Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Papers
(The TQCC of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is 9. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives421
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Issue Information202
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Machine learning methods for generating high dimensional discrete datasets119
A literature review on satellite image time series forecasting: Methods and applications for remote sensing101
Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance90
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Smart city maturity models: A multidimensional synthesized approach67
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Deep learning in histopathology: A review44
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Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study36
Review and data mining of linguistic studies of English modal verbs35
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics32
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202231
A survey of autonomous monitoring systems in mental health30
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications30
Multispectral data mining: A focus on remote sensing satellite images29
Mining the online infosphere: A survey28
Deepfake detection using deep learning methods: A systematic and comprehensive review28
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. 27
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Does a language model “understand” high school math? A survey of deep learning based word problem solvers26
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Subgraph mining in a large graph: A review25
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence25
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Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern24
Digital twins in healthcare: Applications, technologies, simulations, and future trends23
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing23
A feature selection for video quality of experience modeling: A systematic literature review20
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works20
Data mining in predictive maintenance systems: A taxonomy and systematic review20
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)19
Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions17
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Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review15
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Explaining artificial intelligence with visual analytics in healthcare14
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Filter bubbles in recommender systems: Fact or fallacy—A systematic review13
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Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems11
Issue Information11
Trending machine learning models in cyber‐physical building environment: A survey11
Epidemiological challenges in pandemic coronavirus disease (COVID‐19): Role of artificial intelligence10
Detecting communities using social network analysis in online learning environments: Systematic literature review10
The use of gene expression datasets in feature selection research: 20 years of inherent bias?9
The benefits and dangers of using machine learning to support making legal predictions9
How AI Contributes to Poverty Alleviation: A Systematic Literature Review9
ExplainFix: Explainable spatially fixed deep networks9
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