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Shangjun Zou
Institutions:
Wuhan Business University,
Huazhong University of Science and Technology
Observed institutions:
Wuhan Business University,
Huazhong University of Science and Technology
ORCID:
0000-0002-3912-6036
Observed ORCID:
0000-0002-3912-6036
OpenAlex ID:
A5007020204
Impact of urban expansion on land surface temperature and carbon emissions using machine learning algorithms in Wuhan, China
2022
·
Maomao Zhang
, Abdulla - Al Kafy
, et al.
·
Urban Climate
·
218
Assessing the impact of fractional vegetation cover on urban thermal environment: A case study of Hangzhou, China
2023
·
Maomao Zhang
, Shukui Tan
, et al.
·
Sustainable Cities and Society
·
113
Early ecological security warning of cultivated lands using RF-MLP integration model: A case study on China's main grain-producing areas
2022
·
Shangjun Zou
, Lu Zhang
, et al.
·
Ecological Indicators
·
51
PDF
Integrating Internet media into urban flooding susceptibility assessment: A case study in China
2020
·
Zhongping Zeng
, Jinyu Lan
, et al.
·
Cities
·
42
A Review of Underground Hydrogen Storage in Depleted Oil and Gas Reservoirs
2025
·
Rui Song
, Daiying Feng
, et al.
·
International Journal of Energy Research
·
23
PDF
Research on the Manifestation and Formation Mechanism of New Characteristics of Land Disputes: Evidence from the Yangtze River Economic Belt, China
2024
·
Shukui Tan
, Shangjun Zou
, et al.
·
Land
·
6
PDF
A quantitative evaluation for the feasibility of large-scale underground hydrogen storage in depleted oil and gas reservoirs
2026
·
Daiying Feng
, Yujia Song
, et al.
·
Journal of Energy Storage
·
5
Review on Carbon Sequestration in Salt Rock Caverns: Application, Theory and Potentials in China
2026
·
Rui Song
, Jiayu Chen
, et al.
·
GeoStorage
·
5
Study on Hydrogen Seepage Laws in Tree-Shaped Reservoir Fractures of the Storage Formation of Underground Hydrogen Storage in Depleted Oil and Gas Reservoirs Considering Slip Effects
2026
·
Daiying Feng
, Shangjun Zou
, et al.
·
Energies
PDF
Revealing the Driving Factors of Land Disputes in China: New Insights from Machine Learning and Interpretable Methods
2025
·
Jiayin Li
, Bin Tong
, et al.
·
Land
PDF
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Works count:
10
Citation count:
463
H-index:
6
I10-index:
5
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