Thanh Noi Phan

2.5k total citations · 2 hit papers
17 papers, 1.9k citations indexed

About

Thanh Noi Phan is a scholar working on Atmospheric Science, Environmental Engineering and Ecology. According to data from OpenAlex, Thanh Noi Phan has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 8 papers in Environmental Engineering and 7 papers in Ecology. Recurrent topics in Thanh Noi Phan's work include Urban Heat Island Mitigation (8 papers), Remote Sensing and Land Use (7 papers) and Remote Sensing in Agriculture (6 papers). Thanh Noi Phan is often cited by papers focused on Urban Heat Island Mitigation (8 papers), Remote Sensing and Land Use (7 papers) and Remote Sensing in Agriculture (6 papers). Thanh Noi Phan collaborates with scholars based in Germany, Vietnam and Thailand. Thanh Noi Phan's co-authors include Martin Kappas, Lukas Lehnert, Jan Degener, Cần Trọng Nguyễn, Nguyễn Thị Hồng Điệp, Phan Kieu Diem, Jörg Bendix, Dieu Tien Bui, Mahmoud Bayat and Ammar Rafiei Emam and has published in prestigious journals such as Sensors, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Thanh Noi Phan

17 papers receiving 1.8k citations

Hit Papers

Comparison of Random Forest, k-Nearest Neighbor, and Supp... 2017 2026 2020 2023 2017 2020 250 500 750

Peers

Thanh Noi Phan
Thanh Noi Phan
Citations per year, relative to Thanh Noi Phan Thanh Noi Phan (= 1×) peers Jianhua Gong

Countries citing papers authored by Thanh Noi Phan

Since Specialization
Citations

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

Fields of papers citing papers by Thanh Noi Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thanh Noi Phan. 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 Thanh Noi Phan. The network helps show where Thanh Noi Phan may publish in the future.

Co-authorship network of co-authors of Thanh Noi Phan

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

All Works

17 of 17 papers shown
1.
Nguyễn, Cần Trọng, et al.. (2025). Leveraging convolutional neural networks and textural features for tropical fruit tree species classification. Remote Sensing Applications Society and Environment. 39. 101633–101633. 1 indexed citations
2.
Phan, Thanh Noi, et al.. (2024). Above‐ground biomass retrieval with multi‐source data: Prediction and applicability analysis in Eastern Mongolia. Land Degradation and Development. 35(9). 2982–2992. 5 indexed citations
3.
Diem, Phan Kieu, et al.. (2023). Remote sensing for urban heat island research: Progress, current issues, and perspectives. Remote Sensing Applications Society and Environment. 33. 101081–101081. 44 indexed citations
4.
Nguyễn, Cần Trọng, et al.. (2023). A regional assessment of ecological environment quality in Thailand special economic zone: Spatial heterogeneous influences and future prediction. Land Degradation and Development. 34(18). 5770–5787. 13 indexed citations
5.
6.
Phan, Thanh Noi, et al.. (2022). A simple, fast, and accurate method for land cover mapping in Mongolia. Geocarto International. 37(26). 14432–14450. 4 indexed citations
8.
Phan, Thanh Noi, et al.. (2020). Land Cover Classification using Google Earth Engine and Random Forest Classifier—The Role of Image Composition. Remote Sensing. 12(15). 2411–2411. 406 indexed citations breakdown →
10.
Phan, Thanh Noi, et al.. (2019). Evaluation of MODIS land surface temperature products for daily air surface temperature estimation in northwest Vietnam. International Journal of Remote Sensing. 40(14). 5544–5562. 22 indexed citations
11.
Phan, Thanh Noi & Martin Kappas. (2018). Application of MODIS land surface temperature data: a systematic literature review and analysis. Journal of Applied Remote Sensing. 12(4). 1–1. 54 indexed citations
12.
Phan, Thanh Noi, et al.. (2018). Land Surface Temperature Variation Due to Changes in Elevation in Northwest Vietnam. Climate. 6(2). 28–28. 50 indexed citations
13.
Phan, Thanh Noi, Martin Kappas, & Jan Degener. (2017). Different combination of MODIS land surface temperature data for daily air surface temperature estimation in North West Vietnam. EGUGA. 5213. 2 indexed citations
14.
Phan, Thanh Noi, Martin Kappas, & Jan Degener. (2017). Land Cover Classification Using Sentinel-2 Image Data and Random Forest Algorithm. 4(9). 1 indexed citations
16.
Phan, Thanh Noi & Martin Kappas. (2017). Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery. Sensors. 18(1). 18–18. 993 indexed citations breakdown →
17.
Phan, Thanh Noi, Martin Kappas, & Jan Degener. (2016). Estimating Daily Maximum and Minimum Land Air Surface Temperature Using MODIS Land Surface Temperature Data and Ground Truth Data in Northern Vietnam. Remote Sensing. 8(12). 1002–1002. 57 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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