Phuong D. Dao

1.8k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Phuong D. Dao is a scholar working on Ecology, Media Technology and Plant Science. According to data from OpenAlex, Phuong D. Dao has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 7 papers in Media Technology and 6 papers in Plant Science. Recurrent topics in Phuong D. Dao's work include Remote Sensing in Agriculture (13 papers), Remote-Sensing Image Classification (7 papers) and Species Distribution and Climate Change (4 papers). Phuong D. Dao is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Remote-Sensing Image Classification (7 papers) and Species Distribution and Climate Change (4 papers). Phuong D. Dao collaborates with scholars based in Canada, United States and Germany. Phuong D. Dao's co-authors include Yuhong He, Bing Lu, Jiangui Liu, Jiali Shang, Yuei‐An Liou, Chung-Pai Chang, Faisal Z. Qureshi, Hannes Feilhauer, Lei Xie and Phong V. V. Le and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Ecology.

In The Last Decade

Phuong D. Dao

16 papers receiving 1.2k 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.

Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

2020 754 citations Bing Lu, Phuong D. Dao et al. Remote Sensing profile →

Peers

Countries citing papers authored by Phuong D. Dao

Since Specialization

Citations

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

Fields of papers citing papers by Phuong D. Dao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phuong D. Dao. 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 Phuong D. Dao. The network helps show where Phuong D. Dao may publish in the future.

Co-authorship network of co-authors of Phuong D. Dao

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Machine learning for automated electrical penetration graph analysis of aphid feeding behavior: Accelerating research on insect-plant interactions 2025 ·PLoS ONE ·(unknown), (unknown), (unknown), Vamsi J. Nalam, Phuong D. Dao	0
2	High spatial resolution crop type and land use land cover classification without labels: A framework using multi-temporal PlanetScope images and variational Bayesian Gaussian mixture model 2025 ·Science of Remote Sensing ·(unknown), Khuong H. Tran, Phuong D. Dao, Hesham El‐Askary, (unknown), Taejin Park	0
3	Imaging spectroscopy reveals topographic variability effects on grassland functional traits and drought responses 2025 ·Ecology ·Phuong D. Dao, Yuhong He, Bing Lu, (unknown)	1
4	Plant trait retrieval from hyperspectral data: Collective efforts in scientific data curation outperform simulated data derived from the PROSAIL model 2024 ·SHILAP Revista de lepidopterología ·(unknown), Hannes Feilhauer, (unknown), Katja Berger, Tobias Hank, Kyle R. Kovach, Phuong D. Dao, (unknown), Philip A. Townsend, Teja Kattenborn	3
5	From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data 2023 ·Remote Sensing of Environment ·(unknown), Hannes Feilhauer, Katja Berger, Phuong D. Dao, Michael Ewald, Tobias Hank, Yuhong He, Kyle R. Kovach, (unknown), Philip A. Townsend, Teja Kattenborn	33
6	The effects of spectral dimensionality reduction on hyperspectral pixel classification: A case study 2022 ·PLoS ONE ·(unknown), Phuong D. Dao, Yuhong He, Faisal Z. Qureshi	13
7	Recent land deformation detected by Sentinel-1A InSAR data (2016–2020) over Hanoi, Vietnam, and the relationship with groundwater level change 2021 ·GIScience & Remote Sensing ·(unknown), Phong V. V. Le, Phuong D. Dao, Nguyễn Quốc Long, (unknown), (unknown), Lei Xie	39
8	Plant drought impact detection using ultra-high spatial resolution hyperspectral images and machine learning 2021 ·International Journal of Applied Earth Observation and Geoinformation ·Phuong D. Dao, Yuhong He, (unknown)	62
9	Mapping native and invasive grassland species and characterizing topography-driven species dynamics using high spatial resolution hyperspectral imagery 2021 ·International Journal of Applied Earth Observation and Geoinformation ·Phuong D. Dao, (unknown), Yuhong He	24
10	Close-range, heavy-duty hyperspectral imaging for tracking drought impacts using the PROCOSINE model 2021 ·Journal of Quantitative Spectroscopy and Radiative Transfer ·(unknown), Phuong D. Dao, Yuhong He	9
11	Improving hyperspectral image segmentation by applying inverse noise weighting and outlier removal for optimal scale selection 2020 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Phuong D. Dao, (unknown), Yuhong He, Faisal Z. Qureshi	29
12	Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture breakdown → 2020 ·Remote Sensing ·Bing Lu, Phuong D. Dao, Jiangui Liu, Yuhong He, Jiali Shang	754
13	Comparing the Performance of Multispectral and Hyperspectral Images for Estimating Vegetation Properties 2019 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Bing Lu, Yuhong He, Phuong D. Dao	64
14	Ensemble Identification of Spectral Bands Related to Soil Organic Carbon Levels over an Agricultural Field in Southern Ontario, Canada 2019 ·Remote Sensing ·Ahmed Laamrani, Aaron Berg, Paul Voroney, Hannes Feilhauer, (unknown), (unknown), Phuong D. Dao, Yuhong He, Ralph C. Martin	42
15	Maximizing the quantitative utility of airborne hyperspectral imagery for studying plant physiology: An optimal sensor exposure setting procedure and empirical line method for atmospheric correction 2019 ·International Journal of Applied Earth Observation and Geoinformation ·Phuong D. Dao, Yuhong He, Bing Lu	17
16	Landsat-MODIS image fusion and object-based image analysis for observing flood inundation in a heterogeneous vegetated scene 2019 ·GIScience & Remote Sensing ·Phuong D. Dao, (unknown), (unknown)	26
17	Geothermal Anomaly Mapping Using Landsat ETM+ Data in Ilan Plain, Northeastern Taiwan 2017 ·Pure and Applied Geophysics ·(unknown), Chung-Pai Chang, Phuong D. Dao	48
18	Object-Based Flood Mapping and Affected Rice Field Estimation with Landsat 8 OLI and MODIS Data 2015 ·Remote Sensing ·Phuong D. Dao, Yuei‐An Liou	80

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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