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个人信息Personal Information
副高级
硕士生导师
教师拼音名称：YE Peng
出生日期：1991-07-30
电子邮箱：
入职时间：2021-07-01
所在单位：土木与交通学院
学历：博士研究生毕业
办公地点：扬州大学扬子津校区昭文馆S509室
性别：男
学位：理学博士学位
在职信息：在岗
毕业院校：南京师范大学
学科：地图学与地理信息系统
交通运输规划与管理
- 叶鹏,ChaoqunChu,BingXu,ChunjuZhang,KangZhou,WencongLiu,XueyingZhang.（1/5）Landslide Knowledge Representation Based on Hypergraph Theory.Transactions in GIS,2025,
- 叶鹏,王佳凝.Analysis of the Spatio-Temporal Evolution of Urban Sports Service Facilities in the Yangtze River Delta.SUSTAINABILITY,2024,16(19)
- 叶鹏,刘欣,何鹤鸣,张春菊.基于事件过程建模的台风灾害社交媒体信息聚合与演变特征表达.地理与地理信息科学,2024,
- 叶鹏,JianingWang.Analysis of the Spatio-Temporal Evolution of Urban Sports Service Facilities in the Yangtze River Delta.Sustainability（三区）,2024,
- 叶鹏,杨萌,何炬,何鹤鸣,刘雨平.江苏省357处省级地名文化遗产空间分布数据集.全球变化数据学报(中英文),2024,8(2)193-202.
- 叶鹏,王曙,陈培,贾子谊,鲁艳旭.中国八批5058处重点文物保护单位空间分布数据集.全球变化数据学报(中英文),2023,7(4)362-368.
- 叶鹏,王曙,陈培,贾子谊,鲁艳旭.Spatial Development of Dataset of 5058 National Key Protected Cultural Relic Units of China.Journal of Global Change Data & Discovery,2023,7(4)465-471.
- 叶鹏,杨萌,何炬,何鹤鸣,刘雨平.Spatial Distribution Dataset of 357 Sites of Provincial Toponymic Cultural Heritage in Jiangsu Province.Journal of Global Change Data & Discovery,2024,8(2)308-317.
- 叶鹏,张春菊,陈明珠.Typhoon disaster state information extraction for Chinese texts.SCIENTIFIC REPORTS,2024,14(1)
- 叶鹏,刘欣,何鹤鸣.基于事件过程建模的台风灾害社交媒体信息聚合与演变特征表达.[期刊].河北:地理与地理信息科学,2024,40(2):11-18.
- 叶鹏,Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges.International Journal of Environmental Research and Public Health,2022,
- 叶鹏,刘雨平.Indicator System and Construction Level of Online Service Functions on New Media Platforms of Tourist Attractions: A Case Study of Yangzhou City, China.Sustainability,2023,
- 叶鹏,Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges.International Journal of Environmental Research and Public Health,2022,
- 叶鹏,张雪英,张春菊.基于微博文本的灾害事件信息时空过程聚合方法.测绘学报,2023,第52卷第3期490-500.
- 叶鹏,刘国维,黄毅.Geographic Scene Understanding of High-Spatial-Resolution Remote Sensing Images: Methodological Trends and Current Challenges.APPLIED SCIENCES-BASEL,2022,12(12)
