Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Papers
(The TQCC of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is 11. 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 2022-07-01 to 2026-07-01.)
ArticleCitations
The Evolving Landscape of Modern Regression: A Systematic Review and Mapping Study of Penalized, Algorithmic, and Interpretable Models689
Knowledge Graphs and Critical Infrastructures: Friends or Foes?402
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives278
273
Issue Information122
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A literature review on satellite image time series forecasting: Methods and applications for remote sensing105
Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions78
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Combating Digital Deception: A Taxonomical and Systematic Review of Deepfake Detection Approaches57
Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review56
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study54
Smart city maturity models: A multidimensional synthesized approach54
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202253
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics49
Quantum Frontiers in the Battle for Information Integrity45
Data as an Asset: Economic Traits, Market Dynamics, and Monetization Challenges44
A survey of autonomous monitoring systems in mental health43
Multispectral data mining: A focus on remote sensing satellite images40
A Comprehensive Survey of Deep Learning Methods in Gastro‐Intestinal Wireless Capsule Endoscopy Images39
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications36
Deepfake detection using deep learning methods: A systematic and comprehensive review32
Issue Information32
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Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review31
Does a language model “understand” high school math? A survey of deep learning based word problem solvers31
Correction to “Expression of Concern: Wang, C., Zhang, Q., Liu, W., Liu, Y. & Miao, L. Facial feature discovery for ethnicity recognition. WIREs<31
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives28
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern26
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence25
Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends25
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing25
Explainable Hallucination Mitigation in Large Language Models: A Survey24
A feature selection for video quality of experience modeling: A systematic literature review23
Digital twins in healthcare: Applications, technologies, simulations, and future trends22
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works21
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)20
Issue Information18
Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions18
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Issue Information17
Filter bubbles in recommender systems: Fact or fallacy—A systematic review17
Mental Fatigue in the Modern Era: Neurobiological Mechanisms, Sociocultural Influence, and Translational AI Application17
Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review16
Issue Information16
Large Language Model: Future of Healthcare Research With Challenges16
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review16
Issue Information15
Harnessing Earth Observation and Machine Learning for Sustainable Development Goals15
Issue Information15
Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems14
Recommender Systems: Taxonomy, Applications and Current Research Trends14
Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives13
The benefits and dangers of using machine learning to support making legal predictions12
How AI Contributes to Poverty Alleviation: A Systematic Literature Review12
A State‐Of‐The‐Art Survey of Remote Photoplethysmography for Contactless Health Parameters Sensing12
The use of gene expression datasets in feature selection research: 20 years of inherent bias?11
ExplainFix: Explainable spatially fixed deep networks11
A survey on artificial intelligence in histopathology image analysis11
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