Tien Dat Pham

4.1k total citations · 3 hit papers
76 papers, 3.2k citations indexed

About

Tien Dat Pham is a scholar working on Ecology, Global and Planetary Change and Civil and Structural Engineering. According to data from OpenAlex, Tien Dat Pham has authored 76 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Ecology, 20 papers in Global and Planetary Change and 17 papers in Civil and Structural Engineering. Recurrent topics in Tien Dat Pham's work include Coastal wetland ecosystem dynamics (24 papers), Flood Risk Assessment and Management (10 papers) and Remote Sensing in Agriculture (8 papers). Tien Dat Pham is often cited by papers focused on Coastal wetland ecosystem dynamics (24 papers), Flood Risk Assessment and Management (10 papers) and Remote Sensing in Agriculture (8 papers). Tien Dat Pham collaborates with scholars based in Vietnam, Japan and Norway. Tien Dat Pham's co-authors include Dieu Tien Bui, Kunihiko Yoshino, Phuong Thao Thi Ngo, Pham Viet Hoa, Nam Thang Ha, Naoto Yokoya, Nga Nhu Le, Pijush Samui, Junshi Xia and Nhat‐Duc Hoang and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Science Advances.

In The Last Decade

Tien Dat Pham

73 papers receiving 3.1k citations

Hit Papers

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

  1. A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area
    2019 309 citations Nhat‐Duc Hoang, Francisco Martínez‐Álvarez et al. The Science of The Total Environment profile →
  2. A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping
    2019 250 citations Dieu Tien Bui, Phuong Thao Thi Ngo et al. profile →
  3. Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges
    2019 235 citations Tien Dat Pham, Naoto Yokoya et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tien Dat Pham Vietnam 29 1.5k 1.3k 1.1k 571 397 76 3.2k
Leo Lymburner Australia 23 1.4k 1.0× 1.8k 1.3× 874 0.8× 414 0.7× 163 0.4× 56 3.1k
Meisam Amani Iran 32 2.1k 1.4× 1.9k 1.4× 1.4k 1.2× 421 0.7× 251 0.6× 98 4.1k
Kasper Johansen Australia 37 1.6k 1.1× 2.4k 1.8× 1.5k 1.3× 261 0.5× 171 0.4× 104 3.9k
Nicholas Clinton United States 37 3.1k 2.1× 2.7k 2.0× 1.7k 1.5× 364 0.6× 356 0.9× 64 5.5k
Helmi Zulhaidi Mohd Shafri Malaysia 38 1.5k 1.0× 1.7k 1.3× 1.6k 1.4× 324 0.6× 523 1.3× 237 4.9k
Kass Green United States 8 2.2k 1.5× 2.6k 2.0× 1.3k 1.2× 268 0.5× 439 1.1× 11 4.6k
Chong Huang China 30 1.3k 0.8× 1.5k 1.1× 777 0.7× 300 0.5× 305 0.8× 152 3.0k
Hongxing Liu United States 36 1.4k 0.9× 1.0k 0.8× 1.3k 1.2× 381 0.7× 282 0.7× 105 3.9k
Sahel Mahdavi Canada 25 1.5k 1.0× 1.4k 1.0× 934 0.8× 286 0.5× 161 0.4× 49 2.8k
Guofeng Wu China 38 1.1k 0.8× 1.4k 1.1× 1.4k 1.2× 624 1.1× 222 0.6× 142 4.3k

Countries citing papers authored by Tien Dat Pham

Since Specialization
Citations

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

Fields of papers citing papers by Tien Dat Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tien Dat Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Tien Dat Pham. A scholar is included among the top collaborators of Tien Dat Pham 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 Tien Dat Pham. Tien Dat Pham 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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Pham, Tien Dat, et al.. (2025). Mapping Vegetation Changes in Mongolian Grasslands (1990–2024) Using Landsat Data and Advanced Machine Learning Algorithm. Remote Sensing. 17(3). 400–400. 1 indexed citations
4.
Pham, Hung, et al.. (2024). Risk assessments of microplastic exposure in bivalves living in the coral reefs of Vietnam. Marine Pollution Bulletin. 209(Pt A). 117111–117111. 9 indexed citations
5.
Ha, Nam Thang, Nguyen Hao Quang, Tien Dat Pham, Hoàng Công Tín, & Ian Hawes. (2023). Superpixel for seagrass mapping: a novel method using PlanetScope imagery and machine learning in Tauranga harbour, New Zealand. Environmental Earth Sciences. 82(6). 5 indexed citations
6.
Saintilan, Neil, Leo Lymburner, Li Wen, et al.. (2022). The lunar nodal cycle controls mangrove canopy cover on the Australian continent. Science Advances. 8(37). eabo6602–eabo6602. 15 indexed citations
7.
Le, Nga Nhu, et al.. (2021). Learning from multimodal and multisensor earth observation dataset for improving estimates of mangrove soil organic carbon in Vietnam. International Journal of Remote Sensing. 42(18). 6866–6890. 18 indexed citations
8.
Nguyễn, Thu Thủy, Tien Dat Pham, Robert B. Archibald, et al.. (2021). A novel intelligence approach based active and ensemble learning for agricultural soil organic carbon prediction using multispectral and SAR data fusion. The Science of The Total Environment. 804. 150187–150187. 101 indexed citations
9.
Saintilan, Neil, Emma Asbridge, Richard Lucas, et al.. (2021). Australian forested wetlands under climate change: collapse or proliferation?. Marine and Freshwater Research. 73(10). 1255–1262. 9 indexed citations
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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
12.
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
13.
Pham, Tien Dat, Naoto Yokoya, Junshi Xia, et al.. (2020). Comparison of Machine Learning Methods for Estimating Mangrove Above-Ground Biomass Using Multiple Source Remote Sensing Data in the Red River Delta Biosphere Reserve, Vietnam. Remote Sensing. 12(8). 1334–1334. 114 indexed citations
14.
Yariyan, Peyman, Mahdis Amiri, Dang An Tran, et al.. (2020). A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data. Remote Sensing. 12(9). 1373–1373. 40 indexed citations
15.
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
16.
Pham, Tien Dat, Naoto Yokoya, Dieu Tien Bui, Kunihiko Yoshino, & Daniel A. Friess. (2019). Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges. Remote Sensing. 11(3). 230–230. 235 indexed citations breakdown →
17.
Bui, Dieu Tien, Paraskevas Tsangaratos, Phuong Thao Thi Ngo, Tien Dat Pham, & Binh Thai Pham. (2019). Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods. The Science of The Total Environment. 668. 1038–1054. 222 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.
Pham, Tien Dat, Kunihiko Yoshino, & Dieu Tien Bui. (2016). Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks. GIScience & Remote Sensing. 54(3). 329–353. 67 indexed citations
20.
Minh, Hoa Le, Zabih Ghassemlooy, Andrew Burton, et al.. (2015). Self-correcting MIMO visible light communications system using localization. 1362–1367. 7 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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