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 2022-01-01 to 2026-01-01.)
ArticleCitations
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives488
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A literature review on satellite image time series forecasting: Methods and applications for remote sensing154
Machine learning methods for generating high dimensional discrete datasets120
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Smart city maturity models: A multidimensional synthesized approach66
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Review and data mining of linguistic studies of English modal verbs48
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202244
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study44
Multispectral data mining: A focus on remote sensing satellite images44
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics44
A Comprehensive Survey of Deep Learning Methods in Gastro‐Intestinal Wireless Capsule Endoscopy Images42
Deepfake detection using deep learning methods: A systematic and comprehensive review39
A survey of autonomous monitoring systems in mental health39
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications38
Does a language model “understand” high school math? A survey of deep learning based word problem solvers38
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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. WIREsData Mining Knowl. Discov. 36
Mining the online infosphere: A survey35
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Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends30
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives30
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing27
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern26
Subgraph mining in a large graph: A review21
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence20
Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review19
Data mining in predictive maintenance systems: A taxonomy and systematic review18
A feature selection for video quality of experience modeling: A systematic literature review17
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works17
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)16
Digital twins in healthcare: Applications, technologies, simulations, and future trends16
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Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions15
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Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review13
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Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review13
Filter bubbles in recommender systems: Fact or fallacy—A systematic review12
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Epidemiological challenges in pandemic coronavirus disease (COVID‐19): Role of artificial intelligence12
Harnessing Earth Observation and Machine Learning for Sustainable Development Goals11
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Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review11
Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems11
Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives11
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A State‐Of‐The‐Art Survey of Remote Photoplethysmography for Contactless Health Parameters Sensing10
The use of gene expression datasets in feature selection research: 20 years of inherent bias?10
ExplainFix: Explainable spatially fixed deep networks10
How AI Contributes to Poverty Alleviation: A Systematic Literature Review9
Machine learning for pest detection and infestation prediction: A comprehensive review9
The benefits and dangers of using machine learning to support making legal predictions9
A taxonomy of automatic differentiation pitfalls9
Pre‐trained language models: What do they know?9
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A survey on artificial intelligence in histopathology image analysis8
A geometric framework for outlier detection in high‐dimensional data8
A Conceptual Framework for Human‐Centric and Semantics‐Based Explainable Event Detection8
Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review8
An Overview of Heterogeneous Social Network Analysis8
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection7
Use of artificial intelligence algorithms to predict systemic diseases from retinal images6
Multimodal emotion recognition: A comprehensive review, trends, and challenges6
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Geospatial Data Clustering in Network Space: A Survey6
A review on multimodal zero‐shot learning6
Machine learning in postgenomic biology and personalized medicine6
A topic modeling‐based bibliometric exploration of automatic summarization research6
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies6
AI‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis6
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Neuromorphic Computing and Applications: A Topical Review5
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples5
Statistical and Machine Learning Approaches for Electrical Energy Forecasting5
A comprehensive review on Arabic word sense disambiguation for natural language processing applications5
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Knowledge Graph for Solubility Big Data: Construction and Applications5
A review on client selection models in federated learning5
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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
Addressing privacy concerns with wearable health monitoring technology4
A survey on datasets for fairness‐aware machine learning4
A Comprehensive Survey of Argument Mining in the Educational Domain: Techniques, Applications, and Future Directions4
On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis4
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The state‐of‐art review of ultra‐precision machining using text mining: Identification of main themes and recommendations for the future direction4
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Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development3
Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight3
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A survey on artificial intelligence in pulmonary imaging3
Artificial intelligence for climate change adaptation3
ICT‐Driven Data Mining Analysis in Civil Engineering: A Scientometric Review3
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review3
Artificial Intelligence Techniques Enabled Soil Moisture Estimation Frameworks Using Remote Sensing Satellite Images: Challenges and Future Directions‐ Review3
From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges3
A Review of Unlabeled and Imbalanced Data Challenges in Machine Learning: Strategies and Solutions2
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology2
The “Curious Case of Contexts” in Retrieval‐Augmented Generation With a Combination of Labeled and Unlabeled Data2
Data and text mining from online reviews: An automatic literature analysis2
Gaining insights in datasets in the shade of “garbage in, garbage out” rationale: Feature space distribution fitting2
Towards federated learning: An overview of methods and applications2
Establishment and implementation of a clinical application and research database for surgical robots in China2
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges2
The Role of Causality in Explainable Artificial Intelligence2
Review of automated time series forecasting pipelines2
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Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans2
A systematic review on detection and adaptation of concept drift in streaming data using machine learning techniques2
Business Analytics in Customer Lifetime Value: An Overview Analysis2
A comprehensive survey of personal knowledge graphs2
A systematic review of Green AI2
A Systematic Review on Process Mining for Curricular Analysis2
Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review2
Algorithmic Profiling and Facial Recognition in EU Border Control: Examining ETIAS Decision‐Making, Privacy and Law2
XAI ‐Guided Continual Learning: Rationale, Methods, and Future Directions2
A survey of online video advertising2
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