Zhanjun He

According to our database, Zhanjun He authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Integrating spatiotemporal co-evolution patterns of land types with cellular automata to enhance the reliability of land use projections.

Zhanjun He, Xubin Wang, Xun Liang, Liang Wu, Jing Yao

Int. J. Geogr. Inf. Sci., May, 2024

2023

Measuring the Influence of Multiscale Geographic Space on the Heterogeneity of Crime Distribution.

Zhanjun He, Zhipeng Wang, Yu Gu, Xiaoya An

ISPRS Int. J. Geo Inf., October, 2023

2022

Multiscale analysis of the influence of street built environment on crime occurrence using street-view images.

Zhanjun He, Zhipeng Wang, Zhong Xie, Liang Wu, Zhanlong Chen

Comput. Environ. Urban Syst., 2022

Building function classification in Nanjing, China, using deep learning.

Yongyang Xu, Zhanjun He, Xuejing Xie, Zhong Xie, Jing Luo, Hong Xie

Trans. GIS, 2022

Geographical Detection of Urban Thermal Environment Based on the Local Climate Zones: A Case Study in Wuhan, China.

Renfeng Wang, Mengmeng Wang, Zhengjia Zhang, Tian Hu, Jiawen Xing, Zhanjun He, Xiuguo Liu

Remote. Sens., 2022

Adaptive Unsupervised-Shadow-Detection Approach for Remote-Sensing Image Based on Multichannel Features.

Zhanjun He, Zhizheng Zhang, Mingqiang Guo, Liang Wu, Ying Huang

Remote. Sens., 2022

2020

A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data.

Sheng Hu, Zhanjun He, Liang Wu, Li Yin, Yongyang Xu, Haifu Cui

Comput. Environ. Urban Syst., 2020

Mining spatiotemporal association patterns from complex geographic phenomena.

Zhanjun He, Min Deng, Jiannan Cai, Zhong Xie, Qingfeng Guan, Chao Yang

Int. J. Geogr. Inf. Sci., 2020

2019

A statistical method for detecting spatiotemporal co-occurrence patterns.

Jiannan Cai, Min Deng, Qiliang Liu, Yuanfang Chen, Zhanjun He, Jianbo Tang

Int. J. Geogr. Inf. Sci., 2019

2018

Adaptive detection of statistically significant regional spatial co-location patterns.

Jiannan Cai, Qiliang Liu, Min Deng, Jianbo Tang, Zhanjun He

Comput. Environ. Urban Syst., 2018

2017

Multi-scale approach to mining significant spatial co-location patterns.

Min Deng, Zhanjun He, Qiliang Liu, Jiannan Cai, Jianbo Tang

Trans. GIS, 2017

Multi-level method for discovery of regional co-location patterns.

Min Deng, Jiannan Cai, Qiliang Liu, Zhanjun He, Jianbo Tang

Int. J. Geogr. Inf. Sci., 2017