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Detecting the Knowledge Domains of Compound Semiconductors
The development of compound semiconductors (CS) has received extensive attention worldwide. This study aimed to detect and visualize CS knowledge domains for quantifying CS research patterns and emerging trends through a scientometric review based on the literature between 2011 and 2020 by using Cit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954707/ https://www.ncbi.nlm.nih.gov/pubmed/35334767 http://dx.doi.org/10.3390/mi13030476 |
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author | Lee, Qian-Yo Chou, Chiyang James Lee, Ming-Xuan Lee, Yen-Chun |
author_facet | Lee, Qian-Yo Chou, Chiyang James Lee, Ming-Xuan Lee, Yen-Chun |
author_sort | Lee, Qian-Yo |
collection | PubMed |
description | The development of compound semiconductors (CS) has received extensive attention worldwide. This study aimed to detect and visualize CS knowledge domains for quantifying CS research patterns and emerging trends through a scientometric review based on the literature between 2011 and 2020 by using CiteSpace. The combined dataset of 24,622 bibliographic records were collected through topic searches and citation expansion to ensure adequate coverage of the field. While research in “solar cell” and “perovskite tandem” appears to be the two most distinctive knowledge domains in the CS field, research related to thermoelectric materials has grown at a respectable pace. Most notably, the deep connections between “thermoelectric material” and “III-Sb nanowire (NW)” research have been demonstrated. A rapid adaptation of black phosphorus (BP) field-effect transistors (FETs) and gallium nitride (GaN) transistors in the CS field is also apparent. Innovative strategies have focused on the opto-electronics with engineered functionalities, the design, synthesis and fabrication of perovskite tandem solar cells, the growing techniques of Sb-based III–V NWs, and the thermal conductivity of boron arsenide (BAs). This study revealed how the development trends and research areas in the CS field advance over time, which greatly help us to realize its knowledge domains. |
format | Online Article Text |
id | pubmed-8954707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89547072022-03-26 Detecting the Knowledge Domains of Compound Semiconductors Lee, Qian-Yo Chou, Chiyang James Lee, Ming-Xuan Lee, Yen-Chun Micromachines (Basel) Article The development of compound semiconductors (CS) has received extensive attention worldwide. This study aimed to detect and visualize CS knowledge domains for quantifying CS research patterns and emerging trends through a scientometric review based on the literature between 2011 and 2020 by using CiteSpace. The combined dataset of 24,622 bibliographic records were collected through topic searches and citation expansion to ensure adequate coverage of the field. While research in “solar cell” and “perovskite tandem” appears to be the two most distinctive knowledge domains in the CS field, research related to thermoelectric materials has grown at a respectable pace. Most notably, the deep connections between “thermoelectric material” and “III-Sb nanowire (NW)” research have been demonstrated. A rapid adaptation of black phosphorus (BP) field-effect transistors (FETs) and gallium nitride (GaN) transistors in the CS field is also apparent. Innovative strategies have focused on the opto-electronics with engineered functionalities, the design, synthesis and fabrication of perovskite tandem solar cells, the growing techniques of Sb-based III–V NWs, and the thermal conductivity of boron arsenide (BAs). This study revealed how the development trends and research areas in the CS field advance over time, which greatly help us to realize its knowledge domains. MDPI 2022-03-20 /pmc/articles/PMC8954707/ /pubmed/35334767 http://dx.doi.org/10.3390/mi13030476 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lee, Qian-Yo Chou, Chiyang James Lee, Ming-Xuan Lee, Yen-Chun Detecting the Knowledge Domains of Compound Semiconductors |
title | Detecting the Knowledge Domains of Compound Semiconductors |
title_full | Detecting the Knowledge Domains of Compound Semiconductors |
title_fullStr | Detecting the Knowledge Domains of Compound Semiconductors |
title_full_unstemmed | Detecting the Knowledge Domains of Compound Semiconductors |
title_short | Detecting the Knowledge Domains of Compound Semiconductors |
title_sort | detecting the knowledge domains of compound semiconductors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954707/ https://www.ncbi.nlm.nih.gov/pubmed/35334767 http://dx.doi.org/10.3390/mi13030476 |
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