Chemical Engineering And Processing-process Intensification

Chemical Engineering And Processing-process Intensification

化学工程与加工工艺强化

  • 3区 中科院分区
  • Q2 JCR分区

期刊简介

《Chemical Engineering And Processing-process Intensification》是由Elsevier出版社于1984年创办的英文国际期刊(ISSN: 0255-2701,E-ISSN: 1873-3204),该期刊长期致力于工程:化工领域的创新研究,主要研究方向为工程技术-工程:化工。作为SCIE收录期刊(JCR分区 Q2,中科院 3区),本刊采用OA未开放获取模式(OA占比0.0389...%),以发表工程:化工领域等方向的原创性研究为核心(研究类文章占比95.49%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在288篇,确保学术质量与前沿性。成果覆盖Web of Science、Scopus等国际权威数据库,为学者提供推动工程技术领域高水平交流平台。

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投稿提示

Chemical Engineering And Processing-process Intensification审稿周期约为 约4.0个月 约8.1周。该刊近年未被列入国际预警名单,年发文量约288篇,录用竞争适中,主题需确保紧密契合工程技术前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 工程技术 大类学科
  • Multi-Language 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 288 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
工程技术
3区
ENGINEERING, CHEMICAL 工程:化工 ENERGY & FUELS 能源与燃料
2区 3区

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
工程技术
3区
ENERGY & FUELS 能源与燃料 ENGINEERING, CHEMICAL 工程:化工
3区 3区

JCR分区

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:ENERGY & FUELS SCIE Q3 88 / 170

48.5%

学科:ENGINEERING, CHEMICAL SCIE Q2 55 / 170

67.9%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:ENERGY & FUELS SCIE Q3 87 / 173

50%

学科:ENGINEERING, CHEMICAL SCIE Q2 56 / 171

67.54%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:7.8 SJR:0.739 SNIP:1.066
学科类别 分区 排名 百分位
大类:Engineering 小类:Industrial and Manufacturing Engineering Q1 64 / 384

83%

大类:Engineering 小类:General Chemical Engineering Q1 52 / 273

81%

大类:Engineering 小类:General Chemistry Q1 81 / 408

80%

大类:Engineering 小类:Energy Engineering and Power Technology Q1 57 / 272

79%

期刊发文

  • Performance prediction of disc and doughnut extraction columns using bayes optimization algorithm-based machine learning models

    Author: Su, Zhenning; Wang, Yong; Tan, Boren; Cheng, Quanzhong; Duan, Xiaofei; Xu, Dongbing; Tian, Liangliang; Qi, Tao

    Journal: CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION. 2023; Vol. 183, Issue , pp. -. DOI: 10.1016/j.cep.2022.109248

  • Pilot-scale trail of a novel integrated process towards promoting polymer-flooding sewage treatment by reducing back-mixed feedstocks

    Author: Li, Yushan; Liu, Xu; Zhou, Hao; Zhao, Qidong; Xiao, Yonghou

    Journal: CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION. 2023; Vol. 183, Issue , pp. -. DOI: 10.1016/j.cep.2022.109255

  • Numerical modelling of effects of ultrasound-induced acoustic streaming on hydrodynamics in a confined impinging jet reactor using a non-linear model based on local velocity fluctuation

    Author: Chen, Luming; Du, Qiang; Guo, Yanqin; Yang, Xiaogang; Chen, Bingbing

    Journal: CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION. 2023; Vol. 183, Issue , pp. -. DOI: 10.1016/j.cep.2022.109253

  • Heat transfer enhancement in a regenerative cooling channel using porous media

    Author: Zhu, Xingzhen; Pan, Dandan; Gao, Yanyan; Guo, Ying; Guan, Yulei; Ma, Haixia

    Journal: CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION. 2023; Vol. 183, Issue , pp. -. DOI: 10.1016/j.cep.2022.109234

  • The removal of Cr3+using a vertical rotating micro-channel extractor with gas intensification and parallel model

    Author: Zhou, Yujie; Guo, Zini; Fan, Chunxin; Ma, Rui; Luo, Jianhong

    Journal: CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION. 2023; Vol. 183, Issue , pp. -. DOI: 10.1016/j.cep.2022.109208

  • Effect of swirler vane angle on the combustion characteristics of premixed lean hydrogen-air mixture in a swirl micro-combustor

    Author: Yang, Xiao; Li, Mohan; Yin, Ziyong; Song, Zhengchang

    Journal: CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION. 2023; Vol. 183, Issue , pp. -. DOI: 10.1016/j.cep.2022.109238

  • A novel vortex flocculation reactor for efficient water treatment: Kinetic modeling and experimental verification

    Author: Wang, Zhixin; Wu, Mian; Liang, Xing; Huang, Neng; Li, Xiaobing

    Journal: CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION. 2023; Vol. 183, Issue , pp. -. DOI: 10.1016/j.cep.2022.109245

  • Product composition control based on backpropagation neural network in pressure-swing distillation processes

    Author: Sun, Defeng; Xu, Qilei; Zhang, Fangkun; Zhu, Zhaoyou; Wang, Yinglong; Cui, Peizhe; Shan, Baoming

    Journal: CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION. 2023; Vol. 183, Issue , pp. -. DOI: 10.1016/j.cep.2022.109224