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 2021-08-01 to 2025-08-01.)
ArticleCitations
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives346
231
Issue Information142
Issue Information141
Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance120
Machine learning methods for generating high dimensional discrete datasets112
A literature review on satellite image time series forecasting: Methods and applications for remote sensing95
73
73
71
Deep learning in histopathology: A review56
Smart city maturity models: A multidimensional synthesized approach52
46
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202238
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics37
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study36
Multispectral data mining: A focus on remote sensing satellite images33
A survey of autonomous monitoring systems in mental health33
Review and data mining of linguistic studies of English modal verbs33
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives31
Deepfake detection using deep learning methods: A systematic and comprehensive review31
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications31
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing30
Issue Information29
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. 28
Does a language model “understand” high school math? A survey of deep learning based word problem solvers28
Subgraph mining in a large graph: A review27
Mining the online infosphere: A survey27
Issue Information27
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence26
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern26
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works25
25
Data mining in predictive maintenance systems: A taxonomy and systematic review22
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)20
Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions18
Digital twins in healthcare: Applications, technologies, simulations, and future trends17
16
Issue Information16
Filter bubbles in recommender systems: Fact or fallacy—A systematic review15
Issue Information15
Issue Information15
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review15
Explaining artificial intelligence with visual analytics in healthcare14
Detecting communities using social network analysis in online learning environments: Systematic literature review14
Issue Information13
Issue Information13
Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems13
Issue Information11
Epidemiological challenges in pandemic coronavirus disease (COVID‐19): Role of artificial intelligence10
Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review10
Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives10
The use of gene expression datasets in feature selection research: 20 years of inherent bias?9
A survey on artificial intelligence in histopathology image analysis9
ExplainFix: Explainable spatially fixed deep networks9
Machine learning for pest detection and infestation prediction: A comprehensive review9
0.039418935775757