Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Papers
(The median citation count of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is 3. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Knowledge Graphs and Critical Infrastructures: Friends or Foes?619
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives368
The Evolving Landscape of Modern Regression: A Systematic Review and Mapping Study of Penalized, Algorithmic, and Interpretable Models249
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Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions98
A literature review on satellite image time series forecasting: Methods and applications for remote sensing75
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Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review54
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Smart city maturity models: A multidimensional synthesized approach52
Combating Digital Deception: A Taxonomical and Systematic Review of Deepfake Detection Approaches50
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study50
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202249
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics45
A Comprehensive Survey of Deep Learning Methods in Gastro‐Intestinal Wireless Capsule Endoscopy Images44
Data as an Asset: Economic Traits, Market Dynamics, and Monetization Challenges43
Quantum Frontiers in the Battle for Information Integrity43
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications38
A survey of autonomous monitoring systems in mental health38
Multispectral data mining: A focus on remote sensing satellite images37
Deepfake detection using deep learning methods: A systematic and comprehensive review35
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Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends31
Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review30
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Correction to “Expression of Concern: Wang, C., Zhang, Q., Liu, W., Liu, Y. & Miao, L. Facial feature discovery for ethnicity recognition. WIREs<27
Does a language model “understand” high school math? A survey of deep learning based word problem solvers25
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives23
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing22
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence22
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern22
Data mining in predictive maintenance systems: A taxonomy and systematic review21
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works21
A feature selection for video quality of experience modeling: A systematic literature review21
Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions20
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)20
Digital twins in healthcare: Applications, technologies, simulations, and future trends19
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Filter bubbles in recommender systems: Fact or fallacy—A systematic review16
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Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review16
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review16
Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems15
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Epidemiological challenges in pandemic coronavirus disease (COVID‐19): Role of artificial intelligence15
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Harnessing Earth Observation and Machine Learning for Sustainable Development Goals14
ExplainFix: Explainable spatially fixed deep networks13
Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives13
Pre‐trained language models: What do they know?12
An Overview of Heterogeneous Social Network Analysis11
A survey on artificial intelligence in histopathology image analysis11
The use of gene expression datasets in feature selection research: 20 years of inherent bias?11
A taxonomy of automatic differentiation pitfalls10
Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review10
Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review9
Security Solutions for the Internet of Things Using Machine Learning and Deep Learning: Current Trends and Future Directions9
How AI Contributes to Poverty Alleviation: A Systematic Literature Review9
Machine learning for pest detection and infestation prediction: A comprehensive review8
A review on multimodal zero‐shot learning8
A State‐Of‐The‐Art Survey of Remote Photoplethysmography for Contactless Health Parameters Sensing8
Geospatial Data Clustering in Network Space: A Survey8
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The benefits and dangers of using machine learning to support making legal predictions8
Use of artificial intelligence algorithms to predict systemic diseases from retinal images8
A Conceptual Framework for Human‐Centric and Semantics‐Based Explainable Event Detection8
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection7
A topic modeling‐based bibliometric exploration of automatic summarization research7
A geometric framework for outlier detection in high‐dimensional data7
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies7
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Multimodal emotion recognition: A comprehensive review, trends, and challenges6
AI‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis6
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The Intersection of Knowledge Graphs, Large Language Models, and Mass Spectrometry Data: Progress and Applications6
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Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review6
A Comprehensive Survey of Argument Mining in the Educational Domain: Techniques, Applications, and Future Directions5
Neuromorphic Computing and Applications: A Topical Review5
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Knowledge Graph for Solubility Big Data: Construction and Applications5
A Privacy‐Preserving Threat Intelligence Model for Secure Healthcare Data Sharing in the Cloud5
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From Traditional to Foundation Models: A Survey for Land Use and Land Cover Hyperspectral Image Classification5
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples5
The state‐of‐art review of ultra‐precision machining using text mining: Identification of main themes and recommendations for the future direction5
A review on client selection models in federated learning5
Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis5
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Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight4
The Evolution of Digital Image Forgery Detection: A Comprehensive Bibliometric Review, Trends, and Future Prospects4
A survey on artificial intelligence in pulmonary imaging4
Addressing privacy concerns with wearable health monitoring technology4
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Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development4
The Role of Causality in Explainable Artificial Intelligence4
Statistical and Machine Learning Approaches for Electrical Energy Forecasting4
On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis4
Artificial Intelligence Techniques Enabled Soil Moisture Estimation Frameworks Using Remote Sensing Satellite Images: Challenges and Future Directions‐ Review4
A Systematic Review on Process Mining for Curricular Analysis4
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review3
Nature‐Inspired Optimization Techniques in Deep Learning for Cybersecurity3
A survey of online video advertising3
The “Curious Case of Contexts” in Retrieval‐Augmented Generation With a Combination of Labeled and Unlabeled Data3
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology3
From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges3
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges3
Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review3
ICT‐Driven Data Mining Analysis in Civil Engineering: A Scientometric Review3
Review of automated time series forecasting pipelines3
A systematic review of Green AI3
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