Integrated Computer-Aided Engineering

Papers
(The TQCC of Integrated Computer-Aided Engineering 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 2021-04-01 to 2025-04-01.)
ArticleCitations
An explainable semi-personalized federated learning model73
Introduction54
A hardware efficient intra-cortical neural decoding approach based on spike train temporal information39
A Must-read Journal for Engineering30
Look inside 3D point cloud deep neural network by patch-wise saliency map28
Using sensor data to detect time-constraints in ontology evolution21
Summarization assessment methodology for multiple corpora using queries and classification for functional evaluation20
Lightweight encryption for short-range wireless biometric authentication systems in Industry 4.019
Rapid simulation method for assessing seismic damage to building curtain walls on a regional scale using designed wind load capacity19
Multi-label classification with imbalanced classes by fuzzy deep neural networks18
Stream-based explainable recommendations via blockchain profiling17
A self-adaptive multi-objective feature selection approach for classification problems16
Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps16
An efficient multi-robot path planning solution using A* and coevolutionary algorithms15
Geo-AI to aid disaster response by memory-augmented deep reservoir computing15
Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing14
An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance13
Auto-sharing parameters for transfer learning based on multi-objective optimization13
Efficient surface defect detection in industrial screen printing with minimized labeling effort12
Effectiveness of deep learning techniques in TV programs classification: A comparative analysis12
Multi-agent simulation of autonomous industrial vehicle fleets: Towards dynamic task allocation in V2X cooperation mode12
A methodology using classification for traffic prediction: Featuring the impact of COVID-1912
A broadcast sub-GHz framework for unmanned aerial vehicles clock synchronization11
Introduction11
Machine learning for video event recognition11
Predictor-corrector models for lightweight massive machine-type communications in Industry 4.011
Editorial: Making an impact10
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