Jetsada Posom

1.0k total citations
75 papers, 744 citations indexed

About

Jetsada Posom is a scholar working on Analytical Chemistry, Plant Science and Ecology. According to data from OpenAlex, Jetsada Posom has authored 75 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Analytical Chemistry, 38 papers in Plant Science and 13 papers in Ecology. Recurrent topics in Jetsada Posom's work include Spectroscopy and Chemometric Analyses (44 papers), Spectroscopy Techniques in Biomedical and Chemical Research (12 papers) and Sugarcane Cultivation and Processing (12 papers). Jetsada Posom is often cited by papers focused on Spectroscopy and Chemometric Analyses (44 papers), Spectroscopy Techniques in Biomedical and Chemical Research (12 papers) and Sugarcane Cultivation and Processing (12 papers). Jetsada Posom collaborates with scholars based in Thailand, Japan and United States. Jetsada Posom's co-authors include Panmanas Sirisomboon, Khwantri Saengprachatanarug, Eizo Taira, Axel Funke, Pornnapa Kasemsiri, Artjima Ounkaew, Salim Hızıroǧlu, Prinya Chindaprasirt, Bim Prasad Shrestha and Anupun Terdwongworakul and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Energy.

In The Last Decade

Jetsada Posom

70 papers receiving 734 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jetsada Posom Thailand 18 440 299 195 137 105 75 744
Khwantri Saengprachatanarug Thailand 15 272 0.6× 248 0.8× 86 0.4× 69 0.5× 76 0.7× 54 542
Eizo Taira Japan 14 240 0.5× 227 0.8× 50 0.3× 59 0.4× 65 0.6× 45 435
Panmanas Sirisomboon Thailand 22 842 1.9× 671 2.2× 400 2.1× 219 1.6× 67 0.6× 103 1.6k
Juan García‐Olmo Spain 20 432 1.0× 169 0.6× 260 1.3× 81 0.6× 34 0.3× 36 1.0k
Te Ma Japan 17 552 1.3× 276 0.9× 181 0.9× 150 1.1× 67 0.6× 61 925
Silvia Arazuri Garín Spain 17 518 1.2× 430 1.4× 174 0.9× 135 1.0× 55 0.5× 54 963
Jinming Liu China 18 402 0.9× 81 0.3× 180 0.9× 203 1.5× 27 0.3× 43 654
Ze’ev Schmilovitch Israel 14 454 1.0× 332 1.1× 155 0.8× 86 0.6× 58 0.6× 26 698
Guantao Xuan China 17 494 1.1× 343 1.1× 170 0.9× 85 0.6× 92 0.9× 36 765
Carmen Jarén Spain 19 531 1.2× 557 1.9× 177 0.9× 130 0.9× 53 0.5× 60 1.2k

Countries citing papers authored by Jetsada Posom

Since Specialization
Citations

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

Fields of papers citing papers by Jetsada Posom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jetsada Posom

This figure shows the co-authorship network connecting the top 25 collaborators of Jetsada Posom. A scholar is included among the top collaborators of Jetsada Posom 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 Jetsada Posom. Jetsada Posom 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
1.
Posom, Jetsada, et al.. (2025). Deep neural networks (DNNs) chemical compositions estimation of fresh durian in-line via near infrared spectroscopy. Journal of Food Composition and Analysis. 142. 107410–107410. 1 indexed citations
2.
Saengprachatanarug, Khwantri, et al.. (2025). Comparison of sample preparation methods for higher heating values in various sugarcane varieties using near-infrared spectroscopy. Smart Agricultural Technology. 11. 101053–101053. 1 indexed citations
3.
Posom, Jetsada, et al.. (2025). Utilizing E-nose for detection of mealybug infestation and ripeness of durian. PeerJ. 13. e19936–e19936.
4.
Posom, Jetsada, et al.. (2025). Forecasting gaps in sugarcane fields containing weeds using low-resolution UAV imagery based on a machine-learning approach. Smart Agricultural Technology. 10. 100780–100780. 1 indexed citations
5.
Posom, Jetsada, et al.. (2025). Predicting biomass global warming potential with FT-NIR spectroscopy. Scientific Reports. 15(1). 33725–33725.
6.
Posom, Jetsada, et al.. (2024). Time-efficient low-resolution RGB aerial imaging for precision mapping of weed types in site-specific herbicide application. Crop Protection. 184. 106805–106805. 7 indexed citations
7.
Sitorus, Agustami, et al.. (2024). Classification of the Crosslink Density Level of Para Rubber Thick Film of Medical Glove by Using Near-Infrared Spectral Data. Polymers. 16(2). 184–184. 3 indexed citations
8.
Posom, Jetsada, et al.. (2024). Design, development, and testing of a cassava storage root-cutting robot utilizing a Stewart platform and mask R-CNN for precision agriculture. SHILAP Revista de lepidopterología. 9. 100687–100687. 2 indexed citations
9.
Posom, Jetsada, et al.. (2024). Optimization of a tensile strength prediction model for compacted ribbons using NIR-HIS analysis. Heliyon. 10(21). e39838–e39838. 1 indexed citations
10.
11.
Saengprachatanarug, Khwantri, et al.. (2023). Effective measurement of starch and dry matter content in fresh cassava tubers using interactance Vis/NIR spectra. Journal of Food Composition and Analysis. 125. 105783–105783. 7 indexed citations
12.
13.
Saengprachatanarug, Khwantri, et al.. (2023). Cassava stalk detection for a cassava harvesting robot based on YOLO v4 and Mask R-CNN. Journal of Agricultural Engineering. 54(2). 1 indexed citations
14.
Posom, Jetsada, et al.. (2023). Application of thermal imaging combined with machine learning for detecting the deterioration of the cassava root. Heliyon. 9(10). e20559–e20559. 3 indexed citations
15.
Saengprachatanarug, Khwantri, et al.. (2022). Optimal models under multiple resource types for Brix content prediction in sugarcane fields using machine learning. Remote Sensing Applications Society and Environment. 26. 100718–100718. 10 indexed citations
16.
Saengprachatanarug, Khwantri, et al.. (2022). Prediction and Classification of Energy Content in Growing Cane Stalks for Breeding Programmes Using Visible and Shortwave Near Infrared. Sugar Tech. 24(5). 1497–1509. 7 indexed citations
17.
Saengprachatanarug, Khwantri, et al.. (2021). Modified specific gravity method for estimation of starch content and dry matter in cassava. Heliyon. 7(7). e07450–e07450. 17 indexed citations
18.
19.
Saengprachatanarug, Khwantri, et al.. (2020). Sugar Yield Parameters and Fiber Prediction in Sugarcane Fields Using a Multispectral Camera Mounted on a Small Unmanned Aerial System (UAS). Sugar Tech. 22(4). 605–621. 24 indexed citations
20.
Saengprachatanarug, Khwantri, et al.. (2019). Prediction of the fibre content of sugarcane stalk by direct scanning using visible-shortwave near infrared spectroscopy. Vibrational Spectroscopy. 101. 71–80. 26 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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