B12N12 Nano-cage as Potential Sensor for NO2 Detection

Article Properties
  • Language
    English
  • Publication Date
    2012/02/01
  • Indian UGC (Journal)
  • Refrences
    36
  • Citations
    125
  • Javad Beheshtian 1Department of Chemistry, Shahid Rajaee Teacher Training University, P.O. Box: 16875-163, Tehran Iran
  • Mohammad Kamfiroozi 2Department of Chemistry, Islamic Azad University, Shiraz Branch, Shiraz Iran
  • Zargham Bagheri 3Science Department, Islamic Azad University, Islamshahr Branch, P.O. Box: 33135-369, Islamshahr, Tehran Iran
  • Ali Ahmadi Peyghan 4Young Researchers Club, Islamic Azad University, Islamshahr Branch, Tehran Iran
Abstract
Cite
Beheshtian, Javad, et al. “B12N12 Nano-Cage As Potential Sensor for NO2 Detection”. Chinese Journal of Chemical Physics, vol. 25, no. 1, 2012, pp. 60-64, https://doi.org/10.1088/1674-0068/25/01/60-64.
Beheshtian, J., Kamfiroozi, M., Bagheri, Z., & Peyghan, A. A. (2012). B12N12 Nano-cage as Potential Sensor for NO2 Detection. Chinese Journal of Chemical Physics, 25(1), 60-64. https://doi.org/10.1088/1674-0068/25/01/60-64
Beheshtian J, Kamfiroozi M, Bagheri Z, Peyghan AA. B12N12 Nano-cage as Potential Sensor for NO2 Detection. Chinese Journal of Chemical Physics. 2012;25(1):60-4.
Refrences
Refrences Analysis
The category Science: Physics 13 is the most frequently represented among the references in this article. It primarily includes studies from Chinese Journal of Chemical Physics The chart below illustrates the number of referenced publications per year.
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Citations
Citations Analysis
The first research to cite this article was titled Exohedral and endohedral adsorption of alkaline earth cations in BN nanocluster and was published in 2012. The most recent citation comes from a 2024 study titled Exohedral and endohedral adsorption of alkaline earth cations in BN nanocluster . This article reached its peak citation in 2013 , with 16 citations.It has been cited in 59 different journals, 6% of which are open access. Among related journals, the Journal of Molecular Modeling cited this research the most, with 9 citations. The chart below illustrates the annual citation trends for this article.
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