| ลำดับ | รายละเอียดผลงาน | ||
|---|---|---|---|
| 1 | Impact of air pollution on cardiorespiratory morbidities in Southern Thailand SUHAIMEE BUYA : 35% APIRADEE SAE LIM : 35%,RATTIKAN SAELIM : 10%,SALANG MUSIKASUWAN : 10%,THITIWORN CHOOSONG : 10%,NUTTA TANEEPANICHSKUL : 5% (2024). Clinical Epidemiology and Global Health, 25(-), 101501-101501. Quartile: Q2 | ||
| 2 | Spatial and temporal patterns of land surface temperature in
Greenland from 2000-2019 NITINUN PONGSIRI : 35% RHYSA MCNEIL : 35%,RATTIKAN SAELIM : 10%,SOMPORN CHUAI-AREE : 10%,BENJAMIN ATTA OWUSU : 10% (2024). MAUSAM, 75(2), 543-550. Quartile: Q4 | ||
| 3 | Analysis of spatial and temporal patterns of COVID-19 incidence in Thailand NUALNAPA PAEKPAN : 30% APIRADEE SAE LIM : 45%,RATTIKAN SAELIM : 25% (2023). Southeast Asian Journal of Tropical Medicine and Public Health, 54(5), 276-300. Quartile: Q4 | ||
| 4 | An Investigation of the Predicting Model for Daily Temperature in the Capital of Laos RATTIKAN SAELIM : 30% SALANG MUSIKASUWAN : 30%,SANTHANA CHAIMONTREE : 5%,KRIANGSAK DAMCHOOM : 5%,RUSMA KHALENG : 30% (2022). Thai Journal of Mathematics, 2022(Special Is), 135-145. Quartile: Q4 | ||
| 5 | Daily Temperature Predictive Model and Trend Analysis in Yangon, Myanmar Over 25 Years SALANG MUSIKASUWAN : 30% MARINEE UMA : 30%,RATTIKAN SAELIM : 30%,KRIANGSAK DAMCHOOM : 5%,SANTHANA CHAIMONTREE : 5% (2022). Thai Journal of Mathematics, 2022(Special Is), 146-156. Quartile: Q4 | ||
| 6 | Land Surface Temperature Prediction in Chiang Mai Province Thailand Using MODIS LST Data SALANG MUSIKASUWAN : 30% KHODEEYOH KASOH : 40%,RATTIKAN SAELIM : 30% (2022). Thai Journal of Mathematics, 2022(Special Is), 106-116. Quartile: Q4 | ||
| 7 | Land Surface Temperature Variation in Bangkok Metropolitan Area, Thailand, During 2001-2020 RATTIKAN SAELIM : 30% SALANG MUSIKASUWAN : 30%,NASUHA CHETAE : 40% (2022). Thai Journal of Mathematics, 2022(Special Is), 117-126. Quartile: Q4 | ||
| 8 | Seasonal Patterns and Trends of Air Pollution in the Upper Northern Thailand from 2004 to 2018 SARAWUT SUKKHUM : 40% APIRADEE SAELIM : 40%,RATTIKAN SAELIM : 10%,THAMMASIN INGVIYA : 10% (2022). Aerosol and Air Quality Research, 22(5 Article ), 1-14. Quartile: Q2 | ||
| 9 | Land Surface Temperature Changes in Songkhla, Thailand from 2001 to 2018 RATTIKAN SAELIM : 50% SALANG MUSIKASUWAN : 30%,NASUHA CHETAE : 20% (2020). na, 28(3), 39-45. Quartile: Q2 | ||
| 10 | Quadratic Polynomials with Rational Roots and Integer Coefficients in Arithmetic Progression RATTIKAN SAELIM : 50% ANIRUTH PHON-ON : 50% (2019). Thai Journal of Mathematics, 17(2), 293-303. Quartile: Q4 | ||
| 11 | Estimating Liver Cancer Deaths in Thailand based on Verbal Autopsy Study PHATTRAWAN TONGKUMCHUM : 20% RATTIKARN SAELIM : 10%,NIFATAMAH MAKAJE : 10%,CHAMNEIN CHONPRADUB : 10%,SALWA WAETO : 30%,NATTAKIT PIPATJATURON : 20% (2014). na, 14(1), 18-22. | ||
| 12 | Democratic Confidence Intervals for comparing two Proportions PHATTRAWAN TONGKUMCHUM : 50% RATTIKARN SAELIM : 20%,NIFATAMAH MAKAJE : 20%,ANIRUTH PHON-ON : 10% (2013). na, 35(2), 235-241. | ||
| รวม 12 รายการ | |||
Copyright ©2021-2022 by Faculty of Science and Technology
Prince of Songkla University, 181 Rusamilae Meaung Pattani, 94000
Tel: 073-331303 Email: sat-it@psu.ac.th