Detection of regular objects in baggage using multiple X-ray views
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2013/01/01
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Indian UGC (journal)
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Citations16
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D Mery
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G Mondragon
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V Riffo
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I Zuccar
Cite
Mery, D, et al. “Detection of Regular Objects in Baggage Using Multiple X-Ray Views”. Insight - Non-Destructive Testing and Condition Monitoring, vol. 55, no. 1, 2013, pp. 16-20, https://doi.org/10.1784/insi.2012.55.1.16.
Mery, D., Mondragon, G., Riffo, V., & Zuccar, I. (2013). Detection of regular objects in baggage using multiple X-ray views. Insight - Non-Destructive Testing and Condition Monitoring, 55(1), 16-20. https://doi.org/10.1784/insi.2012.55.1.16
Mery D, Mondragon G, Riffo V, Zuccar I. Detection of regular objects in baggage using multiple X-ray views. Insight - Non-Destructive Testing and Condition Monitoring. 2013;55(1):16-20.
Journal Categories
Science
Mathematics
Instruments and machines
Technology
Electrical engineering
Electronics
Nuclear engineering
Materials of engineering and construction
Mechanics of materials
Technology
Engineering (General)
Civil engineering (General)
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Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging | Pattern Recognition |
| 47 | 2022 |
| Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging | Pattern Recognition |
| 47 | 2022 |
Recent Advances in Baggage Threat Detection: A Comprehensive and Systematic Survey | ACM Computing Surveys |
| 6 | 2022 |
MFA-net: Object detection for complex X-ray cargo and baggage security imagery | PLOS ONE |
| 6 | 2022 |
Visual search behavior and performance in luggage screening: effects of time pressure, automation aid, and target expectancy | Cognitive Research: Principles and Implications |
| 6 | 2021 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 7
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled GDXray: The Database of X-ray Images for Nondestructive Testing and was published in 2015. The most recent citation comes from a 2022 study titled MFA-net: Object detection for complex X-ray cargo and baggage security imagery. This article reached its peak citation in 2022, with 4 citations. It has been cited in 15 different journals, 33% of which are open access. Among related journals, the Pattern Recognition cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.