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
Review and data mining of linguistic studies of English modal verbs33
Multispectral data mining: A focus on remote sensing satellite images33
A survey of autonomous monitoring systems in mental health33
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications31
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives31
Deepfake detection using deep learning methods: A systematic and comprehensive review31
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
Mining the online infosphere: A survey27
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Subgraph mining in a large graph: A review27
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern26
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence26
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Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works25
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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Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review15
Filter bubbles in recommender systems: Fact or fallacy—A systematic review15
Detecting communities using social network analysis in online learning environments: Systematic literature review14
Explaining artificial intelligence with visual analytics in healthcare14
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Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems13
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Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives10
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
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
ExplainFix: Explainable spatially fixed deep networks9
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 taxonomy of automatic differentiation pitfalls8
The benefits and dangers of using machine learning to support making legal predictions8
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A survey on federated learning in data mining7
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A geometric framework for outlier detection in high‐dimensional data7
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
Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review6
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
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
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Statistical and Machine Learning Approaches for Electrical Energy Forecasting4
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A review on client selection models in federated learning4
Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis4
The state‐of‐art review of ultra‐precision machining using text mining: Identification of main themes and recommendations for the future direction4
AI‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis4
Knowledge Graph for Solubility Big Data: Construction and Applications4
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
Machine learning in postgenomic biology and personalized medicine4
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
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
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
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
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