Quang‐Thanh Bui

Nhà nghiên cứu Hồ sơ 6/10

89 công bố · 2.785 trích dẫn · h-index 25

Thông tin

🏛️Nơi công tác: Đại học Quốc gia Hà Nội
🔬Lĩnh vực: Thủy lợi
🆔ORCID: 0000-0002-5059-9731
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Chỉ số h-index 25 xếp học giả này vào lĩnh vực Thủy lợi, thuộc nhóm 5% dẫn đầu trong 117 hồ sơ cùng lĩnh vực của danh bạ này.

Công bố tiêu biểu

A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area393 trích dẫn
Agricultural and Forest Meteorology · 2016 · DOI

Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS356 trích dẫn
Journal of Hydrology · 2016 · DOI

Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping209 trích dẫn
Journal of Hydrology · 2019 · DOI

A case study on the relation between city planning and urban growth using remote sensing and spatial metrics184 trích dẫn
Landscape and Urban Planning · 2011 · DOI

Degradation of Coastlines under the Pressure of Urbanization and Tourism: Evidence on the Change of Land Systems from Europe, Asia and Africa110 trích dẫn
Land · 2020 · DOI

Socio-economic effects of agricultural land conversion for urban development: Case study of Hanoi, Vietnam104 trích dẫn
Land Use Policy · 2016 · DOI

A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides103 trích dẫn
Remote Sensing · 2018 · DOI

Convolutional Neural Network—Optimized Moth Flame Algorithm for Shallow Landslide Susceptible Analysis73 trích dẫn
IEEE Access · 2020 · DOI

Gradient Boosting Machine and Object-Based CNN for Land Cover Classification67 trích dẫn
Remote Sensing · 2021 · DOI

A novel flood risk management approach based on future climate and land use change scenarios65 trích dẫn
The Science of The Total Environment · 2024 · DOI

Về lĩnh vực Thủy lợi

117học giả

1.373công bố

23.682trích dẫn

3.8h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Flood Risk Assessment and ManagementLandslides and related hazardsDam Engineering and SafetyCryospheric studies and observationsWater Resources and SustainabilityFire effects on ecosystems

Nơi có nhiều học giả lĩnh vực này nhất: