Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Papers
(The H4-Index of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is 27. 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
Deepfake detection using deep learning methods: A systematic and comprehensive review31
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications31
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives31
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing30
Issue Information29
Does a language model “understand” high school math? A survey of deep learning based word problem solvers28
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
Subgraph mining in a large graph: A review27
Mining the online infosphere: A survey27
Issue Information27
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