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International Journal Of Digital EarthSCIE

國(guó)際簡(jiǎn)稱：INT J DIGIT EARTH 參考譯名：國(guó)際數(shù)字地球雜志

中科院分區(qū)
1區(qū)
CiteScore分區(qū)
Q1
JCR分區(qū)
Q1

基本信息：: ISSN：1753-8947; E-ISSN：1753-8955; 是否OA：未開(kāi)放; 是否預(yù)警：否; TOP期刊：是

出版信息：: 出版地區(qū)：ENGLAND; 出版商：Taylor and Francis Ltd.; 出版語(yǔ)言：English; 出版周期：Quarterly; 研究方向：地學(xué)-遙感

評(píng)價(jià)信息：: 影響因子：3.7; H-index：37; CiteScore指數(shù)：6.5; SJR指數(shù)：0.95; SNIP指數(shù)：1.235

發(fā)文數(shù)據(jù)：: Gold OA文章占比：86.35%; 研究類文章占比：95.07%; 年發(fā)文量：223; 自引率：0.0392...; 開(kāi)源占比：0.5116; 出版撤稿占比：0; 出版國(guó)人文章占比：0.28; OA被引用占比：0.1671...

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英文簡(jiǎn)介期刊介紹 CiteScore數(shù)據(jù) 中科院SCI分區(qū) JCR分區(qū) 發(fā)文數(shù)據(jù) 常見(jiàn)問(wèn)題

英文簡(jiǎn)介International Journal Of Digital Earth期刊介紹

The International Journal of Digital Earth is a response to this initiative. This peer-reviewed academic journal (SCI-E) focuses on the theories, technologies, applications, and societal implications of Digital Earth and those visionary concepts that will enable a modeled virtual world. The journal encourages papers that:

Progress visions for Digital Earth frameworks, policies, and standards;

Explore geographically referenced 3D, 4D, or 5D models to represent the real planet, and geo-data-intensive science and discovery;

Develop methods that turn all forms of geo-referenced data, from scientific to social, into useful information that can be analyzed, visualized, and shared;

Present innovative, operational applications and pilots of Digital Earth technologies at a local, national, regional, and global level;

Expand the role of Digital Earth in the fields of Earth science, including climate change, adaptation and health related issues,natural disasters, new energy sources, agricultural and food security, and urban planning;

Foster the use of web-based public-domain platforms, social networks, and location-based services for the sharing of digital data, models, and information about the virtual Earth; and

Explore the role of social media and citizen-provided data in generating geo-referenced information in the spatial sciences and technologies.

期刊簡(jiǎn)介International Journal Of Digital Earth期刊介紹

《International Journal Of Digital Earth》是一本地球科學(xué)優(yōu)秀雜志。致力于發(fā)表原創(chuàng)科學(xué)研究結(jié)果，并為地球科學(xué)各個(gè)領(lǐng)域的原創(chuàng)研究提供一個(gè)展示平臺(tái)，以促進(jìn)地球科學(xué)領(lǐng)域的的進(jìn)步。該刊鼓勵(lì)先進(jìn)的、清晰的闡述，從廣泛的視角提供當(dāng)前感興趣的研究主題的新見(jiàn)解，或?qū)彶槎嗄陙?lái)某個(gè)重要領(lǐng)域的所有重要發(fā)展。該期刊特色在于及時(shí)報(bào)道地球科學(xué)領(lǐng)域的最新進(jìn)展和新發(fā)現(xiàn)新突破等。該刊近一年未被列入預(yù)警期刊名單，目前已被權(quán)威數(shù)據(jù)庫(kù)SCIE收錄，得到了廣泛的認(rèn)可。

該期刊投稿重要關(guān)注點(diǎn)：

預(yù)計(jì)審稿時(shí)間：約3.0個(gè)月
國(guó)際TOP期刊
地球科學(xué)
GEOGRAPHY, PHYSICAL
SCIE
中科院1區(qū)
非預(yù)警

Cite Score數(shù)據(jù)（2024年最新版）International Journal Of Digital Earth Cite Score數(shù)據(jù)

CiteScore：6.5
SJR：0.95
SNIP：1.235

學(xué)科類別	分區(qū)	排名	百分位
大類：Earth and Planetary Sciences 小類：General Earth and Planetary Sciences	Q1	30 / 195	84%
大類：Earth and Planetary Sciences 小類：Computer Science Applications	Q2	219 / 817	73%
大類：Earth and Planetary Sciences 小類：Software	Q2	119 / 407	70%

CiteScore 是由Elsevier(愛(ài)思唯爾)推出的另一種評(píng)價(jià)期刊影響力的文獻(xiàn)計(jì)量指標(biāo)。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫(kù)中收集的引文為基礎(chǔ)，針對(duì)的是前四年發(fā)表的論文的引文。CiteScore的意義在于，它可以為學(xué)術(shù)界提供一種新的、更全面、更客觀地評(píng)價(jià)期刊影響力的方法，而不僅僅是通過(guò)影響因子(IF)這一單一指標(biāo)來(lái)評(píng)價(jià)。

歷年Cite Score趨勢(shì)圖

中科院SCI分區(qū)International Journal Of Digital Earth 中科院分區(qū)

中科院 2023年12月升級(jí)版 綜述期刊：否 Top期刊：否

大類學(xué)科	分區(qū)	小類學(xué)科	分區(qū)
地球科學(xué)	1區(qū)	GEOGRAPHY, PHYSICAL 自然地理 REMOTE SENSING 遙感	2區(qū) 3區(qū)

中科院分區(qū)表 是以客觀數(shù)據(jù)為基礎(chǔ)，運(yùn)用科學(xué)計(jì)量學(xué)方法對(duì)國(guó)際、國(guó)內(nèi)學(xué)術(shù)期刊依據(jù)影響力進(jìn)行等級(jí)劃分的期刊評(píng)價(jià)標(biāo)準(zhǔn)。它為我國(guó)科研、教育機(jī)構(gòu)的管理人員、科研工作者提供了一份評(píng)價(jià)國(guó)際學(xué)術(shù)期刊影響力的參考數(shù)據(jù)，得到了全國(guó)各地高校、科研機(jī)構(gòu)的廣泛認(rèn)可。

中科院分區(qū)表 將所有期刊按照一定指標(biāo)劃分為1區(qū)、2區(qū)、3區(qū)、4區(qū)四個(gè)層次，類似于“優(yōu)、良、及格”等。最開(kāi)始，這個(gè)分區(qū)只是為了方便圖書(shū)管理及圖書(shū)情報(bào)領(lǐng)域的研究和期刊評(píng)估。之后中科院分區(qū)逐步發(fā)展成為了一種評(píng)價(jià)學(xué)術(shù)期刊質(zhì)量的重要工具。

歷年中科院分區(qū)趨勢(shì)圖

JCR分區(qū)International Journal Of Digital Earth JCR分區(qū)

2023-2024 年最新版

按JIF指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：GEOGRAPHY, PHYSICAL	SCIE	Q1	13 / 65	80.8%
學(xué)科：REMOTE SENSING	SCIE	Q2	22 / 62	65.3%

按JCI指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：GEOGRAPHY, PHYSICAL	SCIE	Q1	14 / 65	79.23%
學(xué)科：REMOTE SENSING	SCIE	Q1	14 / 62	78.23%

JCR分區(qū)的優(yōu)勢(shì)在于它可以幫助讀者對(duì)學(xué)術(shù)文獻(xiàn)質(zhì)量進(jìn)行評(píng)估。不同學(xué)科的文章引用量可能存在較大的差異，此時(shí)單獨(dú)依靠影響因子(IF)評(píng)價(jià)期刊的質(zhì)量可能是存在一定問(wèn)題的。因此，JCR將期刊按照學(xué)科門類和影響因子分為不同的分區(qū)，這樣讀者可以根據(jù)自己的研究領(lǐng)域和需求選擇合適的期刊。

歷年影響因子趨勢(shì)圖

發(fā)文數(shù)據(jù)

2023-2024 年國(guó)家/地區(qū)發(fā)文量統(tǒng)計(jì)

國(guó)家/地區(qū)數(shù)量
CHINA MAINLAND122
USA86
GERMANY (FED REP GER)23
Italy17
Netherlands16
Canada15
Spain14
Australia13
Switzerland13
England10

本刊中國(guó)學(xué)者近年發(fā)表論文

1、High-resolution spatio-temporal analysis of snowmelt over Antarctic Peninsula ice shelves from 2015 to 2021 using SAR images
Author: Zhu, Qi; Guo, Huadong; Zhang, Lu; Liang, Dong; Liu, Xuting; Zhou, Heng; Gou, Yiting

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 826-847. DOI: 10.1080/17538947.2023.2181991
2、MDvT: introducing mobile three-dimensional convolution to a vision transformer for hyperspectral image classification
Author: Zhou, Xinyao; Zhou, Wenzuo; Fu, Xiaoli; Hu, Yichen; Liu, Jinlian

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 1469-1490. DOI: 10.1080/17538947.2023.2202423
3、A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform
Author: Zhou, Jie; Menenti, Massimo; Jia, Li; Gao, Bo; Zhao, Feng; Cui, Yilin; Xiong, Xuqian; Liu, Xuan; Li, Dengchao

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 988-1007. DOI: 10.1080/17538947.2023.2192004
4、A robust discretization method of factor screening for landslide susceptibility mapping using convolution neural network, random forest, and logistic regression models
Author: Zhao, Zheng; Chen, Jianhua

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 408-429. DOI: 10.1080/17538947.2023.2174192
5、A comprehensive method for refining essential SDGs variables for land degradation monitoring based on the DPSIR framework
Author: Zhao, Yijing; Zhao, Xuesheng; Fan, Deqin; Qiu, Yue

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 741-761. DOI: 10.1080/17538947.2023.2182375
6、A point cloud segmentation method for power lines and towers based on a combination of multiscale density features and point-based deep learning
Author: Zhao, Wenbo; Dong, Qing; Zuo, Zhengli

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 620-644. DOI: 10.1080/17538947.2023.2168770
7、Vegetation ecological benefits index (VEBI): a 3D spatial model for evaluating the ecological benefits of vegetation
Author: Zhang, Zhimei; Fan, Yanguo; Jiao, Zhijun; Fan, Bowen; Zhou, Junwei; Li, Zhanhao

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 1108-1123. DOI: 10.1080/17538947.2023.2192527
8、Analysis of the future trends of typical mountain glacier movements along the Sichuan-Tibet Railway based on ConvGRU network
Author: Zhang, Yali; Zhang, Lifeng; He, Yi; Yao, Sheng; Yang, Wang; Cao, Shengpeng; Sun, Qiang

Journal: INTERNATIONAL JOURNAL OF DIGITAL EARTH. 2023; Vol. 16, Issue 1, pp. 762-780. DOI: 10.1080/17538947.2022.2152884