缩写名/全名 |
COGN TECHNOL WORK
Cognition Technology & Work |
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ISSN号 | 1435-5558 | ||||||||||||||||||||||||
研究方向 | ENGINEERING, INDUSTRIAL- | ||||||||||||||||||||||||
影响因子 | 2015:0.987, 2016:1.105, 2017:1.26, 2018:1.188, 2019:1.206, | ||||||||||||||||||||||||
出版国家 | ENGLAND | ||||||||||||||||||||||||
出版周期 | |||||||||||||||||||||||||
年文章数 | 48 | ||||||||||||||||||||||||
出版年份 | 0 | ||||||||||||||||||||||||
是否OA | No | ||||||||||||||||||||||||
审稿周期(仅供参考) | >12周,或约稿 |
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录用比例 | 容易 | ||||||||||||||||||||||||
投稿链接 | https://www.editorialmanager.com/ctwo/default.aspx | ||||||||||||||||||||||||
投稿官网 | http://www.springer.com/computer/hci/journal/10111 | ||||||||||||||||||||||||
h-index | 29 | ||||||||||||||||||||||||
CiteScore |
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PubMed Central (PMC)链接 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1435-5558%5BISSN%5D | ||||||||||||||||||||||||
中科院SCI期刊分区 ( 2018年新版本) |
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中科院SCI期刊分区 ( 2020年新版本) |
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中国学者近期发表的论文 | |
1. | Driver’s physiological responses to negotiating urbanization highways of varying complexity Author: Shiyun Li, Zhiqing Zhang, Lei Zhao, Guiyang Zhang, Xuefeng Jin, Shuying Xiao Journal: Cognition Technology & Work, 2019, Vol., , DOI:10.1007/s10111-019-00550-x DOI |
2. | The “PNE” driving simulator-based training model founded on the theory of planned behavior Author: Xiaohua Zhao, Wenxiang Xu, Jianming Ma, Yan Gao Journal: Cognition Technology & Work, 2018, Vol., , DOI:10.1007/s10111-018-0517-8 DOI |
3. | Influence of information overload on operator’s user experience of human–machine interface in LED manufacturing systems Author: Lei Wu, Zhijuan Zhu, Huai Cao, Bin Li Journal: Cognition Technology & Work, 2015, Vol.18, 161-173, DOI:10.1007/s10111-015-0352-0 DOI |
4. | Modeling human behavior in manual control Rendezvous and Docking task Author: Shiqi Li, Wei Chen, Yan Fu, Chunhui Wang, Yu Tian, Zhiqiang Tian Journal: Cognition Technology & Work, 2016, Vol.18, 745-760, DOI:10.1007/s10111-016-0388-9 DOI |
5. | Refining operation guidelines with model-checking-aided FRAM to improve manufacturing processes: a case study for aeroengine blade forging Author: Zixia Zheng, Jin Tian, Tingdi Zhao Journal: Cognition Technology & Work, 2016, Vol.18, 777-791, DOI:10.1007/s10111-016-0391-1 DOI |
6. | A deep learning scheme for mental workload classification based on restricted Boltzmann machines Author: Jianhua Zhang, Sunan Li Journal: Cognition Technology & Work, 2017, Vol.19, 607-631, DOI:10.1007/s10111-017-0430-6 DOI |
7. | Cross-subject mental workload classification using kernel spectral regression and transfer learning techniques Author: Jianhua Zhang, Yongcun Wang, Sunan Li Journal: Cognition Technology & Work, 2017, Vol.19, 587-605, DOI:10.1007/s10111-017-0425-3 DOI |
8. | Imbalanced classification of mental workload using a cost-sensitive majority weighted minority oversampling strategy Author: Jianhua Zhang, Xiqing Cui, Jianrong Li, Rubin Wang Journal: Cognition Technology & Work, 2017, Vol.19, 633-653, DOI:10.1007/s10111-017-0447-x DOI |
9. | Dynamical recursive feature elimination technique for neurophysiological signal-based emotion recognition Author: Zhong Yin, Lei Liu, Li Liu, Jianhua Zhang, Yagang Wang Journal: Cognition Technology & Work, 2017, Vol.19, 667-685, DOI:10.1007/s10111-017-0450-2 DOI |
10. | Guest editorial for special issue on modeling and analysis of human–machine systems in transportation Author: Jianhua Zhang, Tamsyn E. Edwards Journal: Cognition Technology & Work, 2017, Vol.19, 543-544, DOI:10.1007/s10111-017-0449-8 DOI |
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