AI EDAM-Artificial Intelligence for Engineering Design Analysis and Ma

Papers
(The H4-Index of AI EDAM-Artificial Intelligence for Engineering Design Analysis and Ma is 9. 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
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer17
Enabling multi-modal search for inspirational design stimuli using deep learning14
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems14
Potentials and challenges of analyzing use phase data in product planning of manufacturing companies11
inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle11
Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv511
Gamification of design thinking: a way to enhance effectiveness of learning10
Towards comprehensive digital evaluation of low-carbon machining process planning9
Finite-element analysis case retrieval based on an ontology semantic tree9
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