Computers Environment And Urban Systems

Computers Environment And Urban Systems

计算机环境与城市系统

  • 1区 中科院分区
  • Q1 JCR分区

期刊简介

《Computers Environment And Urban Systems》是由Elsevier出版社于1975年创办的英文国际期刊(ISSN: 0198-9715,E-ISSN: 1873-7587),该期刊长期致力于地理学领域的创新研究,主要研究方向为Multiple。作为SCIE、SSCI收录期刊(JCR分区 Q1,中科院 1区),本刊采用OA未开放获取模式(OA占比0.1404...%),以发表地理学领域等方向的原创性研究为核心(研究类文章占比95.89%%)。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73篇,确保学术质量与前沿性。成果覆盖Web of ScienceWeb of Science、Scopus等国际权威数据库,为学者提供推动地球科学领域高水平交流平台。

投稿咨询

投稿提示

Computers Environment And Urban Systems审稿周期约为 。该刊近年未被列入国际预警名单,年发文量约73篇,录用竞争适中,主题需确保紧密契合地球科学前沿。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。

  • 地球科学 大类学科
  • Multi-Language 出版语言
  • 是否预警
  • SCIE、SSCI 期刊收录
  • 73 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
地球科学
1区
GEOGRAPHY 地理学 ENVIRONMENTAL STUDIES 环境研究 REGIONAL & URBAN PLANNING 区域与城市规划
1区 2区 2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
地球科学
1区
ENVIRONMENTAL STUDIES 环境研究 GEOGRAPHY 地理学 REGIONAL & URBAN PLANNING 区域与城市规划
1区 1区 1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:ENVIRONMENTAL STUDIES SSCI Q1 18 / 182

90.4%

学科:GEOGRAPHY SSCI Q1 5 / 171

97.4%

学科:REGIONAL & URBAN PLANNING SSCI Q1 4 / 54

93.5%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:ENVIRONMENTAL STUDIES SSCI Q1 33 / 184

82.34%

学科:GEOGRAPHY SSCI Q1 14 / 172

92.15%

学科:REGIONAL & URBAN PLANNING SSCI Q1 6 / 54

89.81%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:13.3 SJR:1.861 SNIP:2.2
学科类别 分区 排名 百分位
大类:Social Sciences 小类:Urban Studies Q1 3 / 279

99%

大类:Social Sciences 小类:Geography, Planning and Development Q1 19 / 821

97%

大类:Social Sciences 小类:Ecological Modeling Q1 2 / 41

96%

大类:Social Sciences 小类:General Environmental Science Q1 13 / 233

94%

期刊发文

  • Flow colocation quotient: Measuring bivariate spatial association for flow data

    Author: Zhou, Mengjie; Yang, Mengjie; Chen, Zhe

    Journal: COMPUTERS ENVIRONMENT AND URBAN SYSTEMS. 2023; Vol. 99, Issue , pp. -. DOI: 10.1016/j.compenvurbsys.2022.101916

  • Sensing urban soundscapes from street view imagery

    Author: Zhao, Tianhong; Liang, Xiucheng; Tu, Wei; Huang, Zhengdong; Biljecki, Filip

    Journal: COMPUTERS ENVIRONMENT AND URBAN SYSTEMS. 2023; Vol. 99, Issue , pp. -. DOI: 10.1016/j.compenvurbsys.2022.101915

  • A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity

    Author: Wu, Bin; Yang, Chengshu; Wu, Qiusheng; Wang, Congxiao; Wu, Jianping; Yu, Bailang

    Journal: COMPUTERS ENVIRONMENT AND URBAN SYSTEMS. 2023; Vol. 99, Issue , pp. -. DOI: 10.1016/j.compenvurbsys.2022.101911

  • Perceptions of space and time of public transport travel associated with human brain activities: A case study of bus travel in Beijing

    Author: Qin, Tong; Dong, Weihua; Huang, Haosheng

    Journal: COMPUTERS ENVIRONMENT AND URBAN SYSTEMS. 2023; Vol. 99, Issue , pp. -. DOI: 10.1016/j.compenvurbsys.2022.101919

  • HGAT-VCA: Integrating high-order graph attention network with vector cellular automata for urban growth simulation

    Author: Guan, Xuefeng; Xing, Weiran; Li, Jingbo; Wu, Huayi

    Journal: COMPUTERS ENVIRONMENT AND URBAN SYSTEMS. 2023; Vol. 99, Issue , pp. -. DOI: 10.1016/j.compenvurbsys.2022.101900

  • Constructing multi-level urban clusters based on population distributions and interactions

    Author: Cao, Wenpu; Dong, Lei; Cheng, Ying; Wu, Lun; Guo, Qinghua; Liu, Yu

    Journal: COMPUTERS ENVIRONMENT AND URBAN SYSTEMS. 2023; Vol. 99, Issue , pp. -. DOI: 10.1016/j.compenvurbsys.2022.101897

  • SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images

    Author: Wu, Hao; Luo, Wenting; Lin, Anqi; Hao, Fanghua; Olteanu-Raimond, Ana-Maria; Liu, Lanfa; Li, Yan

    Journal: COMPUTERS ENVIRONMENT AND URBAN SYSTEMS. 2023; Vol. 100, Issue , pp. -. DOI: 10.1016/j.compenvurbsys.2022.101921

  • Establishing a citywide street tree inventory with street view images and computer vision techniques

    Author: Liu, Dongwei; Jiang, Yuxiao; Wang, Ruoyu; Lu, Yi

    Journal: COMPUTERS ENVIRONMENT AND URBAN SYSTEMS. 2023; Vol. 100, Issue , pp. -. DOI: 10.1016/j.compenvurbsys.2022.101924