Knowledge Engineering Review

Papers
(The median citation count of Knowledge Engineering Review 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Reinforcement actor-critic learning as a rehearsal in MicroRTS17
Applied logic and semantics on indoor and urban adaptive design through knowledge graphs, reasoning and explainable argumentation13
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots – Corrigendum12
An analysis and review of robot magic shows9
Lightweight mechatronic system for humanoid robot8
Adaptive learning with artificial barriers yielding Nash equilibria in general games6
Reformulation techniques for automated planning: a systematic review6
Evaluation metrics and dimensional reduction for binary classification algorithms: a case study on bankruptcy prediction4
An online scalarization multi-objective reinforcement learning algorithm: TOPSIS Q-learning4
A hierarchical deep reinforcement learning algorithm for typing with a dual-arm humanoid robot4
An agent-based model of COVID-19 pandemic and its variants using fuzzy subsets and real data applied in an island environment3
A comprehensive survey on advertising click-through rate prediction algorithm3
‘I don’t want to play with you anymore’: dynamic partner judgements in moody reinforcement learners playing the prisoner’s dilemma2
Top-k high utility itemset mining: current status and future directions2
Using active learning and an agent-based system to perform interactive knowledge extraction based on the COVID-19 corpus2
OWL ontology evolution: understanding and unifying the complex changes2
A survey of evolutionary algorithms for supervised ensemble learning2
A survey on semantic question answering systems1
XR4DRAMA a knowledge-based system for disaster management and media planning1
D-MEANDS-MD: an improved evolutionary algorithm with memory and diversity strategies applied to a discrete, dynamic, and many-objective optimization problem1
Using Pareto simulated annealing to address algorithmic bias in machine learning1
Usefulness of Information for Achieving Goals with Disjunctive Premises1
A business process meta-model: construction from the literature and ontological clarifications1
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