Viet‐Ha Nhu

2.6k total citations · 1 hit paper
35 papers, 2.1k citations indexed

About

Viet‐Ha Nhu is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Civil and Structural Engineering. According to data from OpenAlex, Viet‐Ha Nhu has authored 35 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 16 papers in Management, Monitoring, Policy and Law and 8 papers in Civil and Structural Engineering. Recurrent topics in Viet‐Ha Nhu's work include Flood Risk Assessment and Management (20 papers), Landslides and related hazards (15 papers) and Hydrology and Watershed Management Studies (6 papers). Viet‐Ha Nhu is often cited by papers focused on Flood Risk Assessment and Management (20 papers), Landslides and related hazards (15 papers) and Hydrology and Watershed Management Studies (6 papers). Viet‐Ha Nhu collaborates with scholars based in Vietnam, Norway and Iran. Viet‐Ha Nhu's co-authors include Dieu Tien Bui, Nhat‐Duc Hoang, Binh Thai Pham, Phuong Thao Thi Ngo, Himan Shahabi, Ataollah Shirzadi, Baharin Bin Ahmad, Nadhir Al‐Ansari, Wei Chen and Inge Revhaug and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and IEEE Access.

In The Last Decade

Viet‐Ha Nhu

35 papers receiving 2.1k citations

Hit Papers

GIS-based modeling of rainfall-induced landslides using d... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Viet‐Ha Nhu Vietnam 25 968 872 436 403 348 35 2.1k
Ataollah Shirzadi Iran 22 1.5k 1.5× 1.1k 1.3× 520 1.2× 208 0.5× 404 1.2× 31 2.3k
M. B. Dholakia India 13 1.3k 1.3× 1.4k 1.6× 351 0.8× 234 0.6× 299 0.9× 19 2.1k
Xiaoshen Xie China 10 1.2k 1.2× 1.1k 1.3× 420 1.0× 165 0.4× 369 1.1× 19 2.0k
Abhirup Dikshit Australia 26 1.3k 1.3× 878 1.0× 376 0.9× 227 0.6× 301 0.9× 38 2.0k
Zhongfan Zhu China 17 1.1k 1.1× 1.3k 1.5× 259 0.6× 226 0.6× 323 0.9× 66 2.2k
Thomas Oommen United States 31 694 0.7× 927 1.1× 465 1.1× 441 1.1× 183 0.5× 129 2.8k
Zhao Duan China 19 1.0k 1.0× 1.7k 1.9× 448 1.0× 707 1.8× 336 1.0× 61 3.0k
Bahareh Kalantar Japan 30 1.5k 1.6× 894 1.0× 1.1k 2.6× 283 0.7× 555 1.6× 76 3.2k
Hiep Van Le Vietnam 32 1.7k 1.7× 784 0.9× 854 2.0× 494 1.2× 769 2.2× 65 3.3k
Zhice Fang China 18 1.4k 1.4× 1.3k 1.5× 339 0.8× 177 0.4× 339 1.0× 34 2.1k

Countries citing papers authored by Viet‐Ha Nhu

Since Specialization
Citations

This map shows the geographic impact of Viet‐Ha Nhu'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 Viet‐Ha Nhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viet‐Ha Nhu more than expected).

Fields of papers citing papers by Viet‐Ha Nhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viet‐Ha Nhu. 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 Viet‐Ha Nhu. The network helps show where Viet‐Ha Nhu may publish in the future.

Co-authorship network of co-authors of Viet‐Ha Nhu

This figure shows the co-authorship network connecting the top 25 collaborators of Viet‐Ha Nhu. A scholar is included among the top collaborators of Viet‐Ha Nhu 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 Viet‐Ha Nhu. Viet‐Ha Nhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Rokbani, Nizar, Raghvendra Kumar, Adel M. Alimi, et al.. (2022). Impacts of heuristic parameters in PSO inverse kinematics solvers. International Journal of Nonlinear Sciences and Numerical Simulation. 23(6). 833–858. 4 indexed citations
6.
Nhu, Viet‐Ha, Saeid Janizadeh, Mohammadtaghi Avand, et al.. (2020). GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models. Applied Sciences. 10(6). 2039–2039. 87 indexed citations
7.
Nhu, Viet‐Ha, Himan Shahabi, Ebrahim Nohani, et al.. (2020). Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms. ISPRS International Journal of Geo-Information. 9(8). 479–479. 67 indexed citations
8.
Nhu, Viet‐Ha, Nhat‐Duc Hoang, Hieu Nguyen, et al.. (2020). Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area. CATENA. 188. 104458–104458. 129 indexed citations
9.
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
10.
Nhu, Viet‐Ha, Ayub Mohammadi, Himan Shahabi, et al.. (2020). Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images. International Journal of Environmental Research and Public Health. 17(12). 4210–4210. 45 indexed citations
11.
Nhu, Viet‐Ha, Ayub Mohammadi, Himan Shahabi, et al.. (2020). Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment. International Journal of Environmental Research and Public Health. 17(14). 4933–4933. 115 indexed citations
12.
Nhu, Viet‐Ha, Omid Rahmati, Fatemeh Falah, et al.. (2020). Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models. Water. 12(4). 985–985. 63 indexed citations
14.
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Cao, Minh-Tu, Nhat‐Duc Hoang, Viet‐Ha Nhu, & Dieu Tien Bui. (2020). An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength. Engineering With Computers. 38(3). 2185–2207. 26 indexed citations
16.
Ngo, Phuong Thao Thi, Tien Dat Pham, Viet‐Ha Nhu, et al.. (2020). A novel hybrid quantum-PSO and credal decision tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data. Journal of Hydrology. 596. 125682–125682. 45 indexed citations
17.
Nhu, Viet‐Ha, Phuong Thao Thi Ngo, Tien Dat Pham, et al.. (2020). A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping. Remote Sensing. 12(17). 2688–2688. 64 indexed citations
18.
Priyadarshini, Ishaani, Raghvendra Kumar, Lê Hoàng Sơn, et al.. (2020). Analysis of Outbreak and Global Impacts of the COVID-19. Healthcare. 8(2). 148–148. 40 indexed citations
19.
Samui, Pijush, Nhat‐Duc Hoang, Viet‐Ha Nhu, et al.. (2019). A New Approach of Hybrid Bee Colony Optimized Neural Computing to Estimate the Soil Compression Coefficient for a Housing Construction Project. Applied Sciences. 9(22). 4912–4912. 16 indexed citations
20.
Tran, Duc–Tan, et al.. (2017). Design and implementation of site-specific rainfall-induced landslide early warning and monitoring system: a case study at Nam Dan landslide (Vietnam). Geomatics Natural Hazards and Risk. 8(2). 1978–1996. 47 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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