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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Li, J., Qu, H., & Wang, J. (2020). Photonic Bragg waveguide platform for multichannel resonant sensing applications in the THz range. Biomedical Optics Express, 11(5), 2476-2489. External link
Li, J. (2020). A review: Development of novel fiber-optic platforms for bulk and surface refractive index sensing applications. Sensors and Actuators Reports, 2(1), 14 pages. External link
Li, H., Li, J., Bodycomb, J., & Patience, G. S. (2019). Experimental methods in chemical engineering: Particle size distribution by laser diffraction-PSD. Canadian Journal of Chemical Engineering, 97(7), 1974-1981. External link
Li, J. (2019). On the sensitivity of liquid-core photonic Bragg fibers. Optical Engineering, 58(5), 4 pages. External link
Li, J., & Nallappan, K. (2019). Optimization of hollow-core photonic Bragg fibers towards practical sensing implementations. Optical Materials Express, 9(4), 1640-1653. External link
Li, J., Nallappan, K., Guerboukha, H., & Skorobogatiy, M. A. (2017). 3D printed hollow core terahertz Bragg waveguides with defect layers for surface sensing applications. Optics Express, 25(4), 4126-4144. External link
Li, J., Qu, H., & Skorobogatiy, M. A. (2016). Squeezed hollow-core photonic Bragg fiber for surface sensing applications. Optics Express, 24(14), 15687-15701. External link
Li, J., Qu, H., & Skorobogatiy, M. A. (2015). Simultaneous monitoring the real and imaginary parts of the analyte refractive index using liquid-core photonic bandgap Bragg fibers. Optics Express, 23(18), 22963-22976. External link
Li, J., Nallapan, K., Guerboukha, H., & Skorobogatiy, M. A. (2017, May). 3D printed hollow core terahertz Bragg waveguide for surface sensing applications [Paper]. CLEO: Applications and Technology (CLEO_AT 2017), San Jose, CA, United states. External link
Li, J., Ma, T., Nallapan, K., Guerboukha, H., & Skorobogatiy, M. A. (2017, August). 3D printed hollow core terahertz Bragg waveguides with defect layers for surface sensing applications [Paper]. 42nd International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz 2017), Cancun, Mexico (1 page). External link
Li, J., Qu, H., & Skorobogatiy, M. A. (2017, May). Squeezed hollow core photonic Bragg fiber for surface sensing applications [Paper]. CLEO: Applications and Technology (CLEO_AT 2017), San Jose, CA, United states. External link
Gannot, I., Li, J., Qu, H., & Skorobogatiy, M. A. (2016, February). Detection of analyte refractive index and concentration using liquid-core photonic Bragg fibers [Paper]. Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XVI, San Francisco, California. External link
Li, J. (2017). Hollow Core Photonic Bragg Fibers for Industrial Sensing Applications [Ph.D. thesis, École Polytechnique de Montréal]. Available
