Pham Viet Hoa

1.6k total citations · 2 hit papers
29 papers, 1.3k citations indexed

About

Pham Viet Hoa is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Pham Viet Hoa has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 11 papers in Environmental Engineering and 10 papers in Atmospheric Science. Recurrent topics in Pham Viet Hoa's work include Flood Risk Assessment and Management (13 papers), Hydrological Forecasting Using AI (6 papers) and Hydrology and Watershed Management Studies (5 papers). Pham Viet Hoa is often cited by papers focused on Flood Risk Assessment and Management (13 papers), Hydrological Forecasting Using AI (6 papers) and Hydrology and Watershed Management Studies (5 papers). Pham Viet Hoa collaborates with scholars based in Vietnam, Norway and Japan. Pham Viet Hoa's co-authors include Tien Dat Pham, Phuong Thao Thi Ngo, Pijush Samui, Dieu Tien Bui, Nhat‐Duc Hoang, Nguyen Q. Minh, Romulus Costache, Francisco Martínez‐Álvarez, Nguyễn An Bình and Abolfazl Jaafari and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Pham Viet Hoa

29 papers receiving 1.2k citations

Hit Papers

A novel deep learning neural network approach for predict... 2019 2026 2021 2023 2019 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pham Viet Hoa Vietnam 16 814 403 383 281 220 29 1.3k
Kourosh Ahmadi Iran 21 795 1.0× 586 1.5× 387 1.0× 295 1.0× 145 0.7× 54 1.7k
Quang‐Thanh Bui Vietnam 23 1.3k 1.5× 524 1.3× 437 1.1× 512 1.8× 258 1.2× 65 2.0k
Tri Dev Acharya South Korea 18 914 1.1× 394 1.0× 338 0.9× 435 1.5× 284 1.3× 53 1.6k
Vahid Moosavi Iran 20 690 0.8× 799 2.0× 477 1.2× 242 0.9× 268 1.2× 61 1.5k
Hossein Mojaddadi Rizeei Australia 17 855 1.1× 557 1.4× 389 1.0× 248 0.9× 138 0.6× 27 1.4k
Chinh Luu Vietnam 17 1.1k 1.3× 351 0.9× 410 1.1× 436 1.6× 285 1.3× 42 1.5k
Noordin Ahmad Malaysia 15 1.1k 1.4× 421 1.0× 533 1.4× 247 0.9× 288 1.3× 37 1.6k
Somayeh Panahi Iran 11 816 1.0× 356 0.9× 405 1.1× 378 1.3× 165 0.8× 16 1.2k
Shuang Zhu China 18 471 0.6× 457 1.1× 366 1.0× 138 0.5× 153 0.7× 52 1.1k
Giha Lee South Korea 17 748 0.9× 594 1.5× 637 1.7× 337 1.2× 376 1.7× 82 1.6k

Countries citing papers authored by Pham Viet Hoa

Since Specialization
Citations

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

Fields of papers citing papers by Pham Viet Hoa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pham Viet Hoa. 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 Pham Viet Hoa. The network helps show where Pham Viet Hoa may publish in the future.

Co-authorship network of co-authors of Pham Viet Hoa

This figure shows the co-authorship network connecting the top 25 collaborators of Pham Viet Hoa. A scholar is included among the top collaborators of Pham Viet Hoa 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 Pham Viet Hoa. Pham Viet Hoa 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
1.
Bình, Nguyễn An, et al.. (2024). Monitoring mangrove traits through optical Earth observation: Towards spatio-temporal scalability using cloud-based Sentinel-2 continuous time series. ISPRS Journal of Photogrammetry and Remote Sensing. 214. 135–152. 10 indexed citations
2.
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Đông, Phạm Văn, et al.. (2023). Hybrid BBO-DE Optimized SPAARCTree Ensemble for Landslide Susceptibility Mapping. Remote Sensing. 15(8). 2187–2187. 4 indexed citations
7.
Bình, Nguyễn An, et al.. (2022). Quantifying mangrove leaf area index from Sentinel-2 imagery using hybrid models and active learning. International Journal of Remote Sensing. 43(15-16). 5636–5657. 26 indexed citations
8.
Mallick, Javed, Nabil Ben Kahla, Saeed Alqadhi, et al.. (2022). GIS-Based Decision Support System for Safe and Sustainable Building Construction Site in a Mountainous Region. Sustainability. 14(2). 888–888. 20 indexed citations
9.
Bình, Nguyễn An, et al.. (2022). Evaluation of Chlorophyll-a estimation using Sentinel 3 based on various algorithms in southern coastal Vietnam. International Journal of Applied Earth Observation and Geoinformation. 112. 102951–102951. 16 indexed citations
10.
Nhu, Viet‐Ha, Nhat‐Duc Hoang, Mahdis Amiri, et al.. (2021). An approach based on socio-politically optimized neural computing network for predicting shallow landslide susceptibility at tropical areas. Environmental Earth Sciences. 80(7). 1 indexed citations
12.
Bình, Nguyễn An, et al.. (2021). Thirty-Year Dynamics of LULC at the Dong Thap Muoi Area, Southern Vietnam, Using Google Earth Engine. ISPRS International Journal of Geo-Information. 10(4). 226–226. 8 indexed citations
13.
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
14.
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
15.
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
16.
Hauser, Leon T., Nguyễn An Bình, Pham Viet Hoa, Hồng Quân Nguyễn, & Joris Timmermans. (2020). Gap-Free Monitoring of Annual Mangrove Forest Dynamics in Ca Mau Province, Vietnamese Mekong Delta, Using the Landsat-7-8 Archives and Post-Classification Temporal Optimization. Remote Sensing. 12(22). 3729–3729. 29 indexed citations
17.
Ngo, Phuong Thao Thi, Tien Dat Pham, Nhat‐Duc Hoang, et al.. (2020). A new hybrid equilibrium optimized SysFor based geospatial data mining for tropical storm-induced flash flood susceptible mapping. Journal of Environmental Management. 280. 111858–111858. 17 indexed citations
18.
Hoang, Nhat‐Duc, Francisco Martínez‐Álvarez, Phuong Thao Thi Ngo, et al.. (2019). A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area. The Science of The Total Environment. 701. 134413–134413. 309 indexed citations breakdown →
19.
20.
Hoa, Pham Viet, et al.. (2013). A System of Sustainability Indicators for the Province of Thai Binh, Vietnam. Social Indicators Research. 116(3). 661–679. 14 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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