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 11. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle23
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems22
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer16
Enabling multi-modal search for inspirational design stimuli using deep learning14
Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv514
Potentials and challenges of analyzing use phase data in product planning of manufacturing companies13
Towards comprehensive digital evaluation of low-carbon machining process planning12
Gamification of design thinking: a way to enhance effectiveness of learning12
Finite-element analysis case retrieval based on an ontology semantic tree12
CNN–NSDBO–EWTOPSIS: A hybrid multi-objective optimization approach for concrete mixture proportion design problem11
Breaking up data-enabled design: expanding and scaling up for the clinical context11
Convolutional autoencoder for on-demand parametric inverse design of local resonator geometry in wind turbine metastructure targeting vibration control11
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