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 2022-05-01 to 2026-05-01.)
ArticleCitations
Knowledge Graphs and Critical Infrastructures: Friends or Foes?619
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives368
The Evolving Landscape of Modern Regression: A Systematic Review and Mapping Study of Penalized, Algorithmic, and Interpretable Models249
238
Issue Information105
Issue Information105
Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions98
A literature review on satellite image time series forecasting: Methods and applications for remote sensing75
64
55
Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review54
53
Smart city maturity models: A multidimensional synthesized approach52
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study50
Combating Digital Deception: A Taxonomical and Systematic Review of Deepfake Detection Approaches50
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202249
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics45
A Comprehensive Survey of Deep Learning Methods in Gastro‐Intestinal Wireless Capsule Endoscopy Images44
Quantum Frontiers in the Battle for Information Integrity43
Data as an Asset: Economic Traits, Market Dynamics, and Monetization Challenges43
A survey of autonomous monitoring systems in mental health38
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications38
Multispectral data mining: A focus on remote sensing satellite images37
Deepfake detection using deep learning methods: A systematic and comprehensive review35
Issue Information33
Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends31
Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review30
28
Correction to “Expression of Concern: Wang, C., Zhang, Q., Liu, W., Liu, Y. & Miao, L. Facial feature discovery for ethnicity recognition. WIREs<27
Does a language model “understand” high school math? A survey of deep learning based word problem solvers25
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives23
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence22
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern22
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing22
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works21
A feature selection for video quality of experience modeling: A systematic literature review21
Data mining in predictive maintenance systems: A taxonomy and systematic review21
Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions20
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)20
19
Digital twins in healthcare: Applications, technologies, simulations, and future trends19
Issue Information18
Issue Information17
Issue Information17
Issue Information16
Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review16
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review16
Filter bubbles in recommender systems: Fact or fallacy—A systematic review16
Epidemiological challenges in pandemic coronavirus disease (COVID‐19): Role of artificial intelligence15
Issue Information15
Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems15
Issue Information15
Harnessing Earth Observation and Machine Learning for Sustainable Development Goals14
ExplainFix: Explainable spatially fixed deep networks13
Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives13
Pre‐trained language models: What do they know?12
A survey on artificial intelligence in histopathology image analysis11
The use of gene expression datasets in feature selection research: 20 years of inherent bias?11
An Overview of Heterogeneous Social Network Analysis11
0.061833143234253