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 7. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Enabling multi-modal search for inspirational design stimuli using deep learning31
The epsilon-knowledge: an emerging complement of Machlup's types of disciplinary knowledge13
Synthetic users: insights from designers’ interactions with persona-based chatbots12
The role of Hofstede's cultural dimensions in the design of user interface: the case of Arabic11
Free-text inspiration search for systematic bio-inspiration support of engineering design10
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems8
Evaluating the learning and performance characteristics of self-organizing systems with different task features8
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer7
Visualizing design project team and individual progress using NLP: a comparison between latent semantic analysis and Word2Vector algorithms7
A novel intelligent fault diagnosis method of bearing based on multi-head self-attention convolutional neural network7
Sitting posture detection and recognition of aircraft passengers using machine learning7
inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle7
Design change prediction based on social media sentiment analysis7
Neural networks with dimensionality reduction for predicting temperature change due to plastic deformation in a cold rolling simulation7
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