Journal of Tropical Oceanography ›› 2021, Vol. 40 ›› Issue (3): 83-95.doi: 10.11978/YG2020004CSTR: 32234.14.YG2020004

• Marine Remote Sensing • Previous Articles     Next Articles

A bibliometric analysis of remote sensing research hotspots on the South China Sea and its U-boundary

TANG Danling1,2,5(), LIU Wang1,2,5, SUI Guangjun3, WANG Ying4, WANG Sufen1,2,5   

  1. 1. Guangdong Key Laboratory of Ocean Remote Sensing (LORS), State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 511458, China
    2. Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
    3. Guangdong Institute for International Strategies, Guangdong University of Foreign Studies, Guangzhou 510420, China
    4. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China
    5. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2020-08-24 Revised:2020-12-04 Online:2021-05-10 Published:2020-12-12
  • Contact: TANG Danling E-mail:lingzistdl@126.com
  • Supported by:
    National Natural Science Foundation of China(41876136);National Natural Science Key Project(41430968);Guangdong Key Program(2019BT02H594);Natural Science Foundation of Guangdong Province(2017B030301005);Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)(GML2019ZD0602);Knowledge Innovation Program of the Chinese Academy of Sciences(ISEE2019ZR02);National Science & Technology Fundamental Resources Investigation Program of China(2018FY100100)

Abstract:

We use bibliometrics to analyze journal articles with related themes published in and before 2019, to comprehensively evaluate ocean remote sensing applications in the South China Sea (SCS), especially in terms of its U-boundary. We employed CNKI (China National Knowledge Infrastructure) and WOSCC (Web of Science Core Collection) as the representatives of journal article databases in Chinese and in foreign languages, respectively. The classifying selection results are as follows: 10150 articles in Chinese and 10130 in foreign languages were published on natural sciences of SCS, 560 in Chinese and 1296 in foreign languages on remote sensing of SCS, and 303 in Chinese and 33 in foreign languages on the U-boundary of SCS. The bibliometric analysis shows that the country with the most articles in all kinds of languages was China (18253), where the top publishing institutions (such as No. 1 South China Sea Institute of Oceanology, Chinese Academy of Sciences) and the journals (such as No. 1 Journal of Tropical Oceanography) were primarily from. The annual article qualities on SCS natural sciences experienced four stages (slow start, slow growth, fast growth, and fallback), those on SCS remote sensing experienced two stages (slow start and fast growth), while those on the U-boundary experienced three stages (slow start, fast growth and fallback). The research hotspots of SCS natural sciences were monsoon, gas hydrate and typhoon, while the research hotspots of SCS remote sensing were sea surface temperature, chlorophyll and typhoon, and those of the U-boundary were SCS disputes and geologic features. Our study finds that it was in 1974 that remote sensing data were first applied to the research of SCS typhoons, and it was in 2019 that remote sensing data were first used on ecological environment research of the U-boundary. It is of great significance to develop comprehensive scientific research on the U-boundary corridor in SCS by developing remote sensing technology.

Key words: South China Sea (SCS), U-boundary of SCS, ocean remote sensing, bibliometrics, NoteExpress

CLC Number: 

  • G353.1