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上海海洋大学海洋科学学院导师教师师资介绍简介-冯永玖

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姓名: 冯永玖 导师类别: 博导

所在专业: 海洋科学 研究方向: 物理海洋学、海洋空间信息
学院/单位: 海洋科学学院
专业所属学院: 海洋科学学院
专业技术职务: 教授 行政职务:
性别: 男 E-Mail: yjfeng@shou.edu.cn
最高学位: 博士
通讯地址:
备注:
简历

冯永玖,教授、博士生导师。获同济大学地理信息系统博士学位(2009年),入选第七届高校GIS创新人物、教育部首批全国高校教师党支部书记双带头人;科技部国家重点研发计划项目通讯评审专家。新加坡南洋理工大学(2009)、澳大利亚昆士兰大学(2015-2016)访问****,澳大利亚昆士兰大学荣誉副教授(Honorary Associate Professor)。
主持国家自然基金、教育部、上海科委等科研项目10余项;发表科研论文70余篇,包含SCI/SSCI论文36篇(第一作者30篇)、EI收录14篇,单篇最高引用143次;担任20余个SCI/SSCI期刊审稿人;获专利授权4项。获上海市科技进步三等奖1项(2010)、浦东新区科技进步三等奖1项(2017)、高校科学研究优秀成果奖进步二等奖1项(2018)。


教育经历

1998/09-2009/03 同济大学土木工程学院测量系,学士、硕士、博士

工作经历

2009/01-2009/03 新加坡南洋理工大学,访问****
2015/11-2016/11 澳大利亚昆士兰大学,访问****
2009/06-现在 上海海洋大学海洋科学学院,讲师、副教授、教授
2017/10-现在 澳大利亚昆士兰大学,荣誉副教授(英联邦职称体系第二高等级Level D)

研究成果

[36]Yongjiu Feng*, Chen Gao, Xiaohua Tong*, Shurui Chen, Zhenkun Lei, Jiafeng Wang. (2019). Spatial patterns of land surface temperature and their influencing factors: A case study in Suzhou, China. Remote Sensing, 11, 182 (SCI, IF=3.41)
[35] Hossein Shafizadeh-Moghadam, MasoudMinaei, Yongjiu Feng, Robert Gilmore Pontius Jr*. (2018). GlobeLand30 maps show four times larger gross than net land change from 2000 to 2010 in Asia. International Journal of Applied Earth Observation and Geoinformation, (SCI, JCR一区, IF=4.003), Accepted
[34]Yongjiu Feng, Heping Li, Xioahua Tong*, Lijuan Chen, Yang Liu. (2018). Projection of land surface temperature considering the effects of future land change in the Taihu Lake Basin of China. Global and Planetary Change, 167, 24-34. (SCI, JCR一区, IF=3.982)
[33]Yongjiu Feng*, Jiafeng Wang, Xiaohua Tong*, Yang Liu, Zhenkun Lei, Chen Gao, Shurui Chen. (2018). The effect of observation scale on urban growth simulation using particle swarm optimization-based CA models. Sustainability, 10, 4002. (SCI, JCR二区, IF=2.075)
[32]Yongjiu Feng*, Zongbo Cai, Xiaohua Tong*, Jiafeng Wang, Chen Gao, Shurui Chen, Zhenkun Lei. (2018). Urban growth modeling and future scenario projection using cellular automata models and R package optimx, ISPRS International Journal of Geo-Information, 7(10), 387. (SCI, IF=1.723)
[31]Yongjiu Feng, Qianqian Yang, Xiaohua Tong*, Lijuan Chen. (2018). Evaluating ecological security and examining its relationships with driving factors using GIS and generalized additive model. Science of the Total Environment, 633, 1469–1479 (SCI, JCR一区, IF=4.61)
[30]Yongjiu Feng, Yan Liu, Xiaohua Tong*. (2018). Comparison of metaheuristic cellular automata models: A case study of dynamic land use simulation in the Yangtze River Delta. Computers, Environment and Urban Systems, 70, 138-150. (SSCI, JCR一区, IF=3.75)
[29]Yongjiu Feng, Xiaohua Tong*. (2018). Calibration of cellular automata models using differential evolution to simulate present and future land use. Transactions in GIS, 22(2), 582-601. (SSCI, JCR二区, IF=2.252)
[28]Yongjiu Feng*, Xiaohua Tong. (2018). Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules. GIScience & Remote Sensing, 55(5), 678-698. (SCI, JCR二区, IF=3.049)
[27]Yongjiu Feng*, Yang Liu, Xiaohua Tong*. (2018). Spatiotemporal variation of landscape patterns and their spatial determinants in Shanghai, China. Ecological Indicators, 87, 22–32. (SCI, JCR一区, IF=3.915)
[26] Suman Chakraborti*, Dipendra Nath Das, Biswajit Mondal, Hossein Shafizadeh-Moghadam, Yongjiu Feng. (2018). A neural network and landscape metrics to propose a flexible urban growth boundary: a case study. Ecological Indicators, 193: 952–965. (SCI, JCR一区, IF=3.915)
[25] Zhonghua Hong, Shengyuan Xu, Yun Zhang, Yanglin Han, Yongjiu Feng. Evaluation of the RPC model for Ziyuan-3 three-line array imagery. Journal of the Indian Society of Remote Sensing, DOI: 10.1007/s12524-018-0877-9 (SCI)
[24]Yongjiu Feng*, Yang, Q., Hong, Z., Cui, L. (2018). Modelling coastal land use change by incorporating spatial autocorrelation into cellular automata model. Geocarto International, 33(5): 470-488. (SCI, IF=1.646)
[23]Yongjiu Feng*, Li Cui, Xinjun Chen, Lijuan Chen, Qianqian Yang. (2018). Impacts of changing spatial scales on the CPUE-environment relationships for Ommastrephes bartramii in the northwest Pacific. Fisheries Oceanography, DOI: 10.1111/fog.12398 (SCI, JCR二区, IF=1.794)
[22]Yongjiu Feng, Xinjun Chen*, Feng Gao, Yang Liu. (2018). Impacts of changing scale on Getis-Ord Gi* hotspots of CPUE: a case study of the neon flying squid (Ommastrephes bartramii) in the northwest Pacific Ocean. Acta Oceanologica Sinica, 37(5): 67–76. (SCI)
[21]Yongjiu Feng*, Lijuan Chen, Xinjun Chen*. (2018). The impact of spatial scale on local Moran's I clustering of annual fishing effort for Dosidicus gigas offshore Peru. Journal of Oceanology and Limnology, DOI: 10.1007/s00343-019-7316-9 (SCI)
[20]Yongjiu Feng, Yang Liu, Chen, X. (2018). Modeling monthly spatial distribution of Ommastrephes bartramii CPUE and its spatially nonstationary relationships with environment in the Northwest Pacific. Journal of Ocean University of China, 17(3): 1-12. (SCI)
[19]Yongjiu Feng, Xiaohua Tong*. (2017). Using exploratory regression to identify optimal driving factors for cellular automata modeling of land use change. Environmental Monitoring and Assessment, 189:515. (SCI, IF=1.687)
[18]Yongjiu Feng*, Xiaohua Tong. (2017). Calibrating nonparametric cellular automata with a generalized additive model to simulate dynamic urban growth. Environmental Earth Sciences, 76(14), 496. (SCI, IF=1.569)
[17]Yongjiu Feng*. (2017). Modelling dynamic urban land use change with geographical cellular automata and generalized pattern search optimized rules. International Journal of Geographical Information Science, 31(6): 1198-1219. (SCI, GIS顶级期刊, IF=2.502)
[16]Yongjiu Feng*, Liu M., Chen, Lijuan, Liu, Yu. (2017). Dynamic urban growth simulation with partial least squares regression-based cellular automata in a GIS environment. ISPRS International Journal of Geo-Information, 5(12), 243. (SCI, IF=1.723)
[15]Yongjiu Feng, Liu Yan, Liu Yu. (2017). Spatially explicit assessment of land ecological security with spatial variables and logistic regression modeling in Shanghai, China. Stochastic Environmental Research and Risk Assessment, 31(9), 2235–2249. (SCI, JCR一区, IF=2.629)
[14] Lijuan Chen, Qi Feng, Changsheng Li, Yongping Wei, Yan Zhao, Yongjiu Feng, Hang Zheng, Fengrui Li, Huaya Li. (2017). Impacts of aquaculture wastewater irrigation on soil microbial functional diversity and community structure in arid regions. Scientific Reports, 7, 11193. (SCI, JCR一区, IF=4.259)
[13] Chen, L., Li, C., Feng, Q., Wei, Y., Zheng, H., Zhao, Y., Yongjiu Feng, Li, H. (2017). Shifts in soil microbial metabolic activities and community structures along a salinity gradient of irrigation water in a typical arid region of China. Science of the Total Environment, 598, 64-70. (SCI, JCR一区, IF=4.9)
[12]Yongjiu Feng, Cui, L., Chen, X., Liu, Y. (2017). A comparative study of spatially clustered distribution of jumbo flying squid (Dosidicus gigas) offshore Peru. Journal of Ocean University of China, 6(3), 490-500. (SCI)
[11]Yongjiu Feng, Chen, X., Liu, Y. (2017). Detection of spatial hot spots and variation for the neon flying squid Ommastrephes bartramii resources in the northwest Pacific Ocean. Chinese Journal of Oceanology and Limnology, 35(4), 921-935. (SCI)
[10]Yongjiu Feng, Chen, X., Liu, Yang. (2017). Examining spatiotemporal distribution and CPUE-environment relationships for the jumbo flying squid Dosidicus gigas offshore Peru based on spatial autoregressive model. Chinese Journal of Oceanology and Limnology, DOI: 10.1007/s00343-018-6318-3, (SCI)
[9] Liu, Y., Yongjiu Feng*(Corresponding author) (2016). Simulating the impact of economic and environmental strategies on future urban growth scenarios in Ningbo, China. Sustainability, 8: 1045. (SCI)
[8]Yongjiu Feng*, Liu, Y. (2016). Scenario prediction of emerging coastal city using CA modeling under different environmental conditions: a case study of Lingang New City, China. Environmental Monitoring and Assessment, 188(9), 540. (SCI, IF=1.687)
[7]Yongjiu Feng, Chen, X., Liu, Y. (2016). The effects of changing spatial scales on spatial patterns of CPUE for Ommastrephes bartramii in the northwest Pacific Ocean. Fisheries Research, 183, 1-12. (SCI, JCR一区, IF=2.185)
[6]Yongjiu Feng, Liu, Y., Batty, M. (2016). Modeling urban growth with GIS based cellular automata and least squares SVM rules: a case study in Qingpu–Songjiang area of Shanghai, China. Stochastic Environmental Research and Risk Assessment, 30(5), 1387-1400. (SCI, JCR一区, IF=2.629)
[5]Yongjiu Feng, Liu, Y., Liu, D. (2015). Shoreline mapping with cellular automata and the shoreline progradation analysis in Shanghai, China from 1979 to 2008. Arabia Journal of Geosciences, 8(7), 4337-4351. (SCI)
[4]Yongjiu Feng, Liu, Y. (2015). Fractal dimension as an indicator for quantifying the effects of changing spatial scales on landscape metrics. Ecological Indicators, 53, 18-27. (SCI, JCR一区, IF=3.898)
[3]Yongjiu Feng, Liu Y. (2013). A heuristic cellular automata approach for modelling urban land-use change based on simulated annealing. International Journal of Geographical Information Science, 27(3): 449–466. (SCI, GIS顶级期刊, IF=2.502)
[2]Yongjiu Feng, Liu Y. (2013). A cellular automata model based on nonlinear kernel principal component analysis for urban growth simulation. Environment and Planning B, 40(1): 116–134. (SSCI, JCR二区, IF=2.046)
[1]Yongjiu Feng, Liu Y., Tong X., Liu, M., Deng, S. (2011). Modeling dynamic urban growth using cellular automata and particle swarm optimization rules. Landscape and Urban Planning, 102(3): 188–196. (SCI, JCR一区, IF=4.99)

获奖情况

[1] 2018年第七届高校GIS创新人物
[2] 2018年入选教育部全国高校党支部书记双带头人
[3] 2018年教育部高校科学研究优秀成果奖进步二等奖
[4] 2017年浦东新区科技进步三等奖
[5] 2017年全国GIS应用技能大赛优秀指导教师
[6] 2015年汉宝优秀青年教师奖教金
[7] 2010年上海市科技进步三等奖
[8] 2009年同济大学优秀毕业研究生(博士)
[9] 2008年同济大学光华奖学金(博士)
[10] 2007全国测绘科技论文大赛三等奖

专利著作


论文发表







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