Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Papers
(The H4-Index of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is 21. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Explainable artificial intelligence: an analytical review201
Interpretability of machine learning‐based prediction models in healthcare182
A historical perspective of explainable Artificial Intelligence118
A critical review of state‐of‐the‐art chatbot designs and applications78
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges78
The use of machine learning in sport outcome prediction: A review48
Combating disinformation in a social media age48
Explainable artificial intelligence and machine learning: A reality rooted perspective47
A survey on datasets for fairness‐aware machine learning44
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges42
An overview of unsupervised drift detection methods41
Multimodal sentimental analysis for social media applications: A comprehensive review36
Methods and tools for causal discovery and causal inference35
Data stream analysis: Foundations, major tasks and tools33
Text‐based question answering from information retrieval and deep neural network perspectives: A survey31
Validation of cluster analysis results on validation data: A systematic framework29
A systematic review of Green AI26
Smart city and resilient city: Differences and connections26
Knowledge discovery from remote sensing images: A review25
Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review25
Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota21
The role ofAIfor developing digital twins in healthcare: The case of cancer care21
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