深圳大学主页平台管理系统 chengjing--Home--Scientific Research

程璟

Personal information

Highest Degree：Doctoral degree
Professional Title：Assistant Professor

Scientific Research

Home - Scientific Research

Research Interests

Regional planning, land use, data analysis

Vertical Project

[1] 国家自然科学基金青年科学基金项目,基于深度学习的“双碳”目标下战略性新兴产业结构优化,In research.
[2] 广东省基础与应用基础研究基金粤深联合基金,深圳市各区战略性新兴产业集群发展方向研究,In research.

Journal Paper

[1] Jing Cheng.Analyzing the factors influencing the choice of the government on leasing different types of land uses: Evidence from Shanghai of China,Land Use Policy,2020-01-01.ESI Highly Cited Paper
[2] Jing Cheng.Analysis of commercial land leasing of the district governments of Beijing in China,Land Use Policy,2021-01-01.ESI Highly Cited Paper
[3] Jing Cheng.Yang Xie.Jie Zhang*.Industry structure optimization via the complex network of industry space: A case study of Jiangxi Province in China,Journal of Cleaner Production,2022-05-01.
[4] Jing Cheng.Analysis of the government's decision on leasing different lands under public ownership of land,Land,2024-06-01.
[5] Yani Lai.Yuling Wang.Jing Cheng*.Xiangsheng Chen.Quan Liu.Review of constraints and critical success factors of developing urban underground space,Underground Space,2023-06-01.
[6] Jing Cheng.Xiaowei Luo*.Analyzing the direction of urban function renewal based on the complex network,Sustainability,2023-12-01.
[7] Zebin Xing.Jing Cheng*.Heng Cheng.Deep learning method based on physics informed neural net-work for 3D anisotropic steady-state heat conduction problems,Mathematics,2023-09-01.
[8] Pei Yin.Jing Cheng*.A MySQL-based software system of urban land planning database of Shanghai in China,CMES-Computer Modelling in Engineering & Sciences,2023-02-01.
[9] Jing Cheng.Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data,Land Use Policy,2022-10-01.
[10] Jing Cheng.Xiaowei Luo*.Analyzing the land leasing behavior of the government of Beijing, China, via the multinomial logit model,Land,2022-01-01.ESI Highly Cited Paper