数据科学与大数据统计

李俊明

日期:2019年05月05日    点击数:

 

李俊明|Junming Li

男,汉族,党员,同济大学工学学士、管理学硕士,中国科学院大学工学博士,副教授,硕士生导师; 山西省高等学校优秀青年学术带头人;中国地理学会地理模型与地理信息分析专业委员会委员,国家注册城市规划师,清华同衡规划研究院专家库成员。以第一或通讯作者在国际顶级SCI期刊(一区Top) PLoS Medicine(IF:11.069)Environment International (IF:9.621)Environmental Pollution(IF:8.071)Journal of Environmental Management(IF:6.789)Social Science & Medicine (IF4.634)等发表论文5篇,在其他主流高质量SCI/SSCI期刊发表10余篇,在CSSCI中文期刊发表论文6篇。现主持教育部项目1项,参与科技部重点研发计划项目等若干项,出版专著1部,获得国家发明专利1项。主要研究兴趣:时空统计方法及应用、环境健康统计、时空流行病学统计。

※ 科研论文(第一作、通讯)

1.Junming Li, JuanLiang, Jinfeng Wang, Zhoupeng Ren, Dian Yang, et al. (2020) Spatiotemporal trends andecological determinants in maternal mortality ratiosin 2,205 Chinese counties, 2010–2013: A Bayesianmodelling analysis. PLoS Med 17(5): e1003114.https://doi.org/10.1371/journal.pmed.1003114. (IF:11.069,SCI一区Top,第一作者).

2.Junming Li*, Xiulan Han*, Meijun Jin, Xiangxue Zhang, Sixian Wang,Globally analysing spatiotemporal trends of anthropogenic PM2.5 concentration and population's PM2.5 exposure from 1998 to 2016,Environment International, 2019,128. (IF: 9.621, SCI一区Top,第一作者、通讯作者).

3.Junming Li, Nannan Wang, Jinfeng Wang*, Honglin Li. Spatiotemporal evolution of the remotely sensed global continental PM2.5 concentration from 2000-2014 based on Bayesian statistics. Environmental Pollution. 2018,4. (IF: 8.071, SCI一区Top,第一作者)

4. Fei Han#, Junming Li*#. Assessing impacts and determinants of China’s environmental protection tax on improving air quality at provincial level based on Bayesian statistics [J] Journal of Environmental Management, 2020, 217(2020)111017.(IF: 6.789, SCI/SSCI一区Top,通讯作者、共同一作)

5. Meijun Jin; Junming Li* et al. A Practical Split-Window Algorithm for Retrieving Land Surface Temperature from Landsat-8 Data. Remote Sensing. 2015,7. (IF: 4.848SCI一区,通讯作者).

6.Junming Li*#, Sixian Wang#, Xiulan Han*, Gehong Zhang*, Min Zhao, Lin Ma. Spatiotemporal trends and influence factors of global diabetes prevalence in recent years. Social Science & Medicine. 2020;256:113062. doi:10.1016/j.socscimed.2020.113062. (IF: 4.634, SCI/SSCI一区Top,第一作者、通讯作者).

7.Junming Li; Jinfeng Wang*; Nannan Wang. A Bayesian Space-Time Hierarchical Model for Remotely Sensed Lattice DataBased on Multiscale Homogeneous Statistical Units. IEEE JSTARS. 2018,2. (IF: 3.784SCI二区,第一作者)

8.Junming Li*, Xiulan Han*, Xiangxue Zhang, Sixian Wang. Spatiotemporal evolution of global population ageing from 1960 to 2017. BMC Public Health. 2018,4.(IF: 3.295, SCI\SSCI二区,第一作者,通讯作者).

9.Junming Li, Xinlin Chen., Xiulan Han*. et al. Spatiotemporal matching between medical resources and population ageing in China from 2008 to 2017. BMC Public Health 20, 845 (2020). https://doi.org/10.1186/s12889-020-08976-z. (IF: 3.295, SCI\SSCI二区,第一作者)

10. Junming Li, Xiulan Han*, Xiao Li, Jianping Yang, Xuejiao Li. Spatiotemporal Patterns of Ground Monitored PM2.5 Concentrations in China in Recent Years.Int. J. Environ. Res. Public Health 2018,1. (IF: 3.390 SCI\SSCI二区,第一作者)

11. Junming Li, Meijun Jin*, Honglin Li. Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model. Int. J. Environ. Res. Public Health 2019, 16, 454.(IF: 3.390, SCI\SSCI二区,第一作者)

12.Junming Li; Meijun Jin*; et al. Spatiotemporal Variability of Remotely Sensed PM2.5 Concentrations in China from 1998 to 2014 Based on a Bayesian Hierarchy Model. Int. J. Environ. Res. Public Health. 2016,8. (IF: 3.390SCI\SSCI二区,第一作者)

13.Xiulan Han; Junming Li*; et al. Spatiotemporal Evolution of Chinese Ageing from 1992 to 2015 Based on an Improved Bayesian Space-time Model. BMC Public Health. 2018,4.(IF: 3.295 SCI\SSCI二区, 共同一作,通讯作者).

14. Ning Jin#, Junming Li*#, Meijun Jin*, and Xiaoyan Zhang.Spatiotemporal variation and determinants of population’s PM2.5 exposure risk in China, 1998–2017: a case study of the Beijing-Tianjin-Hebei region. Environmental Science and Pollution Research (2020). (IF:4.223 SCI二区, 共同一作,通讯作者)

15. Fei Han#, Junming Li*#. Environmental Protection Tax Effect on Reducing PM2.5 Pollution in China and Its Influencing Factors [J] Polish Journal of Environmental Study, 2021, No. 1, 119-130.(IF: 1.699 SCI\SSCI四区, 共同一作,通讯作者).

16.李俊明.基于Bayesian层次时空模型的我国老龄化分析与预测. 统计研究. 2016.8.

17.李俊明.中国PM2.5时空趋势研究——基于贝叶斯统计视角. 统计与信息论坛. 2019.6.

※ 科研项目

1.教育部人文社科哲学一般项目:多源异构数据贝叶斯时空模型构建与中国PM2.5人口暴露风险研究,19YJCZH079,主持,在研。

2. 科技部国家重点研发计划课题:恶性肿瘤相关时空大数据挖掘、利用研究2016YFC1302504167.4万元,结项,参与。

3.国家自然科学基金青年项目:基于微分几何特性的光学影像三维超分辨计算,61801279,参与,在研。

4.山西省卫健委重点项目:山西省第一次口腔健康流行病学调查,参与,在研。

※教材与专著

1.普通高等教育“十一五”国家级教材《空间数据分析教程》(第二版),科学出版社,独立编写两章。

2.《全球视角下的中国PM2.5时空格局演变探究》,武汉大学出版社,2020.08,独著。

※发明专利

1.国家发明专利一项:一种多尺度嵌套的空间统计单元构建方法 (ZL 201710493603.3),第一发明人。

※联系方式

手机:15034017966

电邮:Lijunming_dr@126.com Lijm@sxufe.edu.cn



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