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 2022-06-01 to 2026-06-01.)
ArticleCitations
The Evolving Landscape of Modern Regression: A Systematic Review and Mapping Study of Penalized, Algorithmic, and Interpretable Models652
Knowledge Graphs and Critical Infrastructures: Friends or Foes?387
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives265
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Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions100
A literature review on satellite image time series forecasting: Methods and applications for remote sensing76
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Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review56
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Combating Digital Deception: A Taxonomical and Systematic Review of Deepfake Detection Approaches53
Smart city maturity models: A multidimensional synthesized approach53
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study51
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics49
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202248
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 survey of autonomous monitoring systems in mental health39
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications38
Deepfake detection using deep learning methods: A systematic and comprehensive review37
Multispectral data mining: A focus on remote sensing satellite images35
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Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review32
Correction to “Expression of Concern: Wang, C., Zhang, Q., Liu, W., Liu, Y. & Miao, L. Facial feature discovery for ethnicity recognition. WIREs<31
Does a language model “understand” high school math? A survey of deep learning based word problem solvers26
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern25
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives25
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing25
Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends23
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence23
Data mining in predictive maintenance systems: A taxonomy and systematic review22
A feature selection for video quality of experience modeling: A systematic literature review21
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works20
Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions20
Digital twins in healthcare: Applications, technologies, simulations, and future trends20
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)20
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Filter bubbles in recommender systems: Fact or fallacy—A systematic review17
Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review17
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review17
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 Goals15
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Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems15
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Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives13
Recommender Systems: Taxonomy, Applications and Current Research Trends13
A State‐Of‐The‐Art Survey of Remote Photoplethysmography for Contactless Health Parameters Sensing12
Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges12
How AI Contributes to Poverty Alleviation: A Systematic Literature Review12
The benefits and dangers of using machine learning to support making legal predictions11
The use of gene expression datasets in feature selection research: 20 years of inherent bias?10
ExplainFix: Explainable spatially fixed deep networks10
An Overview of Heterogeneous Social Network Analysis10
Pre‐trained language models: What do they know?10
Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review9
Machine learning for pest detection and infestation prediction: A comprehensive review9
Security Solutions for the Internet of Things Using Machine Learning and Deep Learning: Current Trends and Future Directions9
A taxonomy of automatic differentiation pitfalls9
A survey on artificial intelligence in histopathology image analysis9
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection8
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Geospatial Data Clustering in Network Space: A Survey8
A review on multimodal zero‐shot learning8
Use of artificial intelligence algorithms to predict systemic diseases from retinal images8
A Conceptual Framework for Human‐Centric and Semantics‐Based Explainable Event Detection8
Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review8
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies7
Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review7
A geometric framework for outlier detection in high‐dimensional data7
The Intersection of Knowledge Graphs, Large Language Models, and Mass Spectrometry Data: Progress and Applications7
Multimodal emotion recognition: A comprehensive review, trends, and challenges6
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AI‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis6
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A topic modeling‐based bibliometric exploration of automatic summarization research6
Neuromorphic Computing and Applications: A Topical Review6
A Privacy‐Preserving Threat Intelligence Model for Secure Healthcare Data Sharing in the Cloud6
Knowledge Graph for Solubility Big Data: Construction and Applications5
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples5
Statistical and Machine Learning Approaches for Electrical Energy Forecasting5
Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis5
From Traditional to Foundation Models: A Survey for Land Use and Land Cover Hyperspectral Image Classification5
The state‐of‐art review of ultra‐precision machining using text mining: Identification of main themes and recommendations for the future direction5
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A review on client selection models in federated learning5
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A Comprehensive Survey of Argument Mining in the Educational Domain: Techniques, Applications, and Future Directions5
Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight4
On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis4
A survey on artificial intelligence in pulmonary imaging4
The Evolution of Digital Image Forgery Detection: A Comprehensive Bibliometric Review, Trends, and Future Prospects4
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
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Addressing privacy concerns with wearable health monitoring technology4
Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development4
The Role of Causality in Explainable Artificial Intelligence3
ICT‐Driven Data Mining Analysis in Civil Engineering: A Scientometric Review3
The “Curious Case of Contexts” in Retrieval‐Augmented Generation With a Combination of Labeled and Unlabeled Data3
A comprehensive survey of personal knowledge graphs3
From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges3
Nature‐Inspired Optimization Techniques in Deep Learning for Cybersecurity3
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review3
Review of automated time series forecasting pipelines3
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology3
A systematic review of Green AI3
A Review of Unlabeled and Imbalanced Data Challenges in Machine Learning: Strategies and Solutions3
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges3
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