| 搜索结果: | 9409 条记录 |
9401 Nature Computational Science《自然-计算科学》(官网投稿)
SCIE外文期刊 中科分区:1区 期发文量:0 国人占比:- 影响因子:0.0000
Nature Computational Science《自然-计算科学》(月刊). Nature Computational Science is a new online-only journal that is interested in both fundamental and applied research in the growing area of computational science.
9402 Nature Reviews Methods Primers《自然综述-方法导论》(官网投稿)
SCIE外文期刊 中科分区:1区 期发文量:0 国人占比:- 影响因子:0.0000
Nature Reviews Methods Primers《自然综述-方法导论》(一年1卷). Nature Reviews Methods Primers covers analytical, applied, statistical, theoretical and computational methods used in the life and physical sciences. Nature Reviews Methods Primers is aimed at a broad, interdisciplinary audience of researchers at all career stages, providing them with the information to evaluate and apply methods to conduct their research, with a strong focus on enhancing interdisciplinary collaboration and providing guidance, from experts, on reproducibility and open science.
SCIE外文期刊 中科分区:3区 期发文量:0 国人占比:- 影响因子:0.0000
Journal of Energy Resources Technology Part B-Subsurface Energy and Carbon Capture《能源资源技术杂志B-地下能源与碳捕集》(双月刊). The Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture disseminates technical information – peer-reviewed scholarly work, research papers, technical briefs, feature articles and authoritative review articles – of permanent interest to the journal’s readership.
9404 Sensors and Actuators Reports《传感器与执行器报告》(官网投稿)
SCIE外文期刊 中科分区:2区 期发文量:0 国人占比:- 影响因子:0.0000
Sensors and Actuators Reports《传感器与执行器报告》(半年刊). Sensors and Actuators Reports is a peer-reviewed open access journal launched out from the Sensors and Actuators journal family. Sensors and Actuators Reports is dedicated to publishing new and original works in the field of all type of sensors and actuators, including bio-, chemical-, physical-, and nano- sensors and actuators, which demonstrates significant progress beyond the current state of the art.
9405 JMIR Medical Education《医学互联网研究杂志·医学教育》(官网投稿)
SCIE外文期刊 中科分区:区外 期发文量:0 国人占比:- 影响因子:0.0000
JMIR Medical Education《医学互联网研究杂志·医学教育》(一年1卷). JMIR Medical Education is an open access, peer-reviewed journal focusing on technology, innovation, and openness in medical education.This includes e-learning and virtual training, which has gained critical relevance in the (post-)COVID world. Another focus is on how to train health professionals to use digital tools. We publish original research, reviews, viewpoint, and policy papers on innovation and technology in medical education.
9406 Nature Reviews Bioengineering《自然综述:生物工程》(官网投稿)
SCIE外文期刊 中科分区:区外 期发文量:0 国人占比:- 影响因子:0.0000
Nature Reviews Bioengineering《自然综述:生物工程》(月刊). Nature Reviews Bioengineering is an online-only journal publishing authoritative, accessible and agenda-setting Reviews, Perspectives and Comments covering the full breadth of bioengineering, focusing on application, translation and technology, that is, leveraging biological knowledge to engineer solutions for real-world applications.
9407 Nature Water《自然-水》(官网投稿)
SCIE外文期刊 中科分区:区外 期发文量:0 国人占比:- 影响因子:0.0000
Nature Water《自然-水》(月刊). Nature Water is a monthly, online-only journal publishing the best research on the evolving relation between water and society, covering natural sciences, engineering and social sciences.
SCIESSCI外文期刊 中科分区:区外 期发文量:0 国人占比:- 影响因子:0.0000
Research Integrity and Peer Review《研究诚信和同行评议》(一年1卷). Research Integrity and Peer Review is an open access journal led by a renowned Editorial Board and occupying a unique niche in the field as the only journal covering all aspects of integrity in research publication, including peer review, study reporting, and research and publication ethics. We welcome submissions that report research in these fields or offer potential solutions to current controversies and limitations.
9409 Radiology-Artificial Intelligence《放射学-人工智能》(官网投稿)
SCIE外文期刊 中科分区:区外 期发文量:0 国人占比:- 影响因子:0.0000
Radiology-Artificial Intelligence《放射学-人工智能》(双月刊). Held to the same high editorial standards as Radiology, Radiology: Artificial Intelligence, a new RSNA journal to be launched in early 2019, will highlight the emerging applications of machine learning and artificial intelligence in the field of imaging across multiple disciplines. Radiology: Artificial Intelligence will be published bi-monthly and available exclusively online.
