Formal Properties of Cognitive Distance in Geographical Space. - Cuihong Qi; Hong Shu; Aiping Xu (ICAT Workshops, 2006)

Computing Geographical Reality with Animated Map Language. - Hong Shu; Cuihong Qi; Geoffrey Edwards (ICAT Workshops, 2006)

Computing spatiotemporal variogram and covariance model. - Aiping Xu; Qi Wang; Li Hu; Hong Shu (ICNC, 2011)

Spatial regression analysis in hemorrhagic fever with renal syndrome (HFRS) in China. - Xin Feng; Shihong Du; Hong Shu (ICSDM, 2011)

Sobol' sensitivity analysis of parameters in the common land model for simulation of water and energy fluxes. - Jianhui Xu; Hong Shu; Hongnan Jiang; Lin Dong (Earth Sci. Informatics, 2012)

DEnKF-Variational Hybrid Snow Cover Fraction Data Assimilation for Improving Snow Simulations with the Common Land Model. - Jianhui Xu; Hong Shu; Lin Dong (Remote. Sens., 2014)

Spectral-spatial conditional random field classifier with location cues for high spatial resolution imagery. - Ji Zhao 006; Yanfei Zhong; Hong Shu; Liangpei Zhang 001 (IGARSS, 2015)

Spatio-temporal kriging based on the product-sum model: some computational aspects. - Jiaqi Xu; Hong Shu (Earth Sci. Informatics, 2015)

An improved coarse-grained parallel algorithm for computational acceleration of ordinary Kriging interpolation. - Hongda Hu; Hong Shu (Comput. Geosci., 2015)

Sub-Pixel Mapping Based on Conditional Random Fields for Hyperspectral Remote Sensing Imagery. - Ji Zhao 006; Yanfei Zhong; Yunyun Wu; Liangpei Zhang 001; Hong Shu (IEEE J. Sel. Top. Signal Process., 2015)

Feature extraction framework in class space for hyperspectral image classification. - Ji Zhao 006; Yanfei Zhong; Rongrong Gao; Liangpei Zhang 001; Hong Shu (IGARSS, 2016)

Big data analytics: six techniques. - Hong Shu (Geo spatial Inf. Sci., 2016)

High-Resolution Image Classification Integrating Spectral-Spatial-Location Cues by Conditional Random Fields. - Ji Zhao 006; Yanfei Zhong; Hong Shu; Liangpei Zhang 001 (IEEE Trans. Image Process., 2016)

Spatiotemporal regression Kriging to predict precipitation using time-series MODIS data. - Dangui Hu; Hong Shu; Hongda Hu; Jianhui Xu (Clust. Comput., 2017)

Study on the Test Scenarios of Level 2 Automated Vehicles. - Li Huang; Qin Xia; Fei Xie; Hai-Lin Xiu; Hong Shu (Intelligent Vehicles Symposium, 2018)

A Certificateless Aggregate Signature Scheme Based on Blockchain for EMR. - Hong Shu; Fulong Chen 002; Dong Xie 005; Ping Qi; Yongqing Huang (CSS (1), 2019)

Optical remote-sensing data based research on detecting soil salinity at different depth in an arid-area oasis, Xinjiang, China. - Hongnan Jiang; Hong Shu (Earth Sci. Informatics, 2019)

An Aggregate Signature Scheme Based on a Trapdoor Hash Function for the Internet of Things. - Hong Shu; Fulong Chen 002; Dong Xie 005; Liping Sun; Ping Qi; Yongqing Huang (Sensors, 2019)

Integrity Monitoring for Bluetooth Low Energy Beacons RSSI Based Indoor Positioning. - Haiyun Yao; Hong Shu; Xinlian Liang; Hongji Yan; Hongxing Sun (IEEE Access, 2020)

An integrity monitoring algorithm for WiFi/PDR/smartphone-integrated indoor positioning system based on unscented Kalman filter. - Haiyun Yao; Hong Shu; Hongxing Sun; B. G. Mousa; Zhenghang Jiao; Yingbo Suo (EURASIP J. Wirel. Commun. Netw., 2020)

Low-rank representation based robust face recognition by two-dimensional whitening reconstruction. - Shuo Feng; Changpeng Wang; Hong Shu; Tingyu Zhang (Frontiers Comput. Sci., 2020)

Novel Soil Moisture Estimates Combining the Ensemble Kalman Filter Data Assimilation and the Method of Breeding Growing Modes. - Yize Li; Hong Shu; B. G. Mousa; Zhenhang Jiao (Remote. Sens., 2020)

A Novel Scheme for Merging Active and Passive Satellite Soil Moisture Retrievals Based on Maximizing the Signal to Noise Ratio. - B. G. Mousa; Hong Shu; Mohamed Freeshah; Aqil Tariq (Remote. Sens., 2020)

CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan. - Aqil Tariq; Hong Shu (Remote. Sens., 2020)

An Efficient Certificateless Aggregate Signature Scheme for Blockchain-Based Medical Cyber Physical Systems. - Hong Shu; Ping Qi; Yongqing Huang; Fulong Chen 002; Dong Xie 005; Liping Sun (Sensors, 2020)

Test Scenarios Construction Based on Combinatorial Testing Strategy for Automated Vehicles. - Hong Shu; Haoran Lv; Kang Liu; Kang Yuan; Xiaolin Tang (IEEE Access, 2021)

Imaging features of skeletal muscle lymphoma: a case report and literature review. - Shuxi Gao; Hong Shu; Hua Yang (BMC Medical Imaging, 2021)

Reliability and mobility aware task offloading strategy and scheduling algorithm in wisdom medical scenario. - Ping Qi; Hong Shu; Qiang Zhu (J. Intell. Fuzzy Syst., 2021)

Characterization of the 2014 Indus River Flood Using Hydraulic Simulations and Satellite Images. - Aqil Tariq; Hong Shu; Alban Kuriqi; Saima Siddiqui; Alexandre S. Gagnon; Linlin Lu; Nguyen Thi Thuy Linh; Quoc Bao Pham (Remote. Sens., 2021)

Quantitative Analysis of Forest Fires in Southeastern Australia Using SAR Data. - Aqil Tariq; Hong Shu; Qingting Li; Orhan Altan; Mobushir Riaz Khan; Muhammad Fahad Baqa; Linlin Lu (Remote. Sens., 2021)

Learning One-Class Hyperspectral Classifier from Positive and Unlabeled Data for Low Proportion Target. - Hengwei Zhao; Yanfei Zhong; Xin He; Xinyu Wang 003; Hong Shu (CoRR, 2022)

Evaluation of Community Livability Using Gridded Basic Urban Geographical Data - A Case Study of Wuhan. - Qiong Luo 004; Hong Shu; Zhongyuan Zhao; Rui Qi; Youxin Huang (ISPRS Int. J. Geo Inf., 2022)

Exploration of Financial Market Credit Scoring and Risk Management and Prediction Using Deep Learning and Bionic Algorithm. - Peng Du; Hong Shu (J. Glob. Inf. Manag., 2022)

Research on Vehicle Lane Change Warning Method Based on Deep Learning Image Processing. - Qiang Zhang; Ziming Sun; Hong Shu (Sensors, 2022)

Driving Tasks Transfer Using Deep Reinforcement Learning for Decision-Making of Autonomous Vehicles in Unsignalized Intersection. - Hong Shu; Teng Liu; Xingyu Mu; Dongpu Cao (IEEE Trans. Veh. Technol., 2022)

Design and Implementation of China Financial Risk Monitoring and Early Warning System Based on Deep Learning. - Peng Du; Hong Shu (IEEE Access, 2023)

One-Class Risk Estimation for One-Class Hyperspectral Image Classification. - Hengwei Zhao; Yanfei Zhong; Xinyu Wang 003; Hong Shu (IEEE Trans. Geosci. Remote. Sens., 2023)

Monitoring the population change and urban growth of four major Pakistan cities through spatial analysis of open source data. - Rana Waqar Aslam; Hong Shu; Andaleeb Yaseen (Ann. GIS, 2023)

Wetland identification through remote sensing: Insights into wetness, greenness, turbidity, temperature, and changing landscapes. - Rana Waqar Aslam; Hong Shu; Kanwal Javid; Shazia Pervaiz; Farhan Mustafa; Danish Raza; Bilal Ahmed; Abdul Quddoos; Saad Al-Ahmadi 002; Wesam Atef Hatamleh (Big Data Res., 2024)

A Blockchain-Based Trustworthy Access Control Scheme for Medical Data Sharing. - Canling Wang; Wei Wu; Fulong Chen 002; Hong Shu; Ji Zhang 001; Yuxuan Zhang; Taochun Wang; Dong Xie 005; Chuanxin Zhao (IET Inf. Secur., 2024)

Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data. - Rana Waqar Aslam; Hong Shu; Iram Naz; Abdul Quddoos; Andaleeb Yaseen; Khansa Gulshad; Saad S. Alarifi (Remote. Sens., 2024)