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 2022-01-01 to 2026-01-01.)
ArticleCitations
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives488
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A literature review on satellite image time series forecasting: Methods and applications for remote sensing154
Machine learning methods for generating high dimensional discrete datasets120
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Smart city maturity models: A multidimensional synthesized approach66
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Review and data mining of linguistic studies of English modal verbs48
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics44
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202244
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study44
Multispectral data mining: A focus on remote sensing satellite images44
A Comprehensive Survey of Deep Learning Methods in Gastro‐Intestinal Wireless Capsule Endoscopy Images42
A survey of autonomous monitoring systems in mental health39
Deepfake detection using deep learning methods: A systematic and comprehensive review39
Does a language model “understand” high school math? A survey of deep learning based word problem solvers38
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications38
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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. 36
Mining the online infosphere: A survey35
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A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives30
Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends30
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing27
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern26
Subgraph mining in a large graph: A review21
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence20
Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review19
Data mining in predictive maintenance systems: A taxonomy and systematic review18
A feature selection for video quality of experience modeling: A systematic literature review17
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works17
Digital twins in healthcare: Applications, technologies, simulations, and future trends16
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)16
Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions15
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Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review13
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review13
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Epidemiological challenges in pandemic coronavirus disease (COVID‐19): Role of artificial intelligence12
Filter bubbles in recommender systems: Fact or fallacy—A systematic review12
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Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives11
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Harnessing Earth Observation and Machine Learning for Sustainable Development Goals11
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Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review11
Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems11
ExplainFix: Explainable spatially fixed deep networks10
A State‐Of‐The‐Art Survey of Remote Photoplethysmography for Contactless Health Parameters Sensing10
The use of gene expression datasets in feature selection research: 20 years of inherent bias?10
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