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ORCIDJie Zhu 0004
Person information
- affiliation: Nanjing Normal University, MoE Key Laboratory of Virtual Geographic Environmen, China
- affiliation: Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China
Other persons with the same name
- Jie Zhu — disambiguation page
- Jie Zhu 0001 — Nanyang Technological University, Center for Signal Processing, Singapore (and 1 more)
- Jie Zhu 0002
![[0000-0002-8568-037X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8568-037X")
— Nanjing University of Post & Telecommunication, School of Computer Science, Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, China (and 1 more) - Jie Zhu 0003 — University of California Davis, Department of Neurobiology, Physiology and Behavior / Department of Mathematics, CA, USA
- Jie Zhu 0005 — Wuhan University, Research Team on Sustainable Development, China
- Jie Zhu 0006 — Shanghai Jiao Tong University, Department of Electronic Engineering, School of Electronic Information and Electrical Engineering, China
- Jie Zhu 0007 — Microsoft Corporation, Redmond, WA, USA
- Jie Zhu 0008 — Arizona State University, Tempe, AZ, USA
- Jie Zhu 0009 — Soochow University, Suzhou, China
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2020 – today
- 2023
[j14]Jie Zhu, Ziqi Lang, Shu Wang, Mengyao Zhu, Jiaming Na, Jiazhu Zheng:
Using Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA's Black Marble. ISPRS Int. J. Geo Inf. 12(10): 408 (2023)- [j13]Jing Yang, Yizhong Sun, Jie Zhu, Shuying Song:
Simulating urban land-use change based on the multi-hierarchal planning-environment interaction process. Trans. GIS 27(1): 152-175 (2023) - 2022
- [j12]Kaimeng Ding, Shiping Chen, Jiming Yu, Yanan Liu, Jie Zhu:
A New Subject-Sensitive Hashing Algorithm Based on MultiRes-RCF for Blockchains of HRRS Images. Algorithms 15(6): 213 (2022) - [j11]Jing Yang, Jingwen Dong, Yizhong Sun, Jie Zhu, Yi Huang, Sheng Yang:
A constraint-based approach for identifying the urban-rural fringe of polycentric cities using multi-sourced data. Int. J. Geogr. Inf. Sci. 36(1): 114-136 (2022) - [j10]Jie Zhu, Ziqi Lang, Jing Yang, Meihui Wang, Jiazhu Zheng, Jiaming Na:
Integrating Spatial Heterogeneity to Identify the Urban Fringe Area Based on NPP/VIIRS Nighttime Light Data and Dual Spatial Clustering. Remote. Sens. 14(23): 6126 (2022) - 2021
- [j9]Lei Zhang, Jiaming Na, Jie Zhu, Zhikuan Shi, Changxin Zou, Lin Yang:
Spatiotemporal causal convolutional network for forecasting hourly PM2.5 concentrations in Beijing, China. Comput. Geosci. 155: 104869 (2021) - [j8]Jiaming Na, Jie Zhu, Jiazhu Zheng, Shaoning Di, Hu Ding, Lingfei Ma:
Cellular Automata Based Land-Use Change Simulation Considering Spatio-Temporal Influence Heterogeneity of Light Rail Transit Construction: A Case in Nanjing, China. ISPRS Int. J. Geo Inf. 10(5): 308 (2021) - [j7]Hu Ding, Jiaming Na, Shangjing Jiang, Jie Zhu, Kai Liu, Yingchun Fu, Fayuan Li:
Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping - A Case Study of the Loess Plateau, China. Remote. Sens. 13(5): 1021 (2021) - 2020
- [j6]Jie Zhu, Jing Yang, Shaoning Di, Jiazhu Zheng, Leying Zhang:
A novel dual-domain clustering algorithm for inhomogeneous spatial point event. Data Technol. Appl. 54(5): 603-623 (2020) - [j5]Jie Zhu, Jiazhu Zheng, Shaoning Di, Shu Wang, Jing Yang:
A dual spatial clustering method in the presence of heterogeneity and noise. Trans. GIS 24(6): 1799-1826 (2020)
2010 – 2019
- 2019
- [j4]Jing Yang, Jie Zhu, Yizhong Sun, Jianhua Zhao:
Delimitating Urban Commercial Central Districts by Combining Kernel Density Estimation and Road Intersections: A Case Study in Nanjing City, China. ISPRS Int. J. Geo Inf. 8(2): 93 (2019) - [j3]Jing Yang, Yizhong Sun, Bowen Shang, Lei Wang, Jie Zhu:
Understanding Collective Human Mobility Spatiotemporal Patterns on Weekdays from Taxi Origin-Destination Point Data. Sensors 19(12): 2812 (2019) - 2017
- [j2]Jie Zhu, Yizhong Sun, Yueyong Pang:
A density based algorithm to detect cavities and holes from planar points. Comput. Geosci. 109: 178-193 (2017) - [j1]Jie Zhu, Yizhong Sun:
Building an Urban Spatial Structure from Urban Land Use Data: An Example Using Automated Recognition of the City Centre. ISPRS Int. J. Geo Inf. 6(4): 122 (2017)
Coauthor Index
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