AI EDAM-Artificial Intelligence for Engineering Design Analysis and Ma

Papers
(The TQCC of AI EDAM-Artificial Intelligence for Engineering Design Analysis and Ma is 3. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
The epsilon-knowledge: an emerging complement of Machlup's types of disciplinary knowledge15
Synthetic users: insights from designers’ interactions with persona-based chatbots13
Evaluating the learning and performance characteristics of self-organizing systems with different task features11
inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle10
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems10
Design change prediction based on social media sentiment analysis9
Neural networks with dimensionality reduction for predicting temperature change due to plastic deformation in a cold rolling simulation8
Generation of human–robot collaboration disassembly sequences for end-of-life lithium–ion batteries based on knowledge graph8
Sitting posture detection and recognition of aircraft passengers using machine learning8
Free-text inspiration search for systematic bio-inspiration support of engineering design7
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
Enabling multi-modal search for inspirational design stimuli using deep learning7
Design of an intelligent simulator ANN and ANFIS model in the prediction of milling performance (QCE) of alloy 2017A6
A stochastic topology optimization algorithm for improved fluid dynamics systems5
Mapping artificial intelligence-based methods to engineering design stages: a focused literature review5
ChatGPT as an inventor: eliciting the strengths and weaknesses of current large language models against humans in engineering design5
Comparative analysis of machine learning algorithms for predicting standard time in a manufacturing environment4
Potentials and challenges of analyzing use phase data in product planning of manufacturing companies4
Analyzing problem framing in design teams: a systems mapping approach4
Extenics enhanced axiomatic design procedure for AI applications4
Data-enabled sketch search and retrieval for visual design stimuli generation4
Automated generation of floor plans with minimum bends4
Design without representation4
AIE volume 35 issue 4 Cover and Back matter4
Data-inspired co-design for museum and gallery visitor experiences3
Exploring the impact of set-based concurrent engineering through multi-agent system simulation3
A user model to directly compare two unmodified interfaces: a study of including errors and error corrections in a cognitive user model3
A one-step calibration method without redundant parameters for a laser stripe sensor3
A study on the link between design brief structure and stimulus fidelity to optimize novelty and usefulness3
Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv53
Linear kitchen layout design via machine learning3
An ontology-based fault generation and fault propagation analysis approach for safety-critical computer systems at the design stage3
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