机构

• 大连化学物理研究所 [11]
• 合肥物质科学研究院 [9]
• 近代物理研究所 [9]
• 国家天文台 [7]
• 地理科学与资源研究所 [6]
• 理论物理研究所 [4]
• 更多

采集方式

• OAI收割 [110]
• iSwitch采集 [3]

内容类型

• 期刊论文 [112]
• 预印本 [1]

发表日期

• 2025 [1]
• 2024 [3]
• 2023 [5]
• 2022 [9]
• 2021 [12]
• 2020 [10]
• 更多

学科主题

• Physics [3]
• Environmen... [2]
• 纳米科技与材料物理:... [2]
• Astronomy ... [1]
• Cell Biolo... [1]
• Geoscience... [1]
• 更多

筛选

浏览/检索结果: 共113条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Global ocean surface heat fluxes derived from the maximum entropy production framework accounting for ocean heat storage and Bowen ratio adjustments 期刊论文  OAI收割 EARTH SYSTEM SCIENCE DATA, 2025, 卷号: 17, 期号: 3, 页码: 1191-1216 作者:  Yang, Yong;  Sun, Huaiwei;  Wang, Jingfeng;  Zhang, Wenxin;  Zhao, Gang   |  收藏  |  浏览/下载：10/0  |  提交时间：2025/04/21 Real-world data on ALK rearrangement test in Chinese advanced non-small cell lung cancer (RATICAL): a nationwide multicenter retrospective study 期刊论文  OAI收割 CANCER COMMUNICATIONS, 2024 作者:  Li, Lin;  Li, Wencai;  Wu, Chunyan;  Xi, Yanfeng;  Guo, Lei   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/11/22 anaplastic lymphoma kinase  diagnosis  gene fusion  non-small cell lung cancer   Real-world data on ALK rearrangement test in Chinese advanced non-small cell lung cancer (RATICAL): a nationwide multicenter retrospective study 期刊论文  OAI收割 CANCER COMMUNICATIONS, 2024 作者:  Li, Lin;  Li, Wencai;  Wu, Chunyan;  Xi, Yanfeng;  Guo, Lei   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/11/22 anaplastic lymphoma kinase  diagnosis  gene fusion  non-small cell lung cancer   Cross-ancestry genome-wide association studies of brain imaging phenotypes 期刊论文  OAI收割 NATURE GENETICS, 2024, 页码: 31 作者:  Fu, Jilian;  Zhang, Quan;  Wang, Jianhua;  Wang, Meiyun;  Zhang, Bing   |  收藏  |  浏览/下载：29/0  |  提交时间：2024/06/29 Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343, 页码: 109758 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：32/0  |  提交时间：2023/12/04 Carbon cycles  Eddy covariance  Terrestrial ecosystems  Machine learning  Ecosystem responses   Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：130/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：52/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：33/0  |  提交时间：2023/12/01 Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：48/0  |  提交时间：2024/03/07 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding 期刊论文  OAI收割 GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11, 页码: 15 作者:  Han, Lang;  Yu, Gui-Rui;  Chen, Zhi;  Zhu, Xian-Jin;  Zhang, Wei-Kang   |  收藏  |  浏览/下载：69/0  |  提交时间：2022/12/23 ecosystem respiration  eddy covariance  terrestrial ecosystem  machine learning  substrate  scale extension