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 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 artificial intelligence in histopathology image analysis27
Deepfake detection using deep learning methods: A systematic and comprehensive review27
A survey on federated learning in data mining27
A review on data fusion in multimodal learning analytics and educational data mining26
Review of automated time series forecasting pipelines26
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
Review on publicly available datasets for educational data mining21
Review of artificial intelligence‐based question‐answering systems in healthcare21
A survey of biodiversity informatics: Concepts, practices, and challenges21
Critical insights into modern hyperspectral image applications through deep learning20
Themes in data mining, big data, and crime analytics19
Predicting land surface temperature with geographically weighed regression and deep learning17
Deep learning in histopathology: A review16
Introduction to neural network‐based question answering over knowledge graphs16
Process mining applications in the healthcare domain: A comprehensive review16
Taxonomy of machine learning paradigms: A data‐centric perspective14
A review on multimodal zero‐shot learning14
Data mining in predictive maintenance systems: A taxonomy and systematic review14
Explaining artificial intelligence with visual analytics in healthcare14
Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia13
Artificial intelligence for climate change adaptation13
Detecting communities using social network analysis in online learning environments: Systematic literature review13
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works12
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202212
Over‐optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results12
Table understanding approaches for extracting knowledge from heterogeneous tables12
Dynamical algorithms for data mining and machine learning over dynamic graphs11
Machine learning and blockchain technologies for cybersecurity in connected vehicles11
A 2021 update on cancer image analytics with deep learning11
Deepfake attribution: On the source identification of artificially generated images10
Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions10
Trending machine learning models in cyber‐physical building environment: A survey10
Machine intelligence in dynamical systems: \A state‐of‐art review10
Filter bubbles in recommender systems: Fact or fallacy—A systematic review10
Subgraph mining in a large graph: A review9
Scholarly data mining: A systematic review of its applications9
The development of regional smart energy systems in the World and China: The concepts, practices, and a new perspective9
A comprehensive review on Arabic word sense disambiguation for natural language processing applications9
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