Data & Knowledge Engineering

Papers
(The H4-Index of Data & Knowledge Engineering is 16. 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
Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index60
Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools43
Group-based privacy preservation techniques for process mining29
The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers27
Modeling metadata in data lakes—A generic model27
Pairing conceptual modeling with machine learning27
Anomaly explanation: A review26
Machine learning-based risk prediction model for cardiovascular disease using a hybrid dataset24
Discovering business process simulation models in the presence of multitasking and availability constraints23
Types and taxonomic structures in conceptual modeling: A novel ontological theory and engineering support22
Forecasting cryptocurrency prices using Recurrent Neural Network and Long Short-term Memory22
Explicit and implicit oriented Aspect-Based Sentiment Analysis with optimal feature selection and deep learning for demonetization in India20
Trustworthy journalism through AI19
A fuzzy clustering technique for enhancing the convergence performance by using improved Fuzzy c-means and Particle Swarm Optimization algorithms19
Ontology-based semantic retrieval of documents using Word2vec model19
DBHC: A DBSCAN-based hierarchical clustering algorithm18
Transfer learning and sentiment analysis of Bahraini dialects sequential text data using multilingual deep learning approach16
Learning English and Arabic question similarity with Siamese Neural Networks in community question answering services16
Blockchain based Securing Medical Records in Big Data Analytics16
An artifact ontology for design science research16
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