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JUN GENG

Hefei University of Technology

SCHOLARLY PAPERS

3

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108

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Scholarly Papers (3)

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1.

A Universal Canopy Gap Fraction Model for Forests with Various Tree Distributions Based on Nilson's Models Considering Directional Overlaps Among Crowns

Number of pages: 46 Posted: 13 Sep 2023
JUN GENG, Jean-Louis Roujean, Andres Kuusk, Yong Pang, Lili Tu, Teng Zhang and Jing M. Chen
Hefei University of Technology, affiliation not provided to SSRN, University of Tartu - Department of Economics, Chinese Academy of Forestry, Anhui Agricultural University, Hefei University of Technology and University of Toronto
Downloads 65 (924,743)

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Forest canopy gap fraction, universal model, directional overlaps among crowns, Nilson's models, tree distribution

2.

A Novel Model for Calculating Sunlit and Shaded Leaf Area Index: Comprehensive Consideration of Directional Clumping Index and Topographic Effects

Number of pages: 41 Posted: 07 Jan 2026
JUN GENG, Hong Hong, Jean-Louis Roujean, Huaan Jin, Xihan Mu and Jing M. Chen
Hefei University of Technology, Hefei University of Technology, affiliation not provided to SSRN, Institute of Mountain Hazards and Environment Chinese Academy of Sciences, Beijing Normal University (BNU) and University of Toronto
Downloads 26 (1,385,945)

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Sunlit and shaded leaf area index, clumping index, directionality, topographic effect, model evaluation

3.

Comparative Analysis of Urban Heat Island Dynamics in China's Coastal Megaregions: An Evolution-Mechanism-Heterogeneity Framework

Number of pages: 46 Posted: 03 Mar 2026
Yi Zou, Ruiyuan Pan, Jiayuan Chen, Shaowei Ning, Zihao Zheng, Xuan Wang, Yuliang Zhou, JUN GENG, Zhang Linlin and Bhesh Raj Thapa
Hefei University of Technology, Hefei University of Technology, Hefei University of Technology, Hefei University of Technology, Hefei University of Technology, affiliation not provided to SSRN, Hefei University of Technology, Hefei University of Technology, Hefei University of Technology and Pokhara University
Downloads 17 (1,491,251)

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Urban Heat Island, Spatiotemporal Evolution, Multi-factor Driving Mechanism, Spatial heterogeneity, Machine Learning and Explainable AI