Quantitative Resonance Theory Based on the Clar Sextet Model

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Cite
Wang, Yang. “Quantitative Resonance Theory Based on the Clar Sextet Model”. The Journal of Physical Chemistry A, vol. 126, no. 1, 2022, pp. 164-76, https://doi.org/10.1021/acs.jpca.1c08661.
Wang, Y. (2022). Quantitative Resonance Theory Based on the Clar Sextet Model. The Journal of Physical Chemistry A, 126(1), 164-176. https://doi.org/10.1021/acs.jpca.1c08661
Wang, Yang. “Quantitative Resonance Theory Based on the Clar Sextet Model”. The Journal of Physical Chemistry A 126, no. 1 (2022): 164-76. https://doi.org/10.1021/acs.jpca.1c08661.
Wang Y. Quantitative Resonance Theory Based on the Clar Sextet Model. The Journal of Physical Chemistry A. 2022;126(1):164-76.
Refrences
Title Journal Journal Categories Citations Publication Date
10.1002/9780470192597 2007
10.1017/CBO9780511535383 2002
Polycyclic Aromatic Hydrocarbons 1997
The Aromatic Sextet 1972
10.1016/S0301-0104(03)00028-4
Citations
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Size Isn’t Everything: Geometric Tuning in Polycyclic Aromatic Hydrocarbons and Its Implications for Carbon Nanodots The Journal of Physical Chemistry A
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Citations Analysis
The category Science: Chemistry 6 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled BenzAI: A Program to Design Benzenoids with Defined Properties Using Constraint Programming and was published in 2022. The most recent citation comes from a 2024 study titled Size Isn’t Everything: Geometric Tuning in Polycyclic Aromatic Hydrocarbons and Its Implications for Carbon Nanodots. This article reached its peak citation in 2024, with 3 citations. It has been cited in 5 different journals. Among related journals, the Journal of Chemical Information and Modeling cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year