Chinh Luu

2.0k total citations · 1 hit paper
42 papers, 1.5k citations indexed

About

Chinh Luu is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Environmental Engineering. According to data from OpenAlex, Chinh Luu has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Global and Planetary Change, 13 papers in Management, Monitoring, Policy and Law and 10 papers in Environmental Engineering. Recurrent topics in Chinh Luu's work include Flood Risk Assessment and Management (33 papers), Hydrology and Drought Analysis (14 papers) and Landslides and related hazards (12 papers). Chinh Luu is often cited by papers focused on Flood Risk Assessment and Management (33 papers), Hydrology and Drought Analysis (14 papers) and Landslides and related hazards (12 papers). Chinh Luu collaborates with scholars based in Vietnam, Australia and China. Chinh Luu's co-authors include Jason von Meding, Binh Thai Pham, Tran Van Phong, Hiep Van Le, Sittimont Kanjanabootra, Huu Duy Nguyen, Quynh Duy Bui, Indra Prakash, Phan Trọng Trịnh and Dong Van Dao and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and International Journal of Environmental Research and Public Health.

In The Last Decade

Chinh Luu

40 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

2020 264 citations Dong Van Dao, Mahmoud Bayat et al. CATENA profile →

Peers

Chinh Luu

GPC

MMPL

WST

Quang‐Thanh Bui Vietnam

Jana Vojteková Slovakia

Matej Vojtek Slovakia

Karim Solaimani Iran

Qiang Zou China

Phuong Thao Thi Ngo Vietnam

Amiya Gayen India

Aurelia Sole Italy

Narges Kariminejad Iran

Pham Viet Hoa Vietnam

Quang‐Thanh Bui Vietnam

Chinh Luu

1.3k ×1.2

GPC

512 ×1.2

MMPL

437 ×1.1

WST

524 ×1.5

258 ×0.9

Citations per year, relative to Chinh Luu Chinh Luu (= 1×) peers Quang‐Thanh Bui

Countries citing papers authored by Chinh Luu

Since Specialization

Citations

This map shows the geographic impact of Chinh Luu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chinh Luu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chinh Luu more than expected).

Fields of papers citing papers by Chinh Luu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chinh Luu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chinh Luu. The network helps show where Chinh Luu may publish in the future.

Co-authorship network of co-authors of Chinh Luu

This figure shows the co-authorship network connecting the top 25 collaborators of Chinh Luu. A scholar is included among the top collaborators of Chinh Luu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chinh Luu. Chinh Luu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Luu, Chinh, et al.. (2025). Processing of Sentinel-1B imaginary to extract water surface salinity incursion using observed data and hybrid models of particle swarm optimization. Earth Science Informatics. 18(1). 1 indexed citations

Bui, Quynh Duy, et al.. (2025). Surface water salinity modeling for the Mekong Delta of Vietnam using hourly salinity observed data, remote sensing, and machine learning models. Advances in Space Research. 76(3). 1417–1437. 1 indexed citations

Bui, Quynh Duy, et al.. (2024). A holistic approach to salinity intrusion vulnerability assessment using geospatial technologies: An application for mekong delta of vietnam. International Journal of Disaster Risk Reduction. 113. 104854–104854. 1 indexed citations

Luu, Chinh, et al.. (2024). Landslide susceptibility and building exposure assessment using machine learning models and geospatial analysis techniques. Advances in Space Research. 74(11). 5489–5513. 6 indexed citations

Liu, Sihong, et al.. (2024). A Spatial Landslide Risk Assessment Based on Hazard, Vulnerability, Exposure, and Adaptive Capacity. Sustainability. 16(21). 9574–9574. 3 indexed citations

Luu, Chinh, et al.. (2023). Urban flood risk assessment using Sentinel-1 on the google earth engine: A case study in Thai Nguyen city, Vietnam. Remote Sensing Applications Society and Environment. 31. 100987–100987. 15 indexed citations

Luu, Chinh, et al.. (2023). Building drought classification map with landsat 8 image data in Bac Binh district, Binh Thuan province. Tạp chí Khoa học Công nghệ Xây dựng (KHCNXD) - ĐHXDHN. 17(2). 120–132. 1 indexed citations

Luu, Chinh, et al.. (2023). Flash flood and landslide susceptibility analysis for a mountainous roadway in Vietnam using spatial modeling. Quaternary Science Advances. 11. 100083–100083. 20 indexed citations

Luu, Chinh, et al.. (2023). An analysis of the relative variable importance to flood fatality using a machine learning approach. Tạp chí Khoa học Công nghệ Xây dựng (KHCNXD) - ĐHXDHN. 17(1). 125–136. 1 indexed citations

10.

Luu, Chinh, et al.. (2021). Flood susceptibility modeling using Radial Basis Function Classifier and Fisher’s linear discriminant function. 13 indexed citations

11.

Luu, Chinh, Quynh Duy Bui, Romulus Costache, et al.. (2021). Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam. Natural Hazards. 108(3). 3229–3251. 31 indexed citations

12.

Dao, Dong Van, Mahmoud Bayat, Davood Mafi-Gholami, et al.. (2020). A spatially explicit deep learning neural network model for the prediction of landslide susceptibility. CATENA. 188. 104451–104451. 264 indexed citations breakdown →

13.

Luu, Chinh, Binh Thai Pham, Nadhir Al‐Ansari, et al.. (2020). Framework of Spatial Flood Risk Assessment for a Case Study in Quang Binh Province, Vietnam. Sustainability. 12(7). 3058–3058. 39 indexed citations

14.

Pham, Binh Thai, Chinh Luu, Tran Van Phong, et al.. (2020). Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam. Journal of Hydrology. 592. 125815–125815. 147 indexed citations

15.

Nhu, Viet‐Ha, Ataollah Shirzadi, Himan Shahabi, et al.. (2020). Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms. International Journal of Environmental Research and Public Health. 17(8). 2749–2749. 190 indexed citations

16.

Pham, Binh Thai, Chinh Luu, Tran Van Phong, et al.. (2020). Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?. Journal of Hydrology. 592. 125615–125615. 106 indexed citations

17.

Nguyễn, Thu Thủy, Huu Hao Ngo, Wenshan Guo, et al.. (2020). New approach of water quantity vulnerability assessment using satellite images and GIS-based model: An application to a case study in Vietnam. The Science of The Total Environment. 737. 139784–139784. 32 indexed citations

18.

Luu, Chinh, Jason von Meding, & Sittimont Kanjanabootra. (2017). Analysing flood fatalities in Vietnam using national disaster database and tree-based methods. 15 indexed citations

19.

Luu, Chinh, et al.. (2015). A proposed flood risk assessment method for Central Vietnam. NOVA (University of Newcastle, Australia). 4 indexed citations

20.

Luu, Chinh, et al.. (2015). Resettlement in Vietnam's hydro power industry: policies and social impact assessment. NOVA (University of Newcastle Australia). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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