Data-enhanced revealing of trends in Geoscience

Zhao Yu; Wang Meng; Ding Jiaxin; Qi Jiexing; Wu Lyuwen; Zhang Sibo; Fu Luoyi; Wang Xinbing; Cheng Li

doi:10.2478/jdis-2024-0023

Journal of Data and Information Science (Aug 2024)

Data-enhanced revealing of trends in Geoscience

Zhao Yu,
Wang Meng,
Ding Jiaxin,
Qi Jiexing,
Wu Lyuwen,
Zhang Sibo,
Fu Luoyi,
Wang Xinbing,
Cheng Li

Affiliations

Zhao Yu: 1School of Earth Sciences and Resources, China University of Geosciences, Beijing, 100083, China
Wang Meng: 2Key Laboratory of Ecological Security and Sustainable Development of Arid Areas, State Key Laboratory of Desert and Oasis Ecology, Chinese Academy of Sciences, Urumqi, Xinjiang, 830011, China
Ding Jiaxin: 4Shanghai Jiao Tong University, Shanghai, 200240, China
Qi Jiexing: 4Shanghai Jiao Tong University, Shanghai, 200240, China
Wu Lyuwen: 4Shanghai Jiao Tong University, Shanghai, 200240, China
Zhang Sibo: 4Shanghai Jiao Tong University, Shanghai, 200240, China
Fu Luoyi: 4Shanghai Jiao Tong University, Shanghai, 200240, China
Wang Xinbing: 4Shanghai Jiao Tong University, Shanghai, 200240, China
Cheng Li: 5Journal Center, China University of Geosciences, Beijing, 100083, China

DOI: https://doi.org/10.2478/jdis-2024-0023
Journal volume & issue: Vol. 9, no. 3
pp. 29 – 43

Abstract

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This article presents an in-depth analysis of global research trends in Geosciences from 2014 to 2023. By integrating bibliometric analysis with expert insights from the Deeptime Digital Earth (DDE) initiative, this article identifies key emerging themes shaping the landscape of Earth Sciences①.

Published in Journal of Data and Information Science

ISSN: 2096-157X (Print); 2543-683X (Online)
Publisher: Sciendo
Country of publisher: Poland
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology; Science: Mathematics: Instruments and machines: Electronic computers. Computer science
Website: https://sciendo.com/journal/JDIS

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Abstract

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