Chaichoke Vaiphasa

900 total citations
13 papers, 623 citations indexed

About

Chaichoke Vaiphasa is a scholar working on Ecology, Media Technology and Analytical Chemistry. According to data from OpenAlex, Chaichoke Vaiphasa has authored 13 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 4 papers in Media Technology and 4 papers in Analytical Chemistry. Recurrent topics in Chaichoke Vaiphasa's work include Remote Sensing in Agriculture (6 papers), Coastal wetland ecosystem dynamics (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). Chaichoke Vaiphasa is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Coastal wetland ecosystem dynamics (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). Chaichoke Vaiphasa collaborates with scholars based in Thailand, Netherlands and Austria. Chaichoke Vaiphasa's co-authors include Andrew K. Skidmore, Willem F. de Boer, Masahiko Nagai, Marc Souris, Kiyoshi Honda, T.A. Groen, Saleem Ullah, Martin Schlerf, Istiak Sobhan and Markus Immitzer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.

In The Last Decade

Chaichoke Vaiphasa

11 papers receiving 588 citations

Peers

Chaichoke Vaiphasa

ECOLO

MT

AC

PS

GPC

Reginald S. Fletcher United States

Laura Elena Cué La Rosa Brazil

Quanjun Jiao China

Bastian Siegmann Germany

E. Nagel Germany

Akash Anand India

Ma. Luisa Buchaillot Spain

A. A. Gitelson United States

Changwei Tan China

Luís Guilherme Teixeira Crusiol Brazil

Reginald S. Fletcher United States

Chaichoke Vaiphasa

420 ×0.9

ECOLO

75 ×0.5

MT

93 ×0.6

AC

263 ×1.9

PS

154 ×1.6

GPC

Citations per year, relative to Chaichoke Vaiphasa Chaichoke Vaiphasa (= 1×) peers Reginald S. Fletcher

Countries citing papers authored by Chaichoke Vaiphasa

Since Specialization

Citations

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

Fields of papers citing papers by Chaichoke Vaiphasa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaichoke Vaiphasa. 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 Chaichoke Vaiphasa. The network helps show where Chaichoke Vaiphasa may publish in the future.

Co-authorship network of co-authors of Chaichoke Vaiphasa

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

All Works

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13 of 13 papers shown

1.

Immitzer, Markus, et al.. (2025). Spatial and Temporal Patterns of Mangrove Forest Change in the Mekong Region over Four Decades Based on a Remote Sensing Data-Driven Approach. Remote Sensing. 17(22). 3728–3728.

2.

Vaiphasa, Chaichoke, et al.. (2020). Modeling Mangrove Above-Ground Biomass Using Terrestrial Laser Scanning Techniques: A Case Study of the Avicennia marina Species in the Bang Pu District, Thailand. 16(2). 53–62.

3.

Vaiphasa, Chaichoke, et al.. (2013). Discrimination of Tropical Mangroves at the Species Level with EO-1 Hyperion Data. Remote Sensing. 5(7). 3562–3582. 45 indexed citations

4.

Honda, Kiyoshi, et al.. (2012). Estimating Canopy Nitrogen Concentration in Sugarcane Using Field Imaging Spectroscopy. Remote Sensing. 4(6). 1651–1670. 74 indexed citations

5.

Ullah, Saleem, et al.. (2012). Using a Genetic Algorithm as an Optimal Band Selector in the Mid and Thermal Infrared (2.5–14 µm) to Discriminate Vegetation Species. Sensors. 12(7). 8755–8769. 35 indexed citations

6.

Vaiphasa, Chaichoke, et al.. (2011). A Normalized Difference Vegetation Index (NDVI) Time-Series of Idle Agriculture Lands: A Preliminary Study. SHILAP Revista de lepidopterología. 15(1). 9–16. 13 indexed citations

7.

Sobhan, Istiak, Chaichoke Vaiphasa, & Andrew K. Skidmore. (2007). Spectral regions for maximizing species discrimination. Socio-Environmental Systems Modeling. 37–59. 1 indexed citations

8.

Vaiphasa, Chaichoke, et al.. (2007). Impact of solid shrimp pond waste materials on mangrove growth and mortality: a case study from Pak Phanang, Thailand. Hydrobiologia. 591(1). 47–57. 51 indexed citations

9.

Vaiphasa, Chaichoke, et al.. (2007). A hyperspectral band selector for plant species discrimination. ISPRS Journal of Photogrammetry and Remote Sensing. 62(3). 225–235. 110 indexed citations

10.

Vaiphasa, Chaichoke, Andrew K. Skidmore, & Willem F. de Boer. (2006). A post-classifier for mangrove mapping using ecological data. ISPRS Journal of Photogrammetry and Remote Sensing. 61(1). 1–10. 57 indexed citations

11.

Vaiphasa, Chaichoke. (2005). Consideration of smoothing techniques for hyperspectral remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing. 60(2). 91–99. 83 indexed citations

12.

Vaiphasa, Chaichoke, et al.. (2005). Tropical mangrove species discrimination using hyperspectral data: A laboratory study. Estuarine Coastal and Shelf Science. 65(1-2). 371–379. 145 indexed citations

13.

Vaiphasa, Chaichoke, et al.. (2004). Hyperspectral data for tropical mangrove species discrimination. University of Twente Research Information. 22–28. 9 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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