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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 survey on missing data in machine learning
Tlamelo Emmanuel, Thabiso Maupong, Dimane Mpoeleng, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 520

Showing 1-25 of 520 citing articles:

Air Quality Index prediction using machine learning for Ahmedabad city
Nilesh Maltare, Safvan Vahora
Digital Chemical Engineering (2023) Vol. 7, pp. 100093-100093
Open Access | Times Cited: 58
Tree-based machine learning model for visualizing complex relationships between biochar properties and anaerobic digestion
Yi Zhang, Yijing Feng, Zhonghao Ren, et al.
Bioresource Technology (2023) Vol. 374, pp. 128746-128746
Closed Access | Times Cited: 46
Comparison of the effects of imputation methods for missing data in predictive modelling of cohort study datasets
Jiahang Li, Shuxia Guo, Rulin Ma, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 22
Understanding and Mitigating Bias in Imaging Artificial Intelligence
Ali S. Tejani, Yee S. Ng, Yin Xi, et al.
Radiographics (2024) Vol. 44, Iss. 5
Closed Access | Times Cited: 20
Application of machine learning techniques for warfarin dosage prediction: a case study on the MIMIC-III dataset
Aasim Ayaz Wani, Fatima Abeer
PeerJ Computer Science (2025) Vol. 11, pp. e2612-e2612
Open Access | Times Cited: 1
Prediction and detection of terminal diseases using Internet of Medical Things: A review
Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109835-109835
Open Access | Times Cited: 1
Applications of artificial intelligence and machine learning in heart failure
Tauben Averbuch, Kristen Sullivan, Andrew J. Sauer, et al.
European Heart Journal - Digital Health (2022) Vol. 3, Iss. 2, pp. 311-322
Open Access | Times Cited: 62
A Machine Learning Method with Filter-Based Feature Selection for Improved Prediction of Chronic Kidney Disease
Sarah A. Ebiaredoh-Mienye, Theo G. Swart, Ebenezer Esenogho, et al.
Bioengineering (2022) Vol. 9, Iss. 8, pp. 350-350
Open Access | Times Cited: 58
Machine learning: its challenges and opportunities in plant system biology
Mohsen Hesami, Milad Alizadeh, Andrew Maxwell Phineas Jones, et al.
Applied Microbiology and Biotechnology (2022) Vol. 106, Iss. 9-10, pp. 3507-3530
Closed Access | Times Cited: 48
Barometers Behaving Badly I: Assessing the Influence of Analytical and Experimental Uncertainty on Clinopyroxene Thermobarometry Calculations at Crustal Conditions
Penny Wieser, Adam J.R. Kent, C. B. Till, et al.
Journal of Petrology (2022) Vol. 64, Iss. 2
Open Access | Times Cited: 44
Missing Financial Data
Svetlana Bryzgalova, Sven Lerner, Martin Lettau, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 43
A machine learning model to predict the pyrolytic kinetics of different types of feedstocks
Shule Wang, Ziyi Shi, Yanghao Jin, et al.
Energy Conversion and Management (2022) Vol. 260, pp. 115613-115613
Open Access | Times Cited: 41
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
Learning from data with structured missingness
Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 1, pp. 13-23
Closed Access | Times Cited: 32
Prediction of diabetes disease using an ensemble of machine learning multi-classifier models
Karlo Abnoosian, Rahman Farnoosh, Mohammad Hassan Behzadi
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 32
Data preprocessing techniques: emergence and selection towards machine learning models - a practical review using HPA dataset
K. Mallikharjuna Rao, Ghanta Saikrishna, Kundrapu Supriya
Multimedia Tools and Applications (2023) Vol. 82, Iss. 24, pp. 37177-37196
Closed Access | Times Cited: 30
A review on missing values for main challenges and methods
Lijuan Ren, Tao Wang, Aïcha Sekhari, et al.
Information Systems (2023) Vol. 119, pp. 102268-102268
Closed Access | Times Cited: 26
Edge Computing Data Optimization for Smart Quality Management: Industry 5.0 Perspective
Bojana Bajić, Nikola Suzić, Slobodan Morača, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 6032-6032
Open Access | Times Cited: 25
Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework
Diju Liu, Yalin Wang, Chenliang Liu, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 2, pp. 1138-1150
Closed Access | Times Cited: 25
Prognostic artificial intelligence model to predict 5 year survival at 1 year after gastric cancer surgery based on nutrition and body morphometry
Heewon Chung, Yousun Ko, In‐Seob Lee, et al.
Journal of Cachexia Sarcopenia and Muscle (2023) Vol. 14, Iss. 2, pp. 847-859
Open Access | Times Cited: 24
Median-KNN Regressor-SMOTE-Tomek Links for Handling Missing and Imbalanced Data in Air Quality Prediction
Winoto Chandra, Bambang Suprihatin, Yulia Resti
Symmetry (2023) Vol. 15, Iss. 4, pp. 887-887
Open Access | Times Cited: 22
Predicting lung cancer survival based on clinical data using machine learning: A review
Fatimah Altuhaifa, Khin Than Win, Guoxin Su
Computers in Biology and Medicine (2023) Vol. 165, pp. 107338-107338
Open Access | Times Cited: 22
Prediction of shear behavior of glass FRP bars-reinforced ultra-highperformance concrete I-shaped beams using machine learning
Asif Ahmed, Md Nasir Uddin, Muhammad Akbar, et al.
International Journal of Mechanics and Materials in Design (2023) Vol. 20, Iss. 2, pp. 269-290
Open Access | Times Cited: 22
A review on machine learning approaches for microalgae cultivation systems
Tehreem Syed, Felix Krujatz, Yob Ihadjadene, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108248-108248
Open Access | Times Cited: 13
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