Lien T.H. Pham

488 total citations
10 papers, 379 citations indexed

About

Lien T.H. Pham is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Lien T.H. Pham has authored 10 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, 5 papers in Global and Planetary Change and 4 papers in Environmental Engineering. Recurrent topics in Lien T.H. Pham's work include Remote Sensing in Agriculture (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Coastal wetland ecosystem dynamics (3 papers). Lien T.H. Pham is often cited by papers focused on Remote Sensing in Agriculture (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Coastal wetland ecosystem dynamics (3 papers). Lien T.H. Pham collaborates with scholars based in Vietnam, New Zealand and Singapore. Lien T.H. Pham's co-authors include Lars Brabyn, Thanh Duc Dang, Uyen Nguyen, Edward P. Glenn, Salman Ashraf, Tuan Quoc Vo, Nguyen Ky Phung, Dung Duc Tran, Đào Nguyên Khôi and Henry Gouk and has published in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Environmental Monitoring and Assessment and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Lien T.H. Pham

8 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lien T.H. Pham Vietnam 7 261 179 148 55 48 10 379
Thuong V. Tran Vietnam 9 186 0.7× 187 1.0× 113 0.8× 57 1.0× 34 0.7× 16 354
Nga Nhu Le Japan 10 451 1.7× 212 1.2× 226 1.5× 64 1.2× 16 0.3× 10 612
Armando Barreto‐Muñoz United States 10 215 0.8× 213 1.2× 60 0.4× 39 0.7× 85 1.8× 19 336
Adia Bey Belgium 6 276 1.1× 236 1.3× 85 0.6× 48 0.9× 8 0.2× 8 419
Ruikun Gou China 10 321 1.2× 169 0.9× 40 0.3× 45 0.8× 14 0.3× 18 446
Leon T. Hauser Netherlands 10 245 0.9× 157 0.9× 67 0.5× 43 0.8× 17 0.4× 17 370
Frankie Kwan Kit Wong Hong Kong 8 195 0.7× 78 0.4× 134 0.9× 43 0.8× 24 0.5× 16 304
Bina Thapa United States 8 191 0.7× 243 1.4× 69 0.5× 59 1.1× 49 1.0× 14 389
Sudip Manna India 12 261 1.0× 98 0.5× 53 0.4× 32 0.6× 15 0.3× 16 349
Hannah M. Cooper United States 9 204 0.8× 174 1.0× 127 0.9× 101 1.8× 18 0.4× 12 406

Countries citing papers authored by Lien T.H. Pham

Since Specialization
Citations

This map shows the geographic impact of Lien T.H. 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 Lien T.H. Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lien T.H. Pham more than expected).

Fields of papers citing papers by Lien T.H. Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lien T.H. 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 Lien T.H. Pham. The network helps show where Lien T.H. Pham may publish in the future.

Co-authorship network of co-authors of Lien T.H. Pham

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

All Works

10 of 10 papers shown
1.
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Khôi, Đào Nguyên, et al.. (2020). Morphological change assessment from intertidal to river-dominated zones using multiple-satellite imagery: A case study of the Vietnamese Mekong Delta. Regional Studies in Marine Science. 34. 101087–101087. 23 indexed citations
3.
Nguyen, Uyen, Lien T.H. Pham, & Thanh Duc Dang. (2019). An automatic water detection approach using Landsat 8 OLI and Google Earth Engine cloud computing to map lakes and reservoirs in New Zealand. Environmental Monitoring and Assessment. 191(4). 235–235. 75 indexed citations
4.
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6.
Pham, Lien T.H., Lars Brabyn, Thanh Duc Dang, & Henry Gouk. (2019). Comparison of combination of dimensionality reduction and classification techniques for identifying tree species using integrated QuickBird imagery and Lidar data. Journal of Applied Remote Sensing. 13(1). 1–1. 3 indexed citations
7.
Pham, Lien T.H., et al.. (2018). Monitoring mangrove association changes in the Can Gio biosphere reserve and implications for management. Remote Sensing Applications Society and Environment. 13. 298–305. 26 indexed citations
8.
Nguyen, Uyen, Edward P. Glenn, Thanh Duc Dang, & Lien T.H. Pham. (2018). Mapping vegetation types in semi-arid riparian regions using random forest and object-based image approach: A case study of the Colorado River Ecosystem, Grand Canyon, Arizona. Ecological Informatics. 50. 43–50. 47 indexed citations
9.
Pham, Lien T.H. & Lars Brabyn. (2017). Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms. ISPRS Journal of Photogrammetry and Remote Sensing. 128. 86–97. 153 indexed citations
10.
Pham, Lien T.H., Lars Brabyn, & Salman Ashraf. (2016). Combining QuickBird, LiDAR, and GIS topography indices to identify a single native tree species in a complex landscape using an object-based classification approach. International Journal of Applied Earth Observation and Geoinformation. 50. 187–197. 36 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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2026