Data & Knowledge Engineering

Papers
(The H4-Index of Data & Knowledge Engineering is 21. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Editorial63
Convolutional neural network-based high-precision and speed detection system on CIDDS-00146
On efficient top-k transaction path query processing in blockchain database39
Multi-level conceptual modeling: Theory, language and application36
The power and potentials of Flexible Query Answering Systems: A critical and comprehensive analysis34
Blockchain-based ontology driven reference framework for security risk management34
From base data to knowledge discovery – A life cycle approach – Using multilayer networks33
Unraveling the foundations and the evolution of conceptual modeling—Intellectual structure, current themes, and trajectories32
Static and dynamic techniques for iterative test-driven modelling of Dynamic Condition Response Graphs32
Providing healthcare shopping advice through knowledge-based virtual agents31
How to build data-driven Strategy Maps? A methodological framework proposition28
PROADAPT: Proactive framework for adaptive partitioning for big data warehouses27
Generating multiple conceptual models from behavior-driven development scenarios27
Editorial Board27
Reasoning on responsibilities for optimal process alignment computation26
Enhancing the convolution-based knowledge graph embeddings by increasing dimension-wise interactions24
A transformer-based neural network framework for full names prediction with abbreviations and contexts24
Evaluating quality of ontology-driven conceptual models abstractions24
A new sentence embedding framework for the education and professional training domain with application to hierarchical multi-label text classification23
A design theory for data quality tools in data ecosystems: Findings from three industry cases23
Graph data temporal evolutions: From conceptual modelling to implementation22
Fusion learning of preference and bias from ratings and reviews for item recommendation21
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