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个人信息Personal Information
教授
博士生导师
硕士生导师
教师拼音名称:He Yi
出生日期:1987-03-08
电子邮箱:
入职时间:2016-07-01
所在单位:测绘与地理信息学院
学历:博士研究生毕业
办公地点:兰州交通大学测绘与地理信息学院
性别:男
联系方式:13919155269,邮箱:heyi@mail.lzjtu.cn
学位:博士学位
在职信息:在职
毕业院校:兰州大学
- Yi He, Qing Zhang, Qing Zhu, Huaiyuan Chen, Tianbao Huo. A data-knowledge-model synergistic reasoning framework for landslide identification. Remote Sensing of Environment. 2026,340,115404. (JCR1区,中科院 SCI 1区,IF=11.4,TOP).
- Yi He, Shengpeng Cao, Haowen Yan, Lifeng Zhang, Mikalai Filonchyk. Increased sensitivity of ecosystem to meteorological drought reduces carbon uptake in the Yellow River Basin. Journal of Hydrology. 2026,666,134788.(JCR1区,中科院 SCI 1区,IF=6.3,TOP).
- Xue, X., He, Y*., Zhang, Q., Lu, J., & Huo, T.. A scalable graph transformer for large-scale landslide susceptibility mapping: a case study in the Upper Yellow River Basin. International Journal of Geographical Information Science, 2026,1–37.(JCR1区,中科院 SCI 1区,IF=5.2,TOP).
- Yi He, Huaiyuan Chen et al. A Dual-Stream Coding Fusion Network for Landslide Mapping Based on Multisource Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-21, 2025, (JCR1区,中科院 SCI 1区,IF=8.6,TOP).
- Wang Yang, Yi He*, Qing Zhu, Lifeng Zhang, Long Jin. Unwrap-Net: A deep neural network-based InSAR phase unwrapping method assisted by airborne LiDAR data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 218: 510-529. (JCR1区,中科院 SCI 1区,IF=12.2,TOP).
- Yi He, Shengpeng Cao , Qing Zhu , Yujie Ding & Yan Guo. Assessing spatiotemporal consistency of vegetation productivity indicators (SIF, GPP, NPP) in northwest China: climate and vegetation perspectives, GIScience & Remote Sensing, 2025, 62:1, 2573536.(JCR Q1, 中科院 SCI 1区, IF=6.9, TOP).
- Yi He, Binghai Gao, Haowen Yan, Qing Zhang, Lifeng Zhang, Wende Li, Xu He & Jiangang Lu. DBPFNet: a double branch parallel fusion neural network method for land subsidence susceptibility mapping with InSAR observation data, International Journal of Digital Earth, 2025,18:1, 2499199.(JCR Q1, 中科院 SCI 2区, IF=4.9).
- Yi He, Hesheng Chen, Qing Zhu, Qing Zhang, Lifeng Zhang, Tao Liu, Wende Li, Huaiyuan Chen. A heterogeneous ensemble learning method combining spectral, terrain and texture features for landslide mapping[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18:3746-3765.(JCR Q1, 中科院 SCI 2区, IF=5.3).
- Yi He, Tianbao Huo, Binghai Gao, Qing Zhu, Long Jin, Jian Chen, Qing Zhang, Jiapeng Tang. Thaw slump susceptibility mapping based on sample optimization and ensemble learning techniques in Qinghai-Tibet Railway corridor, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17:5443-5459.(JCR Q1, 中科院 SCI 2区, IF=5.5, TOP).
- Yi He, Zhan’ao Zhao, Qing Zhu, Tao Liu, Qing Zhang, Wang Yang, Lifeng Zhang, Qiang Wang. An integrated neural network method for landslide susceptibility assessment based on time-series InSAR deformation dynamic features, International Journal of Digital Earth,2023.DOI:10.1080/17538947.2023.2295408 (JCR Q1,中科院SCI1区, IF=5.1).
- 何毅,杨旺,朱庆.基于 R2AU-Net 的 InSAR 相位解缠方法.测绘学报, 2024,53(3):435-449..
- 何毅,姚圣,陈毅,闫浩文,张立峰. ConvLSTM 神经网络的时序InSAR地面沉降时空预测. 武汉大学学报(信息科学版), 2025, 50(3):488-502..
- Yi He, Zhanao Zhao, Wang Yang, Haowen Yan, Wenhui Wang, Sheng Yao, Lifeng Zhang, Tao Liu. A unified network of information considering superimposed landslide factors sequence and pixel spatial neighbourhood for landslide susceptibility mapping. International Journal of Applied Earth Observation and Geoinformation. 2021, Volume 104,2021,102508. (JCR Q1, 中科院 SCI 1区, IF=7.672, TOP).
- Yi He, Haowen Yan*, Wang Yang, Sheng Yao, Lifeng Zhang, Yi Chen and Tao Liu. Time-Series Analysis and Prediction of Surface Deformation in the Jinchuan Mining Area, Gansu Province, by Using InSAR and CNN–PhLSTM Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, vol. 15, pp. 6732-6751. (JCR Q1, 中科院 SCI 2区, IF=5.5, TOP).
- Yi He, Wenhui Wang, Lifeng Zhang, et al. An identification method of potential landslide zones using InSAR data and landslide susceptibility[J]. Geomatics, Natural Hazards and Risk, 2023(JCR 1区,中科院 2区,IF=4.5).

