Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Papers
(The TQCC of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-02-01 to 2025-02-01.)
ArticleCitations
Data mining in predictive maintenance systems: A taxonomy and systematic review322
Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia186
Critical review of bio‐inspired data optimization techniques: An image steganalysis perspective132
A feature selection for video quality of experience modeling: A systematic literature review101
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Privacy protection in smart meters using homomorphic encryption: An overview66
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)54
Establishment and implementation of a clinical application and research database for surgical robots in China49
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A comprehensive review on Arabic word sense disambiguation for natural language processing applications40
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works38
A review on client selection models in federated learning37
Machine intelligence in dynamical systems: \A state‐of‐art review34
Digital twins in healthcare: Applications, technologies, simulations, and future trends30
Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis27
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Knowledge Graph for Solubility Big Data: Construction and Applications26
Hyper‐Parameter Optimization of Kernel Functions on Multi‐Class Text Categorization: A Comparative Evaluation25
Business Analytics in Customer Lifetime Value: An Overview Analysis24
Taxonomy of machine learning paradigms: A data‐centric perspective22
Machine learning and blockchain technologies for cybersecurity in connected vehicles21
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples21
Facial feature discovery for ethnicity recognition21
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Open source intelligence extraction for terrorism‐related information: A review16
Comparing programming languages for data analytics: Accuracy of estimation in Python and R16
Machine learning methods for generating high dimensional discrete datasets15
Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade14
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Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance14
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Navigating the metaverse: A technical review of emerging virtual worlds13
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Over‐optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results10
Addressing privacy concerns with wearable health monitoring technology10
The state‐of‐art review of ultra‐precision machining using text mining: Identification of main themes and recommendations for the future direction9
A literature review on satellite image time series forecasting: Methods and applications for remote sensing9
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On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis8
Text‐based question answering from information retrieval and deep neural network perspectives: A survey8
A novel methodology for Arabic news classification8
Filter bubbles in recommender systems: Fact or fallacy—A systematic review8
Multimodal sentimental analysis for social media applications: A comprehensive review8
Introduction to neural network‐based question answering over knowledge graphs8
Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions8
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