Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Papers
(The H4-Index of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is 22. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Explainable artificial intelligence: an analytical review298
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges150
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges99
A critical review of state‐of‐the‐art chatbot designs and applications97
A systematic review of Green AI66
A survey on datasets for fairness‐aware machine learning62
Methods and tools for causal discovery and causal inference54
Validation of cluster analysis results on validation data: A systematic framework47
Multimodal sentimental analysis for social media applications: A comprehensive review45
Data stream analysis: Foundations, major tasks and tools41
Text‐based question answering from information retrieval and deep neural network perspectives: A survey38
The role ofAIfor developing digital twins in healthcare: The case of cancer care34
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples32
Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review30
A survey on federated learning in data mining27
A survey on artificial intelligence in histopathology image analysis27
Deepfake detection using deep learning methods: A systematic and comprehensive review27
Review of automated time series forecasting pipelines26
A review on data fusion in multimodal learning analytics and educational data mining26
Time series analysis via network science: Concepts and algorithms25
A comprehensive review on updating concept lattices and its application in updating association rules25
Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota22
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