GEOSCIENCE

作品数:200被引量:241H指数:8
导出分析报告
相关领域:天文地球更多>>
相关作者:赵纪东刘文浩诸云强孙九林徐砚田更多>>
相关机构:中国科学院文献情报中心中国科学院中国地震局地球物理研究所南京师范大学更多>>
相关期刊:更多>>
相关基金:国家自然科学基金国家社会科学基金中国科学院西部之光基金教育部留学回国人员科研启动基金更多>>
-

检索结果分析

结果分析中...
条 记 录,以下是1-10
视图:
排序:
XIV International Symposium on Antarctic Earth Sciences:an opportunity to share and increase our knowledge of polar geoscience research
《Advances in Polar Science》2025年第1期84-86,共3页Jorge F.CARRASCO Gino CASASSA Isabel GIMENEZ 
The SCAR XIV International Symposium on Antarctic Earth Sciences(ISAES), which has been held every four years, will be held in Punta Arenas, Chile from 18 to 25 August 2025. ISAES aims to provide a comprehensive overv...
关键词:SCAR XIV ISAES Antarctic geoscience collaboration Punta Arenas Chile 
Future China-Africa research collaboration in geoscience:Challenges and opportunities
《地学前缘》2025年第1期459-465,共7页Michael H.STEPHENSON Hassina MOURI Gbenga OKUNLOLA CHENG Li WANG Meng ZHAO Yu GU Liping WANG Chengshan 
深时数字地球国际大科学计划DDE Scholar Report实施开发项目(HT202206LOz47)。
At the 19th G20 Summit in Brazil in November 2024,China promoted the development of sustainable solutions to climate change,biodiversity loss,and environmental pollution.This continued the theme of the 2016 G20 Hangzh...
关键词:open science sustainable development digital empowerment China-Africa geo-collaboration Deep-Time Digital Earth 
Fifteen years of Geoscience Frontiers and moving forward
《Geoscience Frontiers》2024年第6期1-1,共1页Xuanxue Mo 
Geoscience Frontiers(GSF)is completing fifteen years of publi-cation and we would like to thank all our Editors,Authors,Refer-ees,Patrons,and colleagues for the valuable support that you have all extended to the journ...
关键词:journal THANK field. 
Artificial intelligence for geoscience:Progress,challenges,and perspectives被引量:5
《The Innovation》2024年第5期136-160,135,共26页Tianjie Zhao Sheng Wang Chaojun Ouyang Min Chen Chenying Liu Jin Zhang Long Yu Fei Wang Yong Xie Jun Li Fang Wang Sabine Grunwald Bryan MWong Fan Zhang Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai Zhang Husi Letu Bing Zhang Li Wang Lei Luo Chong Shi Hongjun Su Hongsheng Zhang Shuai Yin Ni Huang Wei Zhao Nan Li Chaolei Zheng Yang Zhou Changping Huang Defeng Feng Qingsong Xu Yan Wu Danfeng Hong Zhenyu Wang Yinyi Lin Tangtang Zhang Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao Zhang Jiancheng Shi Lizhe Wang 
supported by National Natural Science Foundation of China(T2225019,41925007,62372470,U21A2013,42201415,42022054,42241109,42077156,52121006,42090014,and 42325107);the National Key R&D Programme of China(2022YFF0500);the Youth Innovation Promotion Association CAS(2023112);the Strategic Priority Research Program of CAS(XDA23090303);the RECLAIM Network Plus(EP/W034034/1).
This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intellige...
关键词:EARTH utilizing LANDSCAPE 
Data-enhanced revealing of trends in Geoscience被引量:1
《Journal of Data and Information Science》2024年第3期29-43,共15页Yu Zhao Meng Wang Jiaxin Ding Jiexing Qi Lyuwen Wu Sibo Zhang Luoyi Fu Xinbing Wang Li Cheng 
Purpose: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 Deep-time Digital Earth(DDE)initiative,t...
关键词:GEOSCIENCES Research trends BIBLIOMETRICS Expert knowledge Global voting 
Reducing carbon emissions with Geoscience solutions:A look at the contributions of nuclear energy,technology,and green finance被引量:1
《Geoscience Frontiers》2024年第4期411-426,共16页Aifeng Liu Muhammad Imran Abdelmohsen A.Nassani Rima H.Binsaeed Khalid Zaman 
Researchers Supporting Project number(RSP2024R87),King Saud University,Riyadh,Saudi Arabia.
Standards for Low-Carbon Energy Portfolios(LC-EPS)mandate that a certain percentage of a region's electricity generation originate from zero-or low-emissions sources.From 1995Q1 through 2020Q4,the study used the ARDL-...
关键词:Nuclear energy demand High technology exports Innovation Economic growth Green finance USA 
Geoscience Frontiers 2023 Annual Convention
《Geoscience Frontiers》2024年第3期484-487,共4页Fei Gao Lily Wang Yongqiang Yang 
The 2023 Geoscience Frontiers Annual Convention was held at Niigata,Japan during 7-12 October 2023,together with 2023 IAGR Annual Convention and 20th International Conference on Gondwana to Asia.This grand event assem...
关键词:CANADA CONVENTION VIETNAM 
Geoscience Frontiers Referees 2023
《Geoscience Frontiers》2024年第3期488-490,共3页
The contributions of referees continue to be essential to the maintenance of the quality of the papers published in Geoscience Frontiers.Their critiques and hard work in reviewing,and sometimes,re-reviewing manuscript...
关键词:JOURNAL submitted REVIEWING 
IUGS-60^(th)Women in the early years:Vera Lafferty and the beginnings of Episodes
《Episodes》2024年第1期187-195,共9页Susan Turner 
The International Union of Geological Sciences(IUGS)is celebrating women and girls in geoscience and in celebrating the 60^(th)anniversary of the IUGS,we must applaud those women who have pioneered the work of the Int...
关键词:international union geological sciences vera lafferty GEOSCIENCE 
An adaptive representation model for geoscience knowledge graphs considering complex spatiotemporal features and relationships
《Science China Earth Sciences》2023年第11期2563-2578,共16页Yunqiang ZHU Kai SUN Shu WANG Chenghu ZHOU Feng LU Hairong LV Qinjun QIU Xinbing WANG Yanmin QI 
supported by the National Natural Science Foundation of China(Grant No.42050101);the National Key Research and Development Program of China(Grant Nos.2022YFB3904200&2021YFB00903);supported by the International Big Science Program of Deeptime Digital Earth(DDE)。
Geoscience knowledge graph(GKG)can organize various geoscience knowledge into a machine understandable and computable semantic network and is an effective way to organize geoscience knowledge and provide knowledge-rel...
关键词:GEOSCIENCE Knowledge graph Representation model Spatiotemporal features Spatiotemporal relationships 
检索报告 对象比较 聚类工具 使用帮助 返回顶部