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 10. 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
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer22
inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle20
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems16
Enabling multi-modal search for inspirational design stimuli using deep learning14
Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv514
Towards comprehensive digital evaluation of low-carbon machining process planning11
Potentials and challenges of analyzing use phase data in product planning of manufacturing companies11
Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN10
Gamification of design thinking: a way to enhance effectiveness of learning10
Breaking up data-enabled design: expanding and scaling up for the clinical context10
Finite-element analysis case retrieval based on an ontology semantic tree10
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