SUN: Top-down saliency using natural statistics

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/13506280902771138
  • Publication Date
    2009/08/01
  • Journal
    Visual Cognition
  • Indian UGC (journal)
  • Refrences
    60
  • Citations
    128
  • Christopher Kanan
  • Mathew H. Tong
  • Lingyun Zhang
  • Garrison W. Cottrell
Cite
Kanan, Christopher, et al. “SUN: Top-down Saliency Using Natural Statistics”. Visual Cognition, vol. 17, no. 6-7, 2009, pp. 979-1003, https://doi.org/10.1080/13506280902771138.
Kanan, C., Tong, M. H., Zhang, L., & Cottrell, G. W. (2009). SUN: Top-down saliency using natural statistics. Visual Cognition, 17(6-7), 979-1003. https://doi.org/10.1080/13506280902771138
Kanan, Christopher, Mathew H. Tong, Lingyun Zhang, and Garrison W. Cottrell. “SUN: Top-down Saliency Using Natural Statistics”. Visual Cognition 17, no. 6-7 (2009): 979-1003. https://doi.org/10.1080/13506280902771138.
Kanan C, Tong MH, Zhang L, Cottrell GW. SUN: Top-down saliency using natural statistics. Visual Cognition. 2009;17(6-7):979-1003.
Journal Categories
Medicine
Internal medicine
Neurosciences
Biological psychiatry
Neuropsychiatry
Neurology
Diseases of the nervous system
Psychiatry
Philosophy
Psychology
Religion
Psychology
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Human gaze prediction for 3D light field display based on multi-attention fusion network Optics Communications
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science60
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics46
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks41
Philosophy. Psychology. Religion: Psychology30
Technology: Engineering (General). Civil engineering (General)29
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software25
Science: Science (General): Cybernetics: Information theory23
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware21
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system: Psychiatry21
Technology: Mechanical engineering and machinery20
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry16
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication12
Medicine: Ophthalmology11
Science: Biology (General)10
Medicine9
Science: Chemistry: Organic chemistry: Biochemistry6
Technology: Technology (General): Industrial engineering. Management engineering: Information technology5
Science: Science (General)4
Science: Physics: Optics. Light4
Medicine: Medicine (General): Computer applications to medicine. Medical informatics4
Science3
Technology: Electrical engineering. Electronics. Nuclear engineering3
Technology: Chemical technology3
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials3
Science: Physics3
Medicine: Medicine (General)3
Science: Physiology3
Technology: Engineering (General). Civil engineering (General): Applied optics. Photonics2
Science: Physics: Acoustics. Sound2
Science: Biology (General): Cytology2
Technology: Photography2
Philosophy. Psychology. Religion: Psychology: Consciousness. Cognition2
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine1
Technology: Manufactures: Production management. Operations management1
Social Sciences: Commerce: Business1
Social Sciences: Economic theory. Demography: Economics as a science1
Science: Biology (General): Evolution1
Science: Biology (General): Ecology1
Technology: Environmental technology. Sanitary engineering1
Science: Mathematics1
Technology1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 60 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Current understanding of eye guidance and was published in 2009. The most recent citation comes from a 2024 study titled Human gaze prediction for 3D light field display based on multi-attention fusion network. This article reached its peak citation in 2017, with 18 citations. It has been cited in 71 different journals, 26% of which are open access. Among related journals, the IEEE Transactions on Image Processing cited this research the most, with 11 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year