Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Papers
(The median citation count of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery is 1. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Explainable artificial intelligence: an analytical review298
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges150
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges99
A critical review of state‐of‐the‐art chatbot designs and applications97
A systematic review of Green AI66
A survey on datasets for fairness‐aware machine learning62
Methods and tools for causal discovery and causal inference54
Validation of cluster analysis results on validation data: A systematic framework47
Multimodal sentimental analysis for social media applications: A comprehensive review45
Data stream analysis: Foundations, major tasks and tools41
Text‐based question answering from information retrieval and deep neural network perspectives: A survey38
The role ofAIfor developing digital twins in healthcare: The case of cancer care34
Interpretable and explainable machine learning: A methods‐centric overview with concrete examples32
Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review30
A survey on federated learning in data mining27
A survey on artificial intelligence in histopathology image analysis27
Deepfake detection using deep learning methods: A systematic and comprehensive review27
Review of automated time series forecasting pipelines26
A review on data fusion in multimodal learning analytics and educational data mining26
Time series analysis via network science: Concepts and algorithms25
A comprehensive review on updating concept lattices and its application in updating association rules25
Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota22
A survey of biodiversity informatics: Concepts, practices, and challenges21
Review on publicly available datasets for educational data mining21
Review of artificial intelligence‐based question‐answering systems in healthcare21
Critical insights into modern hyperspectral image applications through deep learning20
Themes in data mining, big data, and crime analytics19
Predicting land surface temperature with geographically weighed regression and deep learning17
Process mining applications in the healthcare domain: A comprehensive review16
Deep learning in histopathology: A review16
Introduction to neural network‐based question answering over knowledge graphs16
Explaining artificial intelligence with visual analytics in healthcare14
Taxonomy of machine learning paradigms: A data‐centric perspective14
A review on multimodal zero‐shot learning14
Data mining in predictive maintenance systems: A taxonomy and systematic review14
Detecting communities using social network analysis in online learning environments: Systematic literature review13
Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia13
Artificial intelligence for climate change adaptation13
Over‐optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results12
Table understanding approaches for extracting knowledge from heterogeneous tables12
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works12
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–202212
Machine learning and blockchain technologies for cybersecurity in connected vehicles11
A 2021 update on cancer image analytics with deep learning11
Dynamical algorithms for data mining and machine learning over dynamic graphs11
Filter bubbles in recommender systems: Fact or fallacy—A systematic review10
Deepfake attribution: On the source identification of artificially generated images10
Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions10
Trending machine learning models in cyber‐physical building environment: A survey10
Machine intelligence in dynamical systems: \A state‐of‐art review10
The development of regional smart energy systems in the World and China: The concepts, practices, and a new perspective9
A comprehensive review on Arabic word sense disambiguation for natural language processing applications9
Subgraph mining in a large graph: A review9
Scholarly data mining: A systematic review of its applications9
Discovery of behavioral patterns in online social commerce practice8
Deep learning based image steganography: A review8
Data and text mining from online reviews: An automatic literature analysis8
On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis8
Sentiment analysis using fuzzy logic: A comprehensive literature review8
A review of bus arrival time prediction using artificial intelligence8
Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective7
Gaining insights in datasets in the shade of “garbage in, garbage out” rationale: Feature space distribution fitting7
Predicting the ratings of Amazon products using Big Data7
Multivariate temporal data analysis ‐ a review7
A white paper on good research practices in benchmarking: The case of cluster analysis7
Table understanding: Problem overview6
Privacy protection in smart meters using homomorphic encryption: An overview6
Foundational ontologies, ontology‐driven conceptual modeling, and their multiple benefits to data mining6
A survey on machine learning based light curve analysis for variable astronomical sources6
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology6
Predictive machine learning in optimizing the performance of electric vehicle batteries: Techniques, challenges, and solutions5
A survey on artificial intelligence in pulmonary imaging5
UnsupervisedEHR‐based phenotyping via matrix and tensor decompositions5
DeepFixCX: Explainable privacy‐preserving image compression for medical image analysis5
Multispectral data mining: A focus on remote sensing satellite images5
Machine learning in postgenomic biology and personalized medicine4
Short‐term photovoltaic power forecasting with adaptive stochastic configuration network ensemble4
Privacy preserving classification over differentially private data4
Overview of accurate coresets4
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics4
Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance4
Big data analytics in single‐cell transcriptomics: Five grand opportunities4
A novel methodology for Arabic news classification4
Towards federated learning: An overview of methods and applications3
A comprehensive survey of personal knowledge graphs3
Mining text from natural scene and video images: A survey3
Epidemiological challenges in pandemic coronavirus disease (COVID‐19): Role of artificial intelligence2
The role of lifelong machine learning in bridging the gap between human and machine learning: A scientometric analysis2
Data mining for energy systems: Review and prospect2
A literature review on satellite image time series forecasting: Methods and applications for remote sensing2
The use of gene expression datasets in feature selection research: 20 years of inherent bias?2
Computational resources in healthcare2
Machine learning methods for generating high dimensional discrete datasets2
Prediction model for recurrence of hepatocellular carcinoma after resection by using neighbor2vec based algorithms2
Research on mining software repositories to facilitate refactoring2
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies1
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Knowledge graph‐driven data processing for business intelligence1
Bias in human data: A feedback from social sciences1
Navigating the metaverse: A technical review of emerging virtual worlds1
A review on client selection models in federated learning1
Mining the online infosphere: A survey1
A topic modeling‐based bibliometric exploration of automatic summarization research1
Corporate investment prediction using a weighted temporal graph neural network1
ExplainFix: Explainable spatially fixed deep networks1
Investigation ofPM10prediction utilizing data mining techniques: Analyze by topic1
Open source intelligence extraction for terrorism‐related information: A review1
Critical review of bio‐inspired data optimization techniques: An image steganalysis perspective1
Incorporating domain ontology information into clustering in heterogeneous networks1
Use of artificial intelligence algorithms to predict systemic diseases from retinal images1
The benefits and dangers of using machine learning to support making legal predictions1
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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 direction1
Comparing programming languages for data analytics: Accuracy of estimation in Python and R1
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