Active X-ray testing of complex objects
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2012/01/01
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Indian UGC (journal)
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Citations13
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V Riffo
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D Mery
Cite
Riffo, V, and D Mery. “Active X-Ray Testing of Complex Objects”. Insight - Non-Destructive Testing and Condition Monitoring, vol. 54, no. 1, 2012, pp. 28-35, https://doi.org/10.1784/insi.2012.54.1.28.
Riffo, V., & Mery, D. (2012). Active X-ray testing of complex objects. Insight - Non-Destructive Testing and Condition Monitoring, 54(1), 28-35. https://doi.org/10.1784/insi.2012.54.1.28
Riffo V, Mery D. Active X-ray testing of complex objects. Insight - Non-Destructive Testing and Condition Monitoring. 2012;54(1):28-35.
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 |
|---|---|---|---|---|
Recent Advances in Baggage Threat Detection: A Comprehensive and Systematic Survey | ACM Computing Surveys |
| 6 | 2022 |
A Data Augmentation Method for Prohibited Item X-Ray Pseudocolor Images in X-Ray Security Inspection Based on Wasserstein Generative Adversarial Network and Spatial-and-Channel Attention Block | Computational Intelligence and Neuroscience |
| 4 | 2022 |
Lightweight prohibited item detection method based on YOLOV4 for x-ray security inspection | Applied Optics |
| 2022 | |
| Learning-Based Image Synthesis for Hazardous Object Detection in X-Ray Security Applications | IEEE Access |
| 2021 | |
| X-Ray Baggage Inspection With Computer Vision: A Survey | IEEE Access |
| 2 | 2020 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 5
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 Lightweight prohibited item detection method based on YOLOV4 for x-ray security inspection. This article reached its peak citation in 2022, with 3 citations. It has been cited in 8 different journals, 25% of which are open access. Among related journals, the Journal of Nondestructive Evaluation cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.