Extracting Cycle-aware Feature Curve Networks from 3D Models

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Cite
Lu, Zhengda, et al. “Extracting Cycle-Aware Feature Curve Networks from 3D Models”. Computer-Aided Design, vol. 131, 2021, p. 102949, https://doi.org/10.1016/j.cad.2020.102949.
Lu, Z., Guo, J., Xiao, J., Wang, Y., Zhang, X., & Yan, D.-M. (2021). Extracting Cycle-aware Feature Curve Networks from 3D Models. Computer-Aided Design, 131, 102949. https://doi.org/10.1016/j.cad.2020.102949
Lu, Zhengda, Jianwei Guo, Jun Xiao, Ying Wang, Xiaopeng Zhang, and Dong-Ming Yan. “Extracting Cycle-Aware Feature Curve Networks from 3D Models”. Computer-Aided Design 131 (2021): 102949. https://doi.org/10.1016/j.cad.2020.102949.
Lu Z, Guo J, Xiao J, Wang Y, Zhang X, Yan DM. Extracting Cycle-aware Feature Curve Networks from 3D Models. Computer-Aided Design. 2021;131:102949.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
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Electronics
Computer engineering
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Refrences
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2020
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2018
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FlowRep

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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
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12 2017
Citations
Title Journal Journal Categories Citations Publication Date
Automatic 3D CAD models reconstruction from 2D orthographic drawings Computers & Graphics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
4 2023
WireframeNet: A novel method for wireframe generation from point cloud Computers & Graphics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
1 2023
Extracting 3-D Structural Lines of Building From ALS Point Clouds Using Graph Neural Network Embedded With Corner Information IEEE Transactions on Geoscience and Remote Sensing
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  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
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  • Science: Geology
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Prediction of Mechanical Properties of Three-Dimensional Printed Lattice Structures Through Machine Learning

Journal of Computing and Information Science in Engineering
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Manufactures
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Engineering (General). Civil engineering (General)
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Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Prediction of Mechanical Properties of Three-Dimensional Printed Lattice Structures Through Machine Learning and was published in 2021. The most recent citation comes from a 2023 study titled WireframeNet: A novel method for wireframe generation from point cloud. This article reached its peak citation in 2023, with 3 citations. It has been cited in 3 different journals. Among related journals, the Computers & Graphics cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year