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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 Benchmark for Data Imputation Methods
Sebastian Jäger, Arndt Allhorn, Felix Bießmann
Frontiers in Big Data (2021) Vol. 4
Open Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Data-centric Artificial Intelligence: A Survey
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 4
Handling missing data in near real-time environmental monitoring: A system and a review of selected methods
Yifan Zhang, Peter J. Thorburn
Future Generation Computer Systems (2021) Vol. 128, pp. 63-72
Open Access | Times Cited: 96
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: 39
The impact of imputation quality on machine learning classifiers for datasets with missing values
Tolou Shadbahr, Michael Roberts, Jan Stanczuk, et al.
Communications Medicine (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 33
Adaptive meta-learning extreme learning machine with golden eagle optimization and logistic map for forecasting the incomplete data of solar irradiance
Sarunyoo Boriratrit, Pradit Fuangfoo, Chitchai Srithapon, et al.
Energy and AI (2023) Vol. 13, pp. 100243-100243
Open Access | Times Cited: 22
Zero-touch networks: Towards next-generation network automation
Mirna El Rajab, Li Yang, Abdallah Shami
Computer Networks (2024) Vol. 243, pp. 110294-110294
Open Access | Times Cited: 13
Synthetic Data and its Utility in Pathology and Laboratory Medicine
Joshua Pantanowitz, Christopher D Manko, Liron Pantanowitz, et al.
Laboratory Investigation (2024) Vol. 104, Iss. 8, pp. 102095-102095
Closed Access | Times Cited: 10
On the consistency of supervised learning with missing values
Julie Josse, Nicolas Prost, Erwan Scornet, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 57
New advances in prediction and surveillance of preeclampsia: role of machine learning approaches and remote monitoring
Max Hackelöer, Leon Schmidt, Stefan Verlohren
Archives of Gynecology and Obstetrics (2022) Vol. 308, Iss. 6, pp. 1663-1677
Open Access | Times Cited: 28
On the consistency of supervised learning with missing values
Julie Josse, Jacob M. Chen, Nicolas Prost, et al.
Statistical Papers (2024) Vol. 65, Iss. 9, pp. 5447-5479
Open Access | Times Cited: 6
Missing Value Imputation of Wireless Sensor Data for Environmental Monitoring
Thomas Decorte, Steven Mortier, Jonas J. Lembrechts, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2416-2416
Open Access | Times Cited: 5
Using Optimization Algorithms for Effective Missing-Data Imputation: A Case Study of Tabular Data Derived from Video Surveillance
Mona Mohamed Eid, Kamal A. ElDahshan, Abdelatif H. Abouali, et al.
Algorithms (2025) Vol. 18, Iss. 3, pp. 119-119
Open Access
Benchmarking missing-values approaches for predictive models on health databases
Alexandre Pérez, Gaël Varoquaux, Marine Le Morvan, et al.
GigaScience (2022) Vol. 11
Open Access | Times Cited: 25
RETRACTED ARTICLE: Prediction of gestational diabetes based on explainable deep learning and fog computing
Nora El-Rashidy, Nesma E. ElSayed, Amir El-Ghamry, et al.
Soft Computing (2022) Vol. 26, Iss. 21, pp. 11435-11450
Open Access | Times Cited: 23
Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence
Nina de Lacy, Michael J. Ramshaw, Elizabeth McCauley, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
An open-source framework for end-to-end analysis of electronic health record data
Lukas Heumos, Philipp Ehmele, Tim Treis, et al.
Nature Medicine (2024) Vol. 30, Iss. 11, pp. 3369-3380
Open Access | Times Cited: 4
Tracking-removed neural network with graph information for classification of incomplete data
Xiaochen Lai, Zheng Zhang, Hui Chen, et al.
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
A Benchmark for Missing Data Imputation Techniques: Development Perspectives and Performance Comparative
Juan-Francisco Cabrera-Sánchez, Carlos Cruz Corona, Andrés Yáñez Escolano, et al.
Communications in computer and information science (2025), pp. 140-153
Closed Access
Exploring the Impact of Demographic, Architectural, and Well-Being Factors on Health Outcomes in Informal Settlements: The Role of Daylight, Window Depth, and Building Orientation
Emal Ahmad Hussainzad, Zhonghua Gou
Wellbeing Space and Society (2025), pp. 100242-100242
Open Access
Methods for Estimating Resting Energy Expenditure in Intensive Care Patients: A comparative study of Predictive Equations with Machine Learning and Deep Learning Approaches
Christopher Yew Shuen Ang, Mohd Basri Mat Nor, Nurdiana Nordin, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 262, pp. 108657-108657
Closed Access
Does Income Inequality Influence Energy Consumption in the European Union?
Mihaela Simionescu, Bogdan Oancea
Energies (2025) Vol. 18, Iss. 4, pp. 787-787
Open Access
Cyclical hybrid imputation technique for missing values in data sets
Kurban Kotan, Serdar KIRIŞOĞLU
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Data Readiness for AI: A 360-Degree Survey
Kaveen Hiniduma, Suren Byna, Jean Luca Bez
ACM Computing Surveys (2025)
Open Access
Data Quality Strategies in Gas Metal Arc Welding Production for Machine Learning Applications
Jorge Rodríguez-Echeverría, Evans Doe Ocansey, Roxana-Maria Holom, et al.
Lecture notes in networks and systems (2025), pp. 83-94
Closed Access
Had Enough of Experts? Quantitative Knowledge Retrieval From Large Language Models
David Selby, Yuichiro Iwashita, Kai Spriestersbach, et al.
Stat (2025) Vol. 14, Iss. 2
Open Access
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