影响因子(Impact Factor) 是衡量学术期刊影响力的一个重要指标,它是通过对某一年内期刊文章的引用次数进行统计,再除以该期刊在前两年发表的文章总数得出的。影响因子越高,说明该期刊在学术界的影响力越大。 Chinese Journal of Physics(中国物理学报) 是中国物理学会主办的一份学术期刊,创刊于 1933 年,是国内最早的...
根据近几年的数据,《Chinese Journal of Physics》的影响因子呈现稳步上升的趋势。这主要得益于以下几个方面: 1.期刊内容的优化:近年来,《Chinese Journal of Physics》注重提高稿件质量,加强对稿件的筛选和把关,使得发表在该期刊上的研究成果具有较高的学术价值。 2.稿件来源的多样化:为了提高国际影响力,期刊积极拓展...
Journal ISSN: 0577-9073Year Impact Factor (IF) Total Articles Total Cites 2023 (2024 update) 4.6 - - 2022 5.0 - 6772 2021 3.957 - 5297 2020 3.237 346 3873 2019 2.638 283 2258 2018 2.544 307 1622 2017 1.051 256 1033 2016 0.514 117 548 2015 0.464 117 503 2014 0.413 99 477 2013 0.431...
期刊简称 CHINESE J PHYS 期刊出版周期 Bimonthly 期刊出版社/管理机构 杂志由 Chinese Electronic Periodical 出版或管理。 ISSN号:0577-9073 期刊主页 chinese journal of physics主页 期刊评价 您选择的chinese journal of physics的指数解析如下: 简介:CHINESE J PHYS杂志属于物理行业,“物理:综合”子行业的偏低级...
5 Year impact factor: 3.5 Impact factor: 4.6 Read more Subscriptionoptions Subscription options Sorry, this title is not available for purchase in your country/region. Institutional subscription on ScienceDirect TheChinese Journal of Physicsis published by thePhysical Society of Taiwan (TPS)(since 196...
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Applied Optoelectronics: materials, fabrications, and devices. Optoelectronics represents a diverse field of study that has found widespread application worldwide. Recent advancements in semiconductor fabrication processes have significantly enhanced ou
Chinese Journal of Atmospheric Sciences (CJAS) publishes the latest achievements, developments, and reviews in the field of atmospheric sciences, including dynamic meteorology, synoptic meteorology, climatology, numerical weather prediction, atmospheric
JCR 影响因子(Impact factor), 5年期影响因子, 即年指数(Immediacy Index), 论文数量, 半衰期, 特征因子(Eigenfactor), 论文影响分值 [科研必备] 专业SCI论文修改服务: ★先修改后付款;☆语言问题免费重修;★24-72小时交稿; ☆正规财务发票;★一分钟下单;☆365日不间断服务 期刊全名 chinese journal of chemical...
In Proceedings of the Journal of Physics: Conference Series, Diwaniyah, Iraq, 21–22 April 2021; Volume 1820, p. 012162. [Google Scholar] Jaderberg, M.; Simonyan, K.; Zisserman, A. Spatial transformer networks. Adv. Neural Inf. Process. Syst. 2015, 28, 2017–2025. [Google Scholar] ...