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Earth Science Informatics

Springer 非OA 2026新锐 3区2025中科院 3区 已自动采集 最新完整样本 10 篇 平均 151.8 天

数据更新 2026-07-16 · 完整周期 10 篇 · 日期来源可逐条复核

Earth Science Informatics已收录10篇完整论文周期样本,平均审稿151.8 天,中位审稿147.5 天。2025中科院3区,非OA,2025发文量435。页面含论文收到日期、录用日期、PDF、DOI和出版社网页溯源入口。

151.8平均天数
147.5中位天数
38最短天数
272最长天数
10最新论文
4352025发文量

Latest Papers

最新发表论文审稿周期

审稿天数=录用日期-收到日期;保留 PDF/DOI/网页源链接

38

Interpretable and uncertainty-aware machine learning for shear-wave velocity estimation from conventional well logs

作者Akbar Ali; Rongyi Qian

作者单位1. Department of Geophysics and Information Technology, China University of Geosciences, Beijing, China; 2. Key Laboratory of Intraplate Volcanoes and Earthquakes (China University of Geosciences, Beijing), Ministry of Education, Beijing, China; 3. Qinghai University, Xining, China

PDF源文件 DOI 网页
96

Two-dimensional gravity inversion with adaptive moment estimation (ADAM): application for geothermal exploration

作者Wahyu Eko Junian

作者单位1. Department of Geophysical Engineering, Institut Teknologi Sumatera, Lampung Selatan, Indonesia

PDF源文件 DOI 网页
272

A fast high-precision geospatial grid interpolation algorithm

作者Hengjing Zhang; Sikai Hao; Chuyuan Liu

作者单位1. School of Geomatics, Liaoning Technical University, Fuxin, China; 2. Yanqianshan Branch, Ansteel Mining Co., Ltd., Anshan, China

PDF源文件 DOI 网页
63

Idealizing the role of soil particle size fractions in arsenic mobilization mechanisms and severity in groundwater using an explanatory framework of machine learning and SHAP analysis

作者Tuhin Subhra Konar; Rijurekha Dasgupta; Gourab Banerjee; Saroj Kumar; Subhasish Das; Asis Mazumdar; Arunabha Majumder

作者单位1. School of Water Resources Engineering, Jadavpur University, Kolkata, India

PDF源文件 DOI 网页
125

TectoView: an open-source web tool for real-time seismotectonic cross-section visualization

作者Can Eytemi̇z

作者单位1. Institute of Marine Sciences and Technology, Dokuz Eylül University, Izmir, Türkiye; 2. Earthquake Research and Application Center, Dokuz Eylül University, Izmir, Türkiye

PDF源文件 DOI 网页
230

Machine learning for lithology identification in electrical image logging: A case study of the Chang 7 3 Sub-Member, Yanchang Formation, East Gansu region, Ordos Basin

作者Jiaqi Li; Hongping Bao; Shilong Liu; Pingping Shi; Feiming Gao; Liubin Wei; Langlang Wang; Hongyan Yu

作者单位1. State Key Laboratory of Continental Evolution and Early Life, Department of Geology, Northwest University, Xi’an, China; 2. National Engineering Laboratory of Exploration and Development of Low Permeability Oil and Gas Fields, Xi’an, China; 3. Research Institute of Exploration and Development, Xi’an, China; 4. Geologic Research Institute, China National Logging Corporation, Xi’an, China; 5. School of Intelligent and Information Engineering, Tangshan University, Tangshan, China

PDF源文件 DOI 网页
204

Machine learning enhances research on the classification of oceanic basalt

作者Haobin Xu; Juanjuan Kong; Yao Ma

作者单位1. College of Ocean Science and Engineering, Shandong University of Science and Technology, Huangdao District, Qingdao, China; 2. Research Center for Marine Science, Hebei Normal University of Science and Technology, Qinhuangdao, China

PDF源文件 DOI 网页
170

Variational Autoencoders for P-wave detection on strong motion earthquake spectrograms

作者Turkan Simge Ispak; Salih Tileylioglu; Erdem Akagunduz

作者单位1. Department of Modelling and Simulation, Graduate School of Informatics, Middle East Technical University, Ankara, Türkiye; 2. Department of Civil Engineering, Kadir Has University, Istanbul, Türkiye

PDF源文件 DOI 网页
205

Digraph-based characterization of geological spatiotemporal relationships and its application in three-dimensional structural reconstruction using the DL + MPS framework

作者Shuwan Ye; Weisheng Hou; Yonghua Chen; Xin Li; Ying Huang

作者单位1. School of Earth Sciences and Engineering, Sun Yat-sen University, Zhuhai, China; 2. Guangdong Provincial Key Lab of Geological Processes and Mineral Resources, Zhuhai, China; 3. Guangzhou Metro Design & Research Institute Co. Ltd, Guangzhou, China

PDF源文件 DOI 网页
115

Automated geological modeling with ArcGIS Engine: a methodological framework for surface and subsurface data integration

作者Guoxu Chen; Suzanne Hurter; Li Cao; Muyuan Lu; Yongqi Fan; Kesheng Zuo

作者单位1. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei, China; 2. Gas & Energy Transition Research Centre, The University of Queensland, Brisbane, Australia; 3. The Netherlands Organisation for Applied Scientific Research TNO, Utrecht, the Netherlands; 4. School of Mathematics, Hefei University of Technology, Hefei, China

PDF源文件 DOI 网页