OOIR: Observatory of International Research

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 2022-08-01 to 2026-08-01.)

Article	Citations
The Evolving Landscape of Modern Regression: A Systematic Review and Mapping Study of Penalized, Algorithmic, and Interpretable Models	721
Knowledge Graphs and Critical Infrastructures: Friends or Foes?	415
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives	297
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Issue Information	128
Issue Information	122
A literature review on satellite image time series forecasting: Methods and applications for remote sensing	105
Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions	80
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Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review	64
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Combating Digital Deception: A Taxonomical and Systematic Review of Deepfake Detection Approaches	59
Smart city maturity models: A multidimensional synthesized approach	56
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study	54
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics	53
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022	52
Quantum Frontiers in the Battle for Information Integrity	44
Data as an Asset: Economic Traits, Market Dynamics, and Monetization Challenges	43
A survey of autonomous monitoring systems in mental health	43
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications	39
A Comprehensive Survey of Deep Learning Methods in Gastro‐Intestinal Wireless Capsule Endoscopy Images	37
Multispectral data mining: A focus on remote sensing satellite images	36
Deepfake detection using deep learning methods: A systematic and comprehensive review	36

Issue Information	33
Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review	32
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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<	31
Does a language model “understand” high school math? A survey of deep learning based word problem solvers	28
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence	27
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing	26
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives	26
Explainable Hallucination Mitigation in Large Language Models: A Survey	26
A feature selection for video quality of experience modeling: A systematic literature review	25
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern	25
Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends	25
Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions	23
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works	23
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 trends	19
Issue Information	19
Issue Information	19
Mental Fatigue in the Modern Era: Neurobiological Mechanisms, Sociocultural Influence, and Translational AI Application	18
Issue Information	18
Large Language Model: Future of Healthcare Research With Challenges	17
Filter bubbles in recommender systems: Fact or fallacy—A systematic review	17
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review	17
Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review	17
Issue Information	16
Issue Information	16
Issue Information	16
Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives	15
Recommender Systems: Taxonomy, Applications and Current Research Trends	14
Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems	13
How AI Contributes to Poverty Alleviation: A Systematic Literature Review	13
Remote Sensing Techniques Shaping the Future of Wildfire Early Detection	13
Harnessing Earth Observation and Machine Learning for Sustainable Development Goals	13
A State‐Of‐The‐Art Survey of Remote Photoplethysmography for Contactless Health Parameters Sensing	13
Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review	12
Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review	12
ExplainFix: Explainable spatially fixed deep networks	12
Security Solutions for the Internet of Things Using Machine Learning and Deep Learning: Current Trends and Future Directions	12
An Overview of Heterogeneous Social Network Analysis	11
Machine learning for pest detection and infestation prediction: A comprehensive review	11
Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges	11
The use of gene expression datasets in feature selection research: 20 years of inherent bias?	11
A taxonomy of automatic differentiation pitfalls	10
Pre‐trained language models: What do they know?	10
The benefits and dangers of using machine learning to support making legal predictions	10
A Conceptual Framework for Human‐Centric and Semantics‐Based Explainable Event Detection	9
Geospatial Data Clustering in Network Space: A Survey	9
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A geometric framework for outlier detection in high‐dimensional data	9
Use of artificial intelligence algorithms to predict systemic diseases from retinal images	9

Multimodal emotion recognition: A comprehensive review, trends, and challenges	8
A review on multimodal zero‐shot learning	8
Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review	8
The Intersection of Knowledge Graphs, Large Language Models, and Mass Spectrometry Data: Progress and Applications	8
A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications	8
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection	8
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A topic modeling‐based bibliometric exploration of automatic summarization research	7
Issue Information	7
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies	7
Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis	6
A Privacy‐Preserving Threat Intelligence Model for Secure Healthcare Data Sharing in the Cloud	6
AI‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis	6
Neuromorphic Computing and Applications: A Topical Review	6
From Traditional to Foundation Models: A Survey for Land Use and Land Cover Hyperspectral Image Classification	6
Issue Information	6
Issue Information	6
A review on client selection models in federated learning	6
A Comprehensive Survey of Argument Mining in the Educational Domain: Techniques, Applications, and Future Directions	5
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples	5
Issue Information	5
Bridging Data‐Driven Intelligence and Expert‐Driven Knowledge: A Systematic Review of the RF ‐ AHP	5
Knowledge Graph for Solubility Big Data: Construction and Applications	5
On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis	5
Role of Human‐Centric Approach Toward Digital Sovereignty: A Systematic Literature Review	5
Issue Information	4
Artificial Intelligence Techniques Enabled Soil Moisture Estimation Frameworks Using Remote Sensing Satellite Images: Challenges and Future Directions‐ Review	4
The state‐of‐art review of ultra‐precision machining using text mining: Identification of main themes and recommendations for the future direction	4
Issue Information	4
A Comprehensive Review of Infant Cry Analysis and Classification: Techniques, Challenges, and Future Directions	4
Statistical and Machine Learning Approaches for Electrical Energy Forecasting	4
Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy	4
A Systematic Review on Process Mining for Curricular Analysis	4
Nature‐Inspired Optimization Techniques in Deep Learning for Cybersecurity	4
Addressing privacy concerns with wearable health monitoring technology	4
Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight	4
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology	3
ICT‐Driven Data Mining Analysis in Civil Engineering: A Scientometric Review	3
The Evolution of Digital Image Forgery Detection: A Comprehensive Bibliometric Review, Trends, and Future Prospects	3
A comprehensive survey of personal knowledge graphs	3
A survey on artificial intelligence in pulmonary imaging	3
Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development	3
A systematic review of Green AI	3
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review	3
The Role of Causality in Explainable Artificial Intelligence	3
From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges	3
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges	3
Review of automated time series forecasting pipelines	3