2024年6月最新影响因子数据已经更新，欢迎查询！ 如果您对期刊系统有任何需求或者问题，欢迎反馈给我们。
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期刊名字 | Journal of Cheminformatics J CHEMINFORMATICS （此期刊被最新的JCR期刊SCIE收录） LetPub评分 7.5
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声誉 8.3 影响力 6.4 速度 9.6 | |||||||||||||||||||||||||||||||||||||||||
| 期刊ISSN | 1758-2946 | 微信扫码收藏此期刊 | ||||||||||||||||||||||||||||||||||||||||
| 2023-2024最新影响因子 （数据来源于搜索引擎） | 7.1 点击查看影响因子趋势图 | |||||||||||||||||||||||||||||||||||||||||
| 实时影响因子 | 截止2024年10月29日：4.174 | |||||||||||||||||||||||||||||||||||||||||
| 2023-2024自引率 | 8.50%点击查看自引率趋势图 | |||||||||||||||||||||||||||||||||||||||||
| 五年影响因子 | 9.3 | |||||||||||||||||||||||||||||||||||||||||
| JCI期刊引文指标 | 1.54 | |||||||||||||||||||||||||||||||||||||||||
| h-index | 38 | |||||||||||||||||||||||||||||||||||||||||
| CiteScore （ 2024年最新版） |
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| 期刊简介 |
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| 期刊官方网站 | https://www.springer.com/journal/13321 | |||||||||||||||||||||||||||||||||||||||||
| 期刊投稿网址 | https://www.editorialmanager.com/CHIN | |||||||||||||||||||||||||||||||||||||||||
| 作者指南网址 | https://jcheminf.biomedcentral.com/submission-guidelines | |||||||||||||||||||||||||||||||||||||||||
| 期刊语言要求 | Language Presenting your work in a well-structured manuscript and in well-written English gives it its best chance for editors and reviewers to understand it and evaluate it fairly. Many researchers find that getting some independent support helps them present their results in the best possible light. 经LetPub语言功底雄厚的美籍native English speaker精心编辑的稿件，不仅能满足Journal of Cheminformatics的语言要求，还能让Journal of Cheminformatics编辑和审稿人得到更好的审稿体验，让稿件最大限度地被Journal of Cheminformatics编辑和审稿人充分理解和公正评估。LetPub的专业SCI论文编辑服务（包括SCI论文英语润色，同行资深专家修改润色，SCI论文专业翻译，SCI论文格式排版，专业学术制图等）帮助作者准备稿件，已助力全球15万+作者顺利发表论文。部分发表范例可查看：服务好评 论文致谢 。 提交文稿 | |||||||||||||||||||||||||||||||||||||||||
| 是否OA开放访问 | Yes | |||||||||||||||||||||||||||||||||||||||||
OA期刊相关信息 | 文章处理费：需要（ GBP1590; USD2290; EUR1890; ） 文章处理费豁免：查看说明 其他费用：没有 期刊主题关键词：chemical informatics、molecular modelling、data mining、chemical structure searching 相关链接：Aims & ScopeAuthor InstructionsEditorial BoardAnonymous peer review | |||||||||||||||||||||||||||||||||||||||||
| 通讯方式 | CAMPUS, 4 CRINAN ST, LONDON, ENGLAND, N1 9XW | |||||||||||||||||||||||||||||||||||||||||
| 出版商 | Springer International Publishing | |||||||||||||||||||||||||||||||||||||||||
| 涉及的研究方向 | CHEMISTRY, MULTIDISCIPLINARY-COMPUTER SCIENCE, INFORMATION SYSTEMS | |||||||||||||||||||||||||||||||||||||||||
| 出版国家或地区 | ENGLAND | |||||||||||||||||||||||||||||||||||||||||
| 出版语言 | English | |||||||||||||||||||||||||||||||||||||||||
| 出版周期 | ||||||||||||||||||||||||||||||||||||||||||
| 出版年份 | 2009 | |||||||||||||||||||||||||||||||||||||||||
| 年文章数 | 113点击查看年文章数趋势图 | |||||||||||||||||||||||||||||||||||||||||
| Gold OA文章占比 | 100.00% | |||||||||||||||||||||||||||||||||||||||||
| 研究类文章占比： 文章 ÷（文章 + 综述） | 99.12% | |||||||||||||||||||||||||||||||||||||||||
| WOS期刊SCI分区 （ 2023-2024年最新版） | WOS分区等级：1区
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| 中国科学院《国际期刊预警 名单（试行）》名单 | 2024年02月发布的2024版：不在预警名单中 2023年01月发布的2023版：不在预警名单中 2021年12月发布的2021版：不在预警名单中 2020年12月发布的2020版：不在预警名单中 | |||||||||||||||||||||||||||||||||||||||||
| 中国科学院SCI期刊分区 （ 2023年12月最新升级版） | 点击查看中国科学院SCI期刊分区趋势图
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| 中国科学院SCI期刊分区 （ 2022年12月升级版） |
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| 中国科学院SCI期刊分区 （ 2021年12月旧的升级版） |
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| SCI期刊收录coverage | Science Citation Index Expanded (SCIE) (2020年1月，原SCI撤销合并入SCIE，统称SCIE) Scopus (CiteScore) Directory of Open Access Journals (DOAJ) | |||||||||||||||||||||||||||||||||||||||||
| PubMed Central (PMC)链接 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1758-2946%5BISSN%5D | |||||||||||||||||||||||||||||||||||||||||
| 平均审稿速度 | 期刊官网数据： 平均68 days, to first decision for reviewed manuscripts only 41 days, to first decision for all manuscripts 147 days, from submission to acceptance 12 days, from acceptance to publication 网友分享经验： >12周，或约稿 | |||||||||||||||||||||||||||||||||||||||||
| 平均录用比例 | 网友分享经验： | |||||||||||||||||||||||||||||||||||||||||
| 版面费/APC文章处理费信息 | 文章处理费：需要（ GBP1590; USD2290; EUR1890; ） 文章处理费豁免：查看说明 其他费用：没有 LetPub提供文章处理费（APC）支持服务，可以用人民币支付版面费啦！ | |||||||||||||||||||||||||||||||||||||||||
| LetPub助力发表 | 经LetPub编辑的稿件平均录用比例是未经润色的稿件的1.5倍，平均审稿时间缩短40%。众多作者在使用LetPub的专业SCI论文编辑服务（包括SCI论文英语润色，同行资深专家修改润色，SCI论文专业翻译，SCI论文格式排版，专业学术制图等）后论文在Journal of Cheminformatics顺利发表。
快看看作者怎么说吧：服务好评 论文致谢 | |||||||||||||||||||||||||||||||||||||||||
| 收稿范围 | 期刊官网数据： All aspects of cheminformatics and molecular modelling chemical information systems, software and databases, and molecular modelling chemical structure representations and their use in structure, substructure, and similarity searching of chemical substance and chemical reaction databases computer and molecular graphics, computer-aided molecular design, expert systems, QSAR, and data mining techniques | |||||||||||||||||||||||||||||||||||||||||
| 收录体裁 | 期刊官网数据： peer-reviewed research | |||||||||||||||||||||||||||||||||||||||||
| 编辑信息 | Egon Willighagen is a researcher in the BiGCaT Department for Bioinformatics and teacher at Maastricht University in the Netherlands. His research projects focus on using and developing new cheminformatics and chemometrics approaches to explain biological phenomena in metabolic diseases, drug discovery, and toxicology. The research develops and contributes to open source and open data projects including BridgeDb, eNanoMapper, the Chemistry Development Kit (CDK), Bioclipse, and linked open data projects such as WikiPathways, the CHEMINF ontology, and Open PHACTS. Rajarshi Guha is the Associate Director of Informatics at Vertex Pharmaceuticals where he leads the cheminformatics group that is responsible for informatics needs in high throughput screening, library design & enhancement and in vitro toxicology. Prior to joining Vertex, he spent 9 years at as a research scientist in the Division of Pre-Clinical Innovation at NCATS. His work has ranged from small molecule development projects in a variety of therapeutic areas (including rare cancers and infectious diseases) to software and algorithm development in the areas of cheminformatics methods and large-scale infrastructure projects including Pharos, BARD and the Trans-NIH RNAi Screening Facility. His research interests focus on method & infrastructure development to analyze and visualize chemical biology datasets, with specific focus on techniques to link chemical structure information to molecular, bibliographic, genomic and clinical covariates to explain the effects of small molecules in the context of larger biological systems. | |||||||||||||||||||||||||||||||||||||||||
| 期刊常用信息链接 |
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| 中国学者近期发表的论文 | |
| 1. | Multimodal data fusion for supervised learning-based identification of USP7 inhibitors: a systematic comparison Author: Shen, Wen-feng; Tang, He-wei; Li, Jia-bo; Li, Xiang; Chen, Si Journal: JOURNAL OF CHEMINFORMATICS. 2023; Vol. 15, Issue 1, pp. -. DOI: 10.1186/s13321-022-00675-8 PubMed DOI |
| 2. | SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering Author: Li, Mingchen; Kang, Liqi; Xiong, Yi; Wang, Yu Guang; Fan, Guisheng; Tan, Pan; Hong, Liang Journal: JOURNAL OF CHEMINFORMATICS. 2023; Vol. 15, Issue 1, pp. -. DOI: 10.1186/s13321-023-00688-x PubMed DOI |
| 3. | Force field-inspired molecular representation learning for property prediction Author: Ren, Gao-Peng; Yin, Yi-Jian; Wu, Ke-Jun; He, Yuchen Journal: JOURNAL OF CHEMINFORMATICS. 2023; Vol. 15, Issue 1, pp. -. DOI: 10.1186/s13321-023-00691-2 PubMed DOI |
| 4. | DrugEx v3: scaffold-constrained drug design with graph transformer-based reinforcement learning Author: Liu, Xuhan; Ye, Kai; van Vlijmen, Herman W. T.; IJzerman, Adriaan P.; van Westen, Gerard J. P. Journal: JOURNAL OF CHEMINFORMATICS. 2023; Vol. 15, Issue 1, pp. -. DOI: 10.1186/s13321-023-00694-z PubMed DOI |
| 5. | Double-head transformer neural network for molecular property prediction Author: Song, Yuanbing; Chen, Jinghua; Wang, Wenju; Chen, Gang; Ma, Zhichong Journal: JOURNAL OF CHEMINFORMATICS. 2023; Vol. 15, Issue 1, pp. -. DOI: 10.1186/s13321-023-00700-4 PubMed DOI |
| 6. | DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks Author: Xu, Mengdie; Zhao, Xinwei; Wang, Jingyu; Feng, Wei; Wen, Naifeng; Wang, Chunyu; Wang, Junjie; Liu, Yun; Zhao, Lingling Journal: JOURNAL OF CHEMINFORMATICS. 2023; Vol. 15, Issue 1, pp. -. DOI: 10.1186/s13321-023-00690-3 PubMed DOI |
| 7. | Chemical rules for optimization of chemical mutagenicity via matched molecular pairs analysis and machine learning methods Author: Lou, Chaofeng; Yang, Hongbin; Deng, Hua; Huang, Mengting; Li, Weihua; Liu, Guixia; Lee, Philip W.; Tang, Yun Journal: JOURNAL OF CHEMINFORMATICS. 2023; Vol. 15, Issue 1, pp. -. DOI: 10.1186/s13321-023-00707-x PubMed DOI |
| 8. | Deep generative model for drug design from protein target sequence Author: Chen, Yangyang; Wang, Zixu; Wang, Lei; Wang, Jianmin; Li, Pengyong; Cao, Dongsheng; Zeng, Xiangxiang; Ye, Xiucai; Sakurai, Tetsuya Journal: JOURNAL OF CHEMINFORMATICS. 2023; Vol. 15, Issue 1, pp. -. DOI: 10.1186/s13321-023-00702-2 PubMed DOI |
| 9. | MolFilterGAN: a progressively augmented generative adversarial network for triaging AI-designed molecules Author: Liu, Xiaohong; Zhang, Wei; Tong, Xiaochu; Zhong, Feisheng; Li, Zhaojun; Xiong, Zhaoping; Xiong, Jiacheng; Wu, Xiaolong; Fu, Zunyun; Tan, Xiaoqin; Liu, Zhiguo; Zhang, Sulin; Jiang, Hualiang; Li, Xutong; Zheng, Mingyue Journal: JOURNAL OF CHEMINFORMATICS. 2023; Vol. 15, Issue 1, pp. -. DOI: 10.1186/s13321-023-00711-1 PubMed DOI |
| 10. | MetaRF: attention-based random forest for reaction yield prediction with a few trails Author: Chen, Kexin; Chen, Guangyong; Li, Junyou; Huang, Yuansheng; Wang, Ercheng; Hou, Tingjun; Heng, Pheng-Ann Journal: JOURNAL OF CHEMINFORMATICS. 2023; Vol. 15, Issue 1, pp. -. DOI: 10.1186/s13321-023-00715-x PubMed DOI |
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