Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Papers
(The TQCC of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is 10. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives397
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Machine learning methods for generating high dimensional discrete datasets167
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A literature review on satellite image time series forecasting: Methods and applications for remote sensing130
Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance106
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Smart city maturity models: A multidimensional synthesized approach76
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Deep learning in histopathology: A review58
46
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study42
Review and data mining of linguistic studies of English modal verbs41
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics37
Multispectral data mining: A focus on remote sensing satellite images36
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202236
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications35
Deepfake detection using deep learning methods: A systematic and comprehensive review34
A survey of autonomous monitoring systems in mental health34
Does a language model “understand” high school math? A survey of deep learning based word problem solvers34
Issue Information33
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence33
Correction to “Expression of Concern: Wang, C., Zhang, Q., Liu, W., Liu, Y. & Miao, L. Facial feature discovery for ethnicity recognition. WIREsData Mining Knowl. Discov. 31
Mining the online infosphere: A survey31
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Subgraph mining in a large graph: A review29
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Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends28
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives27
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing26
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works26
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern26
A feature selection for video quality of experience modeling: A systematic literature review26
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)23
Digital twins in healthcare: Applications, technologies, simulations, and future trends21
Data mining in predictive maintenance systems: A taxonomy and systematic review21
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Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions20
Explaining artificial intelligence with visual analytics in healthcare19
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Filter bubbles in recommender systems: Fact or fallacy—A systematic review14
Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review14
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review14
Issue Information13
Epidemiological challenges in pandemic coronavirus disease (COVID‐19): Role of artificial intelligence13
Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives13
Issue Information11
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Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems11
A survey on artificial intelligence in histopathology image analysis11
A taxonomy of automatic differentiation pitfalls10
The use of gene expression datasets in feature selection research: 20 years of inherent bias?10
Pre‐trained language models: What do they know?10
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