1
Open Access
DeepIFSAC: Deep imputation of missing values using feature and sample attention within contrastive framework
Ibna Kowsar, Shourav B. Rabbani, Y. R. Hou, et al.
Knowledge-Based Systems (2025), pp. 113506-113506
Closed Access
Clinical data mining: challenges, opportunities, and recommendations for translational applications
Huimin Qiao, Yijing Chen, Changshun Qian, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 3
Transformative applications of oculomics-based AI approaches in the management of systemic diseases: A systematic review
Zhongwen Li, Shiqi Yin, Shihong Wang, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 3
Attention versus contrastive learning of tabular data: a data-centric benchmarking
Shourav B. Rabbani, Iván Medri, Manar D. Samad
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 3
A Comprehensive Bibliometric Analysis of Missing Value Imputation
Heru Nugroho, Kridanto Surendro
IEEE Access (2024) Vol. 12, pp. 14819-14846
Open Access | Times Cited: 2
Machine Learning Based Missing Data Imputation in Categorical Datasets
Muhammad Ishaq, Sana Zahir, Laila iftikhar, et al.
IEEE Access (2024) Vol. 12, pp. 88332-88344
Open Access | Times Cited: 2
Ensemble machine learning framework for predicting maternal health risk during pregnancy
Alaa O. Khadidos, Farrukh Saleem, Shitharth Selvarajan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Enhancing data integrity in Electronic Health Records: Review of methods for handling missing data
Amin Vahdati, Sarah Cotterill, Antonia Marsden, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Attention-Based Imputation of Missing Values in Electronic Health Records Tabular Data
Ibna Kowsar, Shourav B. Rabbani, Manar D. Samad
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 177-182
Open Access | Times Cited: 1
Forecasting the trend of tuberculosis incidence in Anhui Province based on machine learning optimization algorithm, 2013–2023
Yan Zhang, Huan Ma, Hua Wang, et al.
BMC Pulmonary Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
State of Health Estimation for Lithium-Ion Batteries Based on Partial Charging Curve Reconstruction
Yiwen Sun, Qi Diao, Hongzhang Xu, et al.
IEEE Transactions on Power Electronics (2024) Vol. 40, Iss. 4, pp. 6107-6118
Closed Access
Nonlinear Regression with Hierarchical Recurrent Neural Networks Under Missing Data
Safa Onur Şahin, Süleyman S. Kozat
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 10, pp. 5012-5025
Closed Access
Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development (Preprint)
Hisashi Kurasawa, Kayo Waki, Tomohisa Seki, et al.
(2024)
Open Access
Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development
Hisashi Kurasawa, Kayo Waki, Tomohisa Seki, et al.
JMIR AI (2024) Vol. 3, pp. e56700-e56700
Open Access
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
TS-Pothole: automated imputation of missing values in univariate time series
Brell Sanwouo, Clément Quinton, Romain Rouvoy
Neural Computing and Applications (2024)
Open Access
Imputation Strategies in Time Series Based on Language Models
Michel Jacobsen, Marina Tropmann-Frick
Datenbank-Spektrum (2024) Vol. 24, Iss. 3, pp. 197-207
Open Access
Predicting rapid decline in kidney function among type 2 diabetes patients: a machine learning approach
Eri Nakahara, Kayo Waki, Hisashi Kurasawa, et al.
Heliyon (2024) Vol. 11, Iss. 1, pp. e40566-e40566
Open Access
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