Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Papers
(The median citation count of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is 2. 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
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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
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Deep learning in histopathology: A review56
Smart city maturity models: A multidimensional synthesized approach52
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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
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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
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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
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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
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Filter bubbles in recommender systems: Fact or fallacy—A systematic review15
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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
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Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems13
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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
ExplainFix: Explainable spatially fixed deep networks9
Machine learning for pest detection and infestation prediction: A comprehensive review9
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
A taxonomy of automatic differentiation pitfalls8
The benefits and dangers of using machine learning to support making legal predictions8
How AI Contributes to Poverty Alleviation: A Systematic Literature Review8
Pre‐trained language models: What do they know?8
An Overview of Heterogeneous Social Network Analysis8
A geometric framework for outlier detection in high‐dimensional data7
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A survey on federated learning in data mining7
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Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review6
A topic modeling‐based bibliometric exploration of automatic summarization research6
Use of artificial intelligence algorithms to predict systemic diseases from retinal images6
Geospatial Data Clustering in Network Space: A Survey6
Overview of accurate coresets5
Multimodal emotion recognition: A comprehensive review, trends, and challenges5
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection5
Neuromorphic Computing and Applications: A Topical Review5
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A Conceptual Framework for Human‐Centric and Semantics‐Based Explainable Event Detection5
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A review on multimodal zero‐shot learning5
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies5
The state‐of‐art review of ultra‐precision machining using text mining: Identification of main themes and recommendations for the future direction4
Knowledge Graph for Solubility Big Data: Construction and Applications4
Machine learning in postgenomic biology and personalized medicine4
A comprehensive review on Arabic word sense disambiguation for natural language processing applications4
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples4
Addressing privacy concerns with wearable health monitoring technology4
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A review on client selection models in federated learning4
Statistical and Machine Learning Approaches for Electrical Energy Forecasting4
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AI‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis4
Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis4
A survey on datasets for fairness‐aware machine learning3
Artificial Intelligence Techniques Enabled Soil Moisture Estimation Frameworks Using Remote Sensing Satellite Images: Challenges and Future Directions‐ Review3
A survey on artificial intelligence in pulmonary imaging3
Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight3
Artificial intelligence for climate change adaptation3
Review of automated time series forecasting pipelines3
On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis3
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A Systematic Review on Process Mining for Curricular Analysis3
The Role of Causality in Explainable Artificial Intelligence2
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review2
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A comprehensive survey of personal knowledge graphs2
Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review2
Data and text mining from online reviews: An automatic literature analysis2
ICT‐Driven Data Mining Analysis in Civil Engineering: A Scientometric Review2
From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges2
Process mining applications in the healthcare domain: A comprehensive review2
A survey of online video advertising2
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology2
Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development2
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges2
A systematic review of Green AI2
The “Curious Case of Contexts” in Retrieval‐Augmented Generation With a Combination of Labeled and Unlabeled Data2
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