Personal Information

张永宏，男，1974年11月生，工学博士，二级教授，博士生导师。现任南京信息工程大学自动化学院教授。

主要研究方向：主要从事人工智能、空地协同自主无人系统、遥感大数据分析与深度学习、智能装备与物联网系统集成，以及高等教育教学管理与研究工作。近几年来，主持国家重点研发计划项目、国家自然科学基金重大研究计划项目、国家自然科学基金国际（地区）合作与交流项目、国家自然科学基金面上项目、江苏省科技支撑计划项目20余项、发表高水平学术论文100余篇，授权发明专利10余项。作为主要完成人获得江苏省科学技术奖二等奖，国家地理信息科技进步奖二等奖、日内瓦国际发明展金奖、伦敦国际发明展金奖等重要奖项十余项；荣获中国产学研合作创新奖、江苏省高层次人才培养计划“333”工程（第二层次）中青年科技领军人才、全国气象教学团队（气象大数据分析教学团队）负责人、无锡市“太湖人才计划”创新领军团队（车联网融合感知与安全控制）负责人。

热烈欢迎有学术追求的同学联系我，加入我们实验室攻读硕士和博士学位！

Email: zyh@nuist.edu.cn; yhzhang@cwxu.edu.cn

在研代表性科研项目

[1] 基于多模态数据融合与物理约束的短临强降雨预测研究，国家自然科学基金面上项目，2025-2028，主持；

[2] 面向笼养水禽的巡检机器人关键技术研究与装备创制，江苏省农业科技自主创新资金项目，2024-2027，主持；

[3] 基于双偏振雷达多参量-多任务时空深度学习的强降水短临预报方法研究，国家自然科学基金面上项目，2022-2025，主持；

[4] 车联网融合感知与安全控制，无锡市太湖人才计划创新领军团队项目，2025-2027，主持；

[5] 池塘养殖多功能智能化无人船研发应用，江苏省农机研发制造推广应用一体化试点专项，2024-2026，课题负责人。

结题项目

[1] 米级国产卫星数据在“一带一路”区域的云服务与应用示范，国家重点研发计划政府间重点专项项目，2022-2023，主持；

[2] 设施番茄采摘机器人研制与开发，江苏省现代农机装备与技术示范项目，2022-2024，主持；

[3] 基于多模态卫星数据的短临降水预报系统，风云卫星应用先行计划，2022-2024，主持；

[4] 基于天气系统自动识别的新疆牧区雪灾遥感监测与预警研究，国家自然科学基金面上项目，2019-2022，主持；

[5] 灾害监测预警用自动识别Met-bot及上下文驱使方法研究(CALM)，国家自然科学基金国际（地区）合作与交流项目，2019-2021，主持；

[6] 过渡飞行模式下倾转定翼无人机动力学建模与运动稳定性研究，国家自然科学基金面上项目，2016-2019，主持；

[7] 中尼公路沿线山地灾害遥感监测与预警研究，国家自然科学基金国际（地区）合作与交流项目，2017-2019，主持。

代表性学术论文

2025年

[1] Tiantian Dong, Xianlu Song, Yonghong Zhang*, Xiayang Qin, Yunping Liu, and Zongchun Bai. ViT-Enabled Task-Driven Autonomous Heuristic Navigation Based on Deep Reinforcement Learning, IEEE Robotics and Automation Letters, 2025, 10(6), 5297-5304

[2] Jianqiao Li, Zhihao Huang, Liang Jiang, Yonghong Zhang*. An intelligent fault diagnosis model for bearings with adaptive hyperparameter tuning in multi-condition and limited sample scenarios, Scientific Reports, 2025, 15, 10095

[3] Xiayang Qin, Jingxing Cao, Yonghong Zhang*, Tiantian Dong, Haixiao Cao. Development of an Optimized YOLO-PP-Based Cherry Tomato Detection System for Autonomous Precision Harvesting, Processes, 2025, 13(2), 353

[4] Wei Tian, Ping Song, Yuanyuan Chen, Yonghong Zhang, Liguang Wu, Haikun Zhao, Kenny Thiam Choy Lim Kam Sian, Chunyi Xiang. Short-Term Rolling Prediction of Tropical Cyclone Intensity Based on Multi-Task Learning with Fusion of Deviation-Angle Variance and Satellite Imagery, Advances in Atmospheric Science, 2025, 42, 111-128

[5] Cao Haixiao, Ding Chuanlong, Jiang Liang, Zhang Yonghong, Liu Qi. A Parallel Dual-Branch Deep Learning Framework Integrating VMD Feature Engineering and Multiscale Temporal Feature Fusion for Small-Sample Fault Diagnosis, IEEE Sensors Journal, 2025, 25(7), 12479-12495

[6]  Huairong Chen, Yonghong Zhang, Wen Li, Xiang Zhang, Weiming Liang. A Composite Linear Active Disturbance Rejection Control-Sliding Mode Control Strategy with Nominal Model Compensation for Precision Motion Tracking in Semiconductor Die Attach Machines, Symmetry 2025, 17, 636

2024年

[1] Yonghong Zhang*, Sutong Geng, Guangyi Ma, Linglong Zhu, Qi Liu. An Improvement Multitask Transformer Network for Dual-Polarization Radar Extrapolation, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 510801

[2] Guangyi Ma, Linglong Zhu, Yonghong Zhang*, Jie Huang, Qi Liu, Kenny Thiam Choy Lim Kam Sian. An Improved Deep-Learning-Based Precipitation Estimation Algorithm Using Multitemporal GOES-16 Images, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 4107017

[3] Yonghong Zhang*, Xiayang Qin, Tiantian Dong, Yuchao Li, Hongcheng Song, Yunping Liu, Ziqi Li, and Qi Liu. DSNet: Double Strand Robotic Grasp Detection Network Based on Cross Attention, IEEE Robotics and Automation Letters, 2024, 9(5), 4702-4709

[4] Ziqi Li, Yuxuan Su, Yonghong Zhang*, Hefeng Yin, Jun Sun, Xiaojun Wu. Remote sensing image classification method based on improved ShuffleNet convolutional neural network, Intelligent Data Analysis, 2024, 27, 397-414

[5] Ziqi Li, Hongcheng Song, Hefeng Yin, Yonghong Zhang*, Guangyong Zhang. Locality-Constraint Discriminative Nonnegative Representation for Pattern Classification, Mathematics, 2024, 12 52

[6] Linglong Zhu, Zhou Zhou, Yonghong Zhang*, Yan Sun, Xu Liu, Xi Kan, Haixiao Cao, Ziqi Li. Water body extraction based on multi-scale attention from synthetic aperture radar images, Journal of Applied Remote Sensing, 2024, 18(3), 036510

[7] Peishan Li, Yonghong Zhang*, Junfei Wang, Guangyi Ma. Enduring Memory Self-learning Multi-level Transformer Network for Remote Sensing Image Super-Resolution, 2025, ICPR 2024, LNCS 15320, 345-358

[8] Peishan Li, Yonghong Zhang*, Junfei Wang, Guangyi Ma, Ziwei Yuan. Adaptive Enhanced Reversible Flow Model for Remote Sensing Image Super Resolution, 2024, ICPR 2024, LNCS 15331, 373-388

[9] Xu Liu, Xi Kan, Yonghong Zhang*, Linglong Zhu, Qi Liu, Zhou Zhou, Guangyi Ma. FSC-USNet: Fractional Snow Cover Retrieval on the Tibetan Plateau by Integrating Improved Attention Mechanisms, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17, 10083

[10] Runzhe Tao, Yonghong Zhang, Jiangeng Wang, Peibei Zheng, Liyang Liu. U-HRNet plus: a real-time precipitation estimation method based on the fusion of temporal and spatial domain features, International Journal of Remote Sensing, 2024, 45(13), 4300-4323

[11] Qi Liu, Yuanyuan Jin, Xuefei Cao, Xiaodong Liu, Xiaokang Zhou, Yonghong Zhang, Xiaolong Xu, Lianyong Qi. An Entity Ontology-Based Knowledge Graph Embedding Approach to News Credibility Assessment, IEEE Transactions on Computational Social Systems, 2024, 11(4), 5308

[12] Wei Tian, Yuanyuan Chen, Ping Song, Haifeng Xu, Liguang Wu, Yonghong Zhang, Chunyi Xiang, Shifeng Hao. TCIP-Net: Quantifying Radial Structure Evolution for Tropical Cyclone Intensity Prediction, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 4109314

[13] Qi Liu, Jiawei Sun, Yonghong Zhang, Xiaodong Liu. DenMerD: a feature enhanced approach to radar beam blockage correction with edge‑cloud computing, Journal of Cloud Computing : Advances, System and Applications, 2024, 13, 32

[14] Ziwen Zhang, Qi Liu Xiaodong Liu, Yonghong Zhang, Zihao Du, Xuefei Cao. PMNet: a multi‑branch and multi‑scale semantic segmentation approach to water extraction from high‑resolution remote sensing images with edge‑cloud computing, Journal of Cloud Computing : Advances, System and Applications, 2024, 13, 76

[15] Haijun Wang, Pu Xue, Yonghong Zhang, Liang Jiang, Shengxu Wang. Research on the Influence of Disc–Drum Connection Bolt Preloading Rotor Assembly Modal Characteristics and Diagnosis Technology, Machines 2024, 12, 83

[16] Xingan Xue, Xiaoping Zhao, Yonghong Zhang, Mengyao Ma, Can Bu, Peng Peng. Federated transfer learning with consensus knowledge distillation for intelligent fault diagnosis under data privacy preserving, Measurement Science and Technology, 2024, 35, 015108

[17] Wei Tian, Lei Yi, Xianghua Niu, Rong Fang, Lixia Zhang, Huanhuan Liu, Zhuo Xu, Shengqin Jiang, Yonghong Zhang. RadarNet: A parallel spatiotemporal encoder network for radar extrapolation, Neurocomputing, 2024, 591, 127665

[18] Wei Tian, Yuanyuan Chen, Ping Song, Haifeng Xu, Liguang Wu, Kenny Thiam Choy Lim Kam Sian, Yonghong Zhang, Chunyi Xiang. Predicting the Intensity of Tropical Cyclones over the Western North Pacific Using a Dual-Branch Spatiotemporal Attention Convolutional Network, Weather and Forecasting, 2024, 39, 807

[19] Pei Shi, Liang Kuang, Limin Yuan, Quan Wang, Guanghui Li, Yongming Yuan, Yonghong Zhang, Guangyan Huang. Dissolved oxygen prediction using regularized extreme learning machine with clustering mechanism in a black bass aquaculture pond, Aquacultural Engineering, 2024, 105, 102408

[20] 李子奇, 苏宇轩, 孙俊, 张永宏*, 夏庆锋, 尹贺峰. 基于深度学习的多聚焦图像融合方法前沿进展, 计算机科学与探索, 2024, 18(9), 2276-2292

[21] 逯焕宇, 张永宏*, 马光义, 谢东林, 田伟. 基于半监督对抗学习的遥感图像水体提取, 计算机工程, 2024, 50(7), 251-263

[22] 张永宏*, 李宇超, 董天天, 秦夏洋, 刘云平, 曹景兴. 非结构化环境下番茄采摘机器人目标识别与检测, 中国农机化学报, 2024, 45(4), 205-213

[23] 张永宏, 李飞翔, 董天天, 秦夏洋, 陈城, 方卫华. 基于无人机平台的时空影像法视频测流技术应用研究, 中国农村水利水电, 2024, 10, 1-6

[24] 孙成杰, 王剑庚, 张永宏, 王雯皎, 朱灵龙, 田丰, 宋凯达. 2002-2021年北半球中高纬度典型山脉积雪的时空变化对比分析, 冰川冻土, 2024, 46(2), 475-488

[25] 周舟, 朱灵龙, 张永宏, 阚希, 刘旭, 曹海啸, 王剑庚. 基于FY-3B被动微波数据的青藏高原降尺度机器学习雪深反演, 冰川冻土, 2024, 46(2), 539-554

2023年

[1] Linglong Zhu, Guangyi Ma, Yonghong Zhang*, Jiangeng Wang, Xi Kan. Reconstruction of Snow Cover in Kaidu River Basin via Snow Grain Size Gap-Filling Based on Machine Learning, Water, 2023, 15, 3726

[2] Xi Kan, Xu Liu, Zhou Zhou, Yonghong Zhang*, Linglong Zhu, Kenny Thiam Choy Lim Kam Sian, Qi Liu. Analysis of Spatiotemporal Variation and Influencing Factors of PM2.5 in China Based on Multisource Data, Sustainability, 2023, 15, 14656

[3] Guangyi Ma, Linglong Zhu, Yonghong Zhang*, Kenny Thiam Choy Lim Kam Sian, Yixin Feng, Tianming Yu. Snow Cover Detection Using Multi-Temporal Remotely Sensed Images of Fengyun-4A in Qinghai-Tibetan Plateau, Water, 2023, 15, 3329

[4] Xi Kan, Shenghao Zhu, Yonghong Zhang*, Chengshan Qian. A Lightweight Human Fall Detection Network, Sensors, 2023, 23, 9069

[5] Xi Kan, Zhengsong Lu, Yonghong Zhang*, Linglong Zhu, Kenny Thiam Choy Lim Kam Sian, Jiangeng Wang, Xu Liu, Zhou Zhou, Haixiao Cao. DSRSS-Net: Improved-Resolution Snow Cover Mapping from FY-4 Satellite Images Using the Dual-Branch Super-Resolution Semantic Segmentation Network, Remote Sensing, 2023, 15, 4431

[6] Guangyi Ma, Jie Huang, Yonghong Zhang*, Lingong Zhu, Kenny Thiam Choy Lim Kam Sian, Yixin Feng, Tianming Yu. A Deep Learning-Based Algorithm for Identifying Precipitation Clouds Using Fengyun-4A Satellite Observation Data, Sensors, 2023, 23, 6832

[7] Yonghong Zhang*, Huanyu Lu, Guangyi Ma, Huajun Zhao, Donglin Xie, Sutong Geng, Wei Tian, Kenny Thiam Choy Lim Kam Sian. MU-Net: Embedding MixFormer in Unet to Extract Water Bodies from Remote Sensing Images, Remote Sensing, 2023, 15, 3559

[8] Tiantian Dong, Yonghong Zhang*, Qianyu Xiao, Yi Huang. The Control Method of Autonomous Flight Avoidance Barriers of UAVs in Confined Enviroments, Sensors, 2023, 23, 5896

[9] Yonghong Zhang*, Sutong Geng, Wei Tian, Guangyi Ma, Huajun Zhao, Donglin Xie, Huanyu Lu, Kenny Thiam Choy Lim Kam Sian. Weather Radar Echo Extrapolation with Dynamic Weight Loss, Remote Sensing, 2023, 15, 3138

[10] Chong Zhang, Yonghong Zhang*, Haifeng Lin. Multi-Scale Feature Interaction Network for Remote Sensing Change Detection, Remote Sensing, 2023, 15, 2880

[11] Yonghong Zhang*, Huajun Zhao, Guangyi Ma, Donglin Xie, Sutong Geng, Huanyu Lu, Wei Tian, Kenny Thiam Choy Lim Kam Sian. MAAFEU-Net: A Novel Land Use Classification Model Based on Mixed Attention Module and Adjustable Feature Enhancment Layer in Remote Sensing Images, International Journal of Geo-Information, 2023, 12, 206

[12] Tiantian Dong, Yonghong Zhang*, Yunping Liu, Cheng Chen. Quantitative Study of Load Stability of Quadrotor Based on Lyapunov Exponents, International Journal of Antennas and Propagation, 2023, 9918890

[13] Yonghong Zhang*, Xingan Xue, Xiaoping Zhao, Lihua Wang. Federated learning for intelligent fault diagnosis based on similarity collaboration, Measurement Science and Technology, 2023, 34(4): 5103

[14] Yonghong Zhang*, Donglin Xie, Wei Tian, Huajun Zhao, Sutong Geng, Huanyu Lu, Guangyi Ma, Jie Huang, Kenny Thiam Choy Lim Kam Sian. Construction of an Integrated Drought Monitoring Model Based on Deep Learning Algorithms, Remote Sensing, 2023, 15, 667

[15] Qi Liu, Lei Zeng, Muhammad Bilal, Huobing Song, Xiaodong Liu, Yonghong Zhang, Xuefei Cao. A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter, IEEE Transactions on Green Communications and Networking, 2023, 7(4), 1667-1677

[16] Chong Ma, Liguo Weng, Min Xia, Haifeng Lin, Ming Qian, Yonghong Zhang. Dual-branch network for change detection of remote sensing image, Engineering Applications of Artificial Intelligence, 2023, 123, 106324

[17] Qi Liu, Yang Li, Muhammad Bilal, Xiaodong Liu, Yonghong Zhang, Huihui Wang, Xiaolong Xu, Hui Lu. CFNet: An Eigenvalue Preserved Approach to Multiscale Building Segmentation in High-Resolution Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16, 2481

[18] Wei Tian, Xinxin Zhou, Xianhua Niu, Linhong Lai, Yonghong Zhang, and Kenny Thiam Choy Lim Kam Sian. A Lightweight Multitask Learning Model with Adaptive Loss Balance for Tropical Cyclone Intensity and Size Estimation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16, 1057

[19] Wei Tian, Linhong Lai, Xianghua Niu, Xinxin Zhou, Yonghong Zhang, Kenny Thiam Choy Lim Kam Sian. Estimating tropical cyclone intensity using dynamic balance convolutional neural network from satellite imagery, Journal of Applied Remote Sensing, 2023, 17(2), 024513-1

[20] Zhanmign Ma, Min Xia, Haifeng Lin, Ming Qian, Yonghong Zhang. FENet: feature enhancement network for land cover classification, International Journal of Remote Sensing, 2023, 44(5), 1702-1725

[21] Zhiyun Yang, Qi Liu, Hao Wu, Xiaodong Liu, Yonghong Zhang. CEMA-LSTM: Enhancing Contextual Feature Correlation for Radar Extrapolation Using Fine-Grained Echo Datasets, CMES-Computer Modeling in Engineering & Sciences, 2023, 135(1), 45-64

[22] 黄杰, 张永宏*, 马光义, 朱灵龙, 田伟. 改进U-Net 的风云四号卫星降水估计算法研究, 计算机工程与应用, 2023, 59(11), 285-293

2022年

[1] Guangyi Ma , Linglong Zhu, Yonghong Zhang*, Jie Huang, Yan Sun, and Wei Tian. Improvement of a Near-Real-Time Precipitation Estimation Algorithm Using Deep Learning, IEEE Geoscience and Remote Sensing Letters, 2022, 19, 1006105

[2] Linglong Zhu, Guangyi Ma, Yonghong Zhang*, Jiangeng Wang, Wei Tian, Xi Kan. Accelerated decline of snow cover in China from 1979 to 2018 observed from space, Science of The Total Environment, 2022, 814: 152491

[3] Chaoyun Yang, Yonghong Zhang*, Min Xia, Haifeng Lin, Jia Liu and Yang Li. Satellite Image for Cloud and Snow Recognition Based on Lightweight Feature Map Attention Network, International Journal of Geo-Information, 2022, 11, 390

[4] Xiaoping Zhao, Fan Shao, Yonghong Zhang. A Novel Joint Adversarial Domain Adaptation Method for Rotary Machine Fault Diagnosis under Different Working Conditions, Sensors 2022, 22, 9007

[5] Kai Pang, Liguo Weng, Yonghong Zhang, Jia Liu, Haifeng Lin, Min Xia. SGBNet: An Ultra Light-weight Network for Real-time Semantic Segmentation of Land Cover, International Journal of Remote Sensing, 2022, 43(15-16), 5917-5939

[6] Hao Wu, Qi Liu, Xiaodong Liu, Yonghong Zhang, Zhiyun Yang. An edge‑assisted cloud framework using a residual concatenate FCN approach to beam correction in the internet of weather radars, World Wide Web, 2022, 25, 1923-1949

[7] Shengguang Chu, Peng Li, Min Xia, Haifeng Lin, Ming Qian, Yonghong Zhang. DBFGAN: Dual Branch Feature Guided Aggregation Network for remote sensing image, International Journal of Applied Earth Observation and Geoinformation, 2022, 116, 103141

[8] Shoukuan Miao, Min Xia, Ming Qian, Yonghong Zhang, Jia Liu, Haifeng Lin. Cloud/shadow segmentation based on multi-level feature enhanced network for remote sensing imagery, International Journal of Remote Sensing, 2022, 43(15-16), 5940-5960

[9] Yang Li, Hui Lu, Qi Liu, Yonghong Zhang, Xiaodong Liu. SSDBN: A Single-Side Dual-Branch Network with Encoder–Decoder for Building Extraction, Remote Sensing, 2022, 14, 768

[10] JiangengWang, Linglong Zhu, Yonghong Zhang, Wei Huang, Kaida Song, Feng Tian. Characterizing Spatiotemporal Patterns of Snowfall in the Kaidu River Basin from 2000-2020 Using MODIS Observations, Remote Sensing, 2022, 14, 5885

[11] Wei Tian, Xinxin Zhou, Wei Huang, Yonghong Zhang, Pengfei Zhang, Shifeng Hao. Tropical Cyclone Intensity Estimation Using Multidimensional Convolutional Neural Network from Multichannel Satellite Imagery, IEEE Geoscience and Remote Sensing Letters, 2022, 19, 5511105

[12] Qi Liu, Jing Zhang, Xiaodong Liu, Yonghong Zhang, Xiaolong Xu, Mohammad Khosravi, Muhammad Bilal. Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks, Physical Communication, 2022, 51, 101584

[13] Qi Liu, Xueyan Wu, Xiaodong Liu, Yonghong Zhang, Yuemei Hu. Near-data Prediction Based Speculative Optimization in a Distribution Environment, Mobile Networks and Applications, 2022, 27(6), 2339-2347

[14] 张永宏*, 许帆, 阚希, 曹海啸. 基于多尺度特征融合网络的新疆积雪覆盖度估算, 计算机工程, 2022, 48(3), 288-295

[15] 田丰, 张永宏*, 王剑庚, 朱灵龙, 宋凯达. 2003-2020年新疆北部积雪因子时空变化分析, 科学技术与工程, 2022, 22(17), 6818-6827

[16] 张永宏*, 邵凡, 赵晓平, 王丽华, 吕凯扬, 张中洋. 基于多标签零样本学习的滚动轴承故障诊断, 振动与冲击, 2022, 41(11), 55-64

[17] 张永宏*, 张中洋, 赵晓平, 王丽华, 邵凡, 吕凯扬. 基于VAE-GAN和FLCNN的不均衡样本轴承故障诊断方法, 2022, 41(9), 199-209

2021年及以前 

[1] Linglong Zhu, Yonghong Zhang*, Jiangeng Wang, Wei Tian, Qi Liu, Guangyi Ma, Xi Kan and Ya Chu. Downscaling Snow Depth Mapping by Fusion of Microwave and Optical Remote-Sensing Data Based on Deep Learning. Remote Sensing. 2021, 13, 584

[2] Runzhe Tao, Yonghong Zhang*, Lihua Wang, Qi Liu & Jiangeng Wang. U-High resolution network (U-HRNet): cloud detection with high-resolution representations for geostationary satellite imagery, International Journal of Remote Sensing, 2021, 42(9), 3511-3533

[3] Yonghong Zhang*, Hao Liu, Wei Tian & Jiangeng Wang. Estimation of precipitation intensity based on small wisely network (SW-Net), International Journal of Remote Sensing, 2021, 42(14), 5321-5341

[4] Yonghong Zhang*, Shiwei Chen, Wei Tian, and Shuai Chen. Radar reflectivity and meteorological factors merging based precipitation estimation neural network. Earth and Space Science, 2021, 8, e2021EA001811

[5] Yonghong Zhang*, Shiwei Chen, Wei Tian, Guangyi Ma, and Shuai Chen. Offline Single-Polarization Radar Quantitative Precipitation Estimation Based on a Spatiotemporal Deep Fusion Model, Advances in Meteorology, 2021, 9659167

[6] Kaushal Raj Gnyawali, Yonghong Zhang*, Guojie Wang, Lijuan Miao, Ananta Man Singh Pradhan, Basanta Raj Adhikari, Liming Xiao. Mapping the susceptibility of rainfall and earthquake triggered landslides along China–Nepal highways, Bulletin of Engineering Geology and the Environment, 2020, 79, 587-601

[7] Yonghong Zhang*, Taotao Ge, Wei Tian, Yuei-An Liou. Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China, Remote Sensing, 2019, 11, 2801

[8] Yonghong Zhang*, Guanghao Xia, Jiangeng Wang, and Dron Lha. A Multiple Feature Fully Convolutional Network for Road Extraction From High-Resolution Remote Sensing Image Over Mountainous Areas, IEEE Geoscience and Remote Sensing Letters, 2019, 16(10), 1600-1604

[9] Linglong Zhu, Yonghong Zhang*, Xi Kan, Jiangeng Wang. Transport Paths and Identification for Potential Sources of Haze Pollution in the Yangtze River Delta Urban Agglomeration from 2014 to 2017. Atmosphere, 2018, 9, 502

[10] Yonghong Zhang*, Ting Cao, Xi Kan, Jiangeng Wang, Wei Tian. Spatial and Temporal Variation Analysis of Snow Cover Using MODIS over Qinghai-Tibetan Plateau during 2003–2014, Journal of the Indian Society of Remote Sensing, 2017, 45(5), 887-897

[11] Yonghong Zhang*, Xi Kan, Wei Ren, Ting Cao, Wei Tian, Jiangeng Wang. Snow Cover Monitoring in Qinghai-Tibetan Plateau Based on Chinese Fengyun-3/VIRR Data, Journal of the Indian Society of Remote Sensing, 2017, 45(2), 271-283