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 2021-05-01 to 2025-05-01.)
ArticleCitations
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives401
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Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance129
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Machine learning methods for generating high dimensional discrete datasets92
Multimodal sentimental analysis for social media applications: A comprehensive review83
A literature review on satellite image time series forecasting: Methods and applications for remote sensing80
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Smart city maturity models: A multidimensional synthesized approach64
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Deep learning in histopathology: A review61
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Review and data mining of linguistic studies of English modal verbs38
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Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202235
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study35
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics29
A survey of autonomous monitoring systems in mental health29
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications28
Multispectral data mining: A focus on remote sensing satellite images27
Mining the online infosphere: A survey26
Deepfake detection using deep learning methods: A systematic and comprehensive review26
Issue Information25
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. 25
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence24
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Subgraph mining in a large graph: A review23
Does a language model “understand” high school math? A survey of deep learning based word problem solvers23
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing23
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern22
A feature selection for video quality of experience modeling: A systematic literature review21
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)21
Data mining in predictive maintenance systems: A taxonomy and systematic review19
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works19
Digital twins in healthcare: Applications, technologies, simulations, and future trends18
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Filter bubbles in recommender systems: Fact or fallacy—A systematic review13
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Explaining artificial intelligence with visual analytics in healthcare13
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Trending machine learning models in cyber‐physical building environment: A survey10
Epidemiological challenges in pandemic coronavirus disease (COVID‐19): Role of artificial intelligence10
Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems10
Detecting communities using social network analysis in online learning environments: Systematic literature review9
A taxonomy of automatic differentiation pitfalls9
Pre‐trained language models: What do they know?9
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