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Siripen Dabphet, Kraisak Kesorn. (2026). Beyond romance: unveiling the motivational dimensions and data-driven segments of international honeymoon travel behavior, In Press, https://doi.org/10.1108/CBTH-10-2025-0309

Sorawat Prapanitisatian, Kraisak Kesorn, (2026). Rice-growth-stage classification under persistent cloud using optical–synthetic aperture radar fusion and phenology-aware imputation, 30(4), 81. https://doi.org/10.1007/s10596-026-10450-5

S Chanmee, K Kesorn*, (2025). A smarter forest: Enhancing cardiovascular risk prediction using a knowledge-based random forest. Science, Engineering and Health Studies, 25020007-25020007. Doi: https://doi.org/10.69598/sehs.19.25020007

Chanmee, S., Juraphanthong, W., & Kesorn, K.* (2025). Advancing COVID-19 data classification and prediction: A fresh perspective from an ontological machine–learning algorithm. Expert Systems with Applications, 279, 127592. Doi: https://doi.org/10.1016/j.eswa.2025.127592

Juraphanthong, W., & Kesorn, K.* (2025). Autoregressive integrated moving average with semantic information: An efficient technique for intelligent prediction of dengue cases. Engineering Applications of Artificial Intelligence, 143, 109985. Doi: https://doi.org/10.1016/j.engappai.2024.109985

S Chanmee, K Kesorn, S Dabphet.* (2025). Empowering Effective Inter and Intra Resource Management through Social Network-Driven Tourist Movement Analysis. ICIC Express Letters Part B: Applications, 16(4), 351-358. Doi: https://doi.org/10.24507/icicelb.16.04.351

S Chanmee, K Kesorn.* (2024). COVID-19 Cases Classification Using a Semantic Decision Forest Method. ICIC Express Letters Part B: Applications 15 (11), 1175-1182. Doi: https://doi.org/10.24507/icicelb.15.11.1175

Juraphanthong, W., & Kesorn, K. (2024). The Intelligent Approach of Auto-Regressive Integrated Moving Average with eXogenous Semantic (ARIMAXS) Variables for COVID-19 Incidence Prediction. ICIC Express Letters Part B: Applications, 15(2), 207–216. Doi: https://doi.org/10.24507/icicelb.15.02.207S.

Chanmee, K. Kesorn*, (2023). Semantic decision Trees: A new learning system for the ID3-Based algorithm using a knowledge base. Advanced Engineering Informatics 58, 102156. Doi: https://doi.org/10.1016/j.aei.2023.102156 (Scopus, Q1)

Chanmee, S., & Kesorn, K.* (2022). Exploiting a knowledge base for intelligent decision tree construction to enhance classification power. Engineering and Applied Science Research, 49 (4), 545-561. Doi: https://doi.org/ 10.14456/easr.2022.53 (Scopus, Q3)

Juraphanthong, W., and K. Kesorn*. 2021. Time Series Data Enrichment Using Semantic Information for Dengue Incidence Forecasting. Science, Engineering and Health Studies 15:21050013–21050013. Doi: https://doi.org/10.14456/sehs.2021.50 (Scopus, Q4).

Non Sanprasit. Taravichet Titijaroonroj. and Kraisak Kesorn*. (2021). A semantic approach to automated design and construction of star schemas. Engineering and Applied Science Research 2021; 48(5):518-528. Doi: https://doi.org/10.14456/easr.2021.54 (Scopus, Q3)

Sanprasit, N., Jampachaisri, K., Titijaroonroj, T., Kesorn, K.*. (2021). Intelligent Approach to Automated Star-schema Construction using a Knowledge base. Expert Systems with Applications. 18(15). 115226. Doi: https://doi.org/10.1016/j.eswa.2021.115226 (ISI, Scopus Q1)

Chanmee, S., Kesorn, K.*. (2021). Semantic Data Mining in the Information Age: A Systematic Review. International Journal of Intelligent System. 1-37. Doi: https://doi.org/10.1002/int.22443 (ISI, Scopus Q1)

Kamkhad, N., Jampachaisri, K., Siriyasatien, P., Kesorn, K.*. 2020. Toward semantic data imputation for a dengue dataset. Knowledge-Based Systems. 196(2020). Doi: 10.1016/j.knosys.2020.105803 (ISI, Scopus Q1)

Chanmee, S., Kesorn K.*. 2020. Data Quality Enhancement for Decision Tree Algorithm using Knowledge-Based Model. Current Applied Science and Technology. 20(2). 259-277. Doi:10.14456/cast.2020.15 (Scopus Q4)

Massagram W., Prapanitisatian S., Kesorn K.*. (2018). A novel technique for Thai document plagiarism detection using syntactic parse trees. Engineering and Applied Science Research, 45(4), 290-300. (Scopus Q4) (December, 2018)

Siriyasatien P., Chadsuthi S., Jampachaisri K., Kesorn K.*. (2018). Dengue Epidemics Prediction: A Survey of the State-of-the-Art based on Data Science Processes. IEEE Access, 6, 53757 - 53795. https://10.1109/ACCESS.2018.2871241 (ISI, Scopus) (November, 2018)

Kesorn K.*, Juraphanthong W., Salaiwarakul, A. (2017). Personalized Attraction Recommendation System for Tourists through Check-In Data. IEEE Access, 5, 26703–26721. doi:10.1109/ACCESS.2017.2778293 (ISI, Scopus) (October, 2017)

Netsuwan, T., Kesorn, K., Unify framework for crime data summarization using RSS feed service, Walailak Journal of Science and Technology, 2017, 14(10Special Issue), pp. 769–781

Siriyasatien P., Phumee A., Ongruk P., Jampachaisri K., Kesorn K*. (2016). Analysis of Significant Factors for Dengue Fever Incidence Prediction, BMC Bioinformatics, 17(166): doi:10.1186/s12859-016-1034-5. (ISI, Scopus)

Kesorn K.*, Ongruk P., Chompoosri J., Phumee A., Thavara U., Tawatsin A., Siriyasatien P. (2015). Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) using the Support Vector Machine and the Aedes Aegypti Infection Rate in Similar Climates and Geographical Areas. PLoS ONE 10(5): e0125049. doi:10.1371/journal.pone.0125049 (ISI , Scopus)

Stefan Poslad and Kraisak Kesorn, (2014), A Multi-Modal Incompleteness Ontology Model (MMIO) to Enhance Information Fusion for Image Retrieval Information Fusion Vol. 40, pp. 225-241. (Indexed by ISI, IF=2.26)

Kesorn K.,S., Poslad (2012),, An Enhanced Bag of Visual Word Vector Space Model to Represent Visual Content in Athletics Images, IEEE Transactions on Multimedia, 14(1), 1520-1531. (Impact Factor 2010=1.964)

Kesorn K.,Chimlek, S., Poslad, S., & Piamsa-nga, P. (2011),, Visual Content Representation using Semantically Similar Visual Words. Expert Systems with Applications, 38(9), 11472-11481. (ISI, Impact Factor 2011=2.234)

Kesorn K., Poslad, S. “Enhanced Sports Image Annotation and Retrieval Based upon Semantic Analysis of Multimodal Cues”, In IEEE/ACM SIG Multimedia Proceedings of the 3rd Pacific-Rim Symposium on Image and Video Technology (PSIVT2009), Tokyo, Japan, 14-16 January, 2009.

Kesorn K., Poslad, S., Semantic Restructuring of Natural Language Image Captions to Enhance Image Retrieval, Journal of Multimedia (JMM), Vol.4, Issue 5, October 2009, pp.284-297.