Representing implicit surfaces satisfying Lipschitz conditions by 4-dimensional point sets

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Cite
Yan, Ke, et al. “Representing Implicit Surfaces Satisfying Lipschitz Conditions by 4-Dimensional Point Sets”. Applied Mathematics and Computation, vol. 354, 2019, pp. 42-57, https://doi.org/10.1016/j.amc.2019.02.025.
Yan, K., Cheng, H.-L., & Huang, J. (2019). Representing implicit surfaces satisfying Lipschitz conditions by 4-dimensional point sets. Applied Mathematics and Computation, 354, 42-57. https://doi.org/10.1016/j.amc.2019.02.025
Yan, Ke, Ho-Lun Cheng, and Jing Huang. “Representing Implicit Surfaces Satisfying Lipschitz Conditions by 4-Dimensional Point Sets”. Applied Mathematics and Computation 354 (2019): 42-57. https://doi.org/10.1016/j.amc.2019.02.025.
Yan K, Cheng HL, Huang J. Representing implicit surfaces satisfying Lipschitz conditions by 4-dimensional point sets. Applied Mathematics and Computation. 2019;354:42-57.
Refrences
Title Journal Journal Categories Citations Publication Date
Accelerating smooth molecular surface calculation Journal of Mathematical Biology
  • Science: Biology (General)
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
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  • Science: Chemistry: Organic chemistry: Biochemistry
4 2018
Higher‐order accurate integration of implicit geometries

International Journal for Numerical Methods in Engineering
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  • Technology: Engineering (General). Civil engineering (General)
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99 2016
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  • Science: Mathematics
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ACM Transactions on Graphics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • 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
133 2013
Citations
Title Journal Journal Categories Citations Publication Date
Chiller fault detection and diagnosis with anomaly detective generative adversarial network Building and Environment
  • Technology: Building construction: Architectural engineering. Structural engineering of buildings
  • Technology: Engineering (General). Civil engineering (General): Environmental engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
56 2021
Unsupervised learning for fault detection and diagnosis of air handling units Energy and Buildings
  • Technology: Building construction: Architectural engineering. Structural engineering of buildings
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General)
96 2020
Citations Analysis
The category Technology: Building construction: Architectural engineering. Structural engineering of buildings 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Unsupervised learning for fault detection and diagnosis of air handling units and was published in 2020. The most recent citation comes from a 2021 study titled Chiller fault detection and diagnosis with anomaly detective generative adversarial network. This article reached its peak citation in 2021, with 1 citations. It has been cited in 2 different journals. Among related journals, the Building and Environment cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year