OOIR: Observatory of International Research

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 2021-09-01 to 2025-09-01.)

Article	Citations
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives	363
	250
Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance	155
Issue Information	146
Issue Information	126
Machine learning methods for generating high dimensional discrete datasets	123
A literature review on satellite image time series forecasting: Methods and applications for remote sensing	98
	80
	75
	74
Smart city maturity models: A multidimensional synthesized approach	57
Deep learning in histopathology: A review	56
	46
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics	40
Review and data mining of linguistic studies of English modal verbs	38
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study	37
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022	34
A survey of autonomous monitoring systems in mental health	33
Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends	33
Multispectral data mining: A focus on remote sensing satellite images	33
Deepfake detection using deep learning methods: A systematic and comprehensive review	33
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications	33
	31
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives	31
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing	29

Issue Information	28
Mining the online infosphere: A survey	27
Issue Information	27
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.	27
Subgraph mining in a large graph: A review	27
Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence	26
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern	26
Does a language model “understand” high school math? A survey of deep learning based word problem solvers	25
A feature selection for video quality of experience modeling: A systematic literature review	23
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works	21
Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions	21
Data mining in predictive maintenance systems: A taxonomy and systematic review	20
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	20
Issue Information	18
Automated Detection of Non‐Alcoholic Fatty Liver Disease Using Histopathological Images: A Systematic Review	18
	18
Explaining artificial intelligence with visual analytics in healthcare	16
Issue Information	15
Issue Information	15
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review	14
Filter bubbles in recommender systems: Fact or fallacy—A systematic review	14
Issue Information	13
Detecting communities using social network analysis in online learning environments: Systematic literature review	13
Issue Information	12
Issue Information	10
Mapping the Landscape of Personalization: A Comprehensive Review of Prediction and Trends in Recommendation Systems	10
Epidemiological challenges in pandemic coronavirus disease (COVID‐19): Role of artificial intelligence	10
Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives	9
ExplainFix: Explainable spatially fixed deep networks	9
Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review	9
Pre‐trained language models: What do they know?	9
The use of gene expression datasets in feature selection research: 20 years of inherent bias?	9
How AI Contributes to Poverty Alleviation: A Systematic Literature Review	8
A taxonomy of automatic differentiation pitfalls	8
An Overview of Heterogeneous Social Network Analysis	8
A State‐Of‐The‐Art Survey of Remote Photoplethysmography for Contactless Health Parameters Sensing	8
The benefits and dangers of using machine learning to support making legal predictions	8
	7
	7
Machine learning for pest detection and infestation prediction: A comprehensive review	7
A review on multimodal zero‐shot learning	7
A survey on artificial intelligence in histopathology image analysis	7
A geometric framework for outlier detection in high‐dimensional data	7
Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review	6
A survey on federated learning in data mining	6
A Conceptual Framework for Human‐Centric and Semantics‐Based Explainable Event Detection	6
Use of artificial intelligence algorithms to predict systemic diseases from retinal images	6
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection	6
Geospatial Data Clustering in Network Space: A Survey	6

Multimodal emotion recognition: A comprehensive review, trends, and challenges	5
Overview of accurate coresets	5
Machine learning in postgenomic biology and personalized medicine	5
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies	5
AI‐Assisted Literature Review: Integrating Visualization and Geometric Features for Insightful Analysis	5
A review on client selection models in federated learning	5
	5
A topic modeling‐based bibliometric exploration of automatic summarization research	5
Neuromorphic Computing and Applications: A Topical Review	5
Issue Information	5
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples	4
A Comprehensive Survey of Argument Mining in the Educational Domain: Techniques, Applications, and Future Directions	4
Issue Information	4
Knowledge Graph for Solubility Big Data: Construction and Applications	4
Issue Information	4
Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis	4
Statistical and Machine Learning Approaches for Electrical Energy Forecasting	4
On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis	4
A comprehensive review on Arabic word sense disambiguation for natural language processing applications	4
A survey on datasets for fairness‐aware machine learning	3
Artificial Intelligence Techniques Enabled Soil Moisture Estimation Frameworks Using Remote Sensing Satellite Images: Challenges and Future Directions‐ Review	3
Issue Information	3
The state‐of‐art review of ultra‐precision machining using text mining: Identification of main themes and recommendations for the future direction	3
Addressing privacy concerns with wearable health monitoring technology	3
Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight	3
Issue Information	3
Artificial intelligence for climate change adaptation	3
A survey on artificial intelligence in pulmonary imaging	2
Data and text mining from online reviews: An automatic literature analysis	2
ICT‐Driven Data Mining Analysis in Civil Engineering: A Scientometric Review	2
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges	2
Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development	2
From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges	2
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review	2
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology	2
Process mining applications in the healthcare domain: A comprehensive review	2
Review of automated time series forecasting pipelines	2
A Systematic Review on Process Mining for Curricular Analysis	2
The Role of Causality in Explainable Artificial Intelligence	2
A systematic review of Green AI	2
The “Curious Case of Contexts” in Retrieval‐Augmented Generation With a Combination of Labeled and Unlabeled Data	2