| # | Document title | Authors | Year | Source | Cited by |
| 1 | Anomaly detection using a sliding window technique and data imputation with machine learning for hydrological time series | Kulanuwat L., Chantrapornchai C., Maleewong M., Wongchaisuwat P., Wimala S., Sarinnapakorn K., Boonya-Aroonnet S. | 2021 | Water (Switzerland),
13(13), 1862 | 51 |
| 2 | Automated quality inspection of baby corn using image processing and deep learning | Wonggasem K., Chakranon P., Wongchaisuwat P. | 2024 | Artificial Intelligence in Agriculture,
11, pp. 61-69 | 15 |
| 3 | A semi-supervised learning approach to enhance health care community-based question answering: A case study in alcoholism | Wongchaisuwat P., Klabjan D., Jonnalagadda S.R. | 2016 | JMIR Medical Informatics,
4(3), e24 | 14 |
| 4 | A method of music autotagging based on audio and lyrics | Wang H.C., Syu S.W., Wongchaisuwat P. | 2021 | Multimedia Tools and Applications | 12 |
| 5 | Predicting litigation likelihood and time to litigation for patents | Wongchaisuwat P., Klabjan D., McGinnis J. | 2017 | Proceedings of the International Conference on Artificial Intelligence and Law,
pp. 257-260 | 12 |
| 6 | In-person verification of deep learning algorithm for diabetic retinopathy screening using different techniques across fundus image devices | Wongchaisuwat N., Trinavarat A., Rodanant N., Thoongsuwan S., Phasukkijwatana N., Prakhunhungsit S., Preechasuk L., Wongchaisuwat P. | 2021 | Translational Vision Science and Technology,
10(13), 17 | 11 |
| 7 | Application of Deep Learning for Automated Detection of Polypoidal Choroidal Vasculopathy in Spectral Domain Optical Coherence Tomography | Wongchaisuwat P., Thamphithak R., Jitpukdee P., Wongchaisuwat N. | 2022 | Translational Vision Science and Technology,
11(10), 16 | 11 |
| 8 | Article Hydrological Time Series Clustering: A Case Study of Telemetry Stations in Thailand | Prakaisak I., Wongchaisuwat P. | 2022 | Water (Switzerland),
14(13), 2095 | 10 |
| 9 | Machine learning algorithms for predicting air pollutants | Boonphun J., Kaisornsawad C., Wongchaisuwat P. | 2019 | E3S Web of Conferences,
120, 03004 | 9 |
| 10 | Automatic Keyword Extraction Using TextRank | Wongchaisuwat P. | 2019 | 2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019,
pp. 377-381, 8714976 | 8 |
| 11 | Utilizing sequential modeling in collaborative method for flood forecasting | Thaisiam W., Yomwilai K., Wongchaisuwat P. | 2024 | Journal of Hydrology,
636, 131290 | 4 |
| 12 | Semantic similarity measure for Thai language | Wongchaisuwat P. | 2018 | 2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018 - Proceedings,
8692800 | 2 |
| 13 | Enhancing a Multi-Step Discharge Prediction with Deep Learning and a Response Time Parameter | Thaisiam W., Saelo W., Wongchaisuwat P. | 2022 | Water (Switzerland),
14(18), 2898 | 2 |
| 14 | Automated classification of polypoidal choroidal vasculopathy and wet age-related macular degeneration by spectral domain optical coherence tomography using self-supervised learning | Wongchaisuwat N., Thamphithak R., Watunyuta P., Wongchaisuwat P. | 2023 | Procedia Computer Science,
220, pp. 1003-1008 | 2 |
| 15 | Utilization of Machine Learning and Hyperspectral Imaging Technologies for Classifying Coated Maize Seed Vigor: A Case Study on the Assessment of Seed DNA Repair Capability | Wonggasem K., Wongchaisuwat P., Chakranon P., Onwimol D. | 2024 | Agronomy,
14(9), 1991 | 1 |
| 16 | Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques | Wongchaisuwat P., Chakranon P., Yinpin A., Onwimol D., Wonggasem K. | 2025 | Smart Agricultural Technology,
10, 100820 | 1 |
| 17 | Forecasting Burned Areas of Wildfires: A Case Study of Mae Hong Son Province in Thailand | Sawetsuthipan T., Wongchaisuwat P. | 2023 | 2023 4th International Conference on Computers and Artificial Intelligence Technology, CAIT 2023,
pp. 52-56 | 1 |
| 18 | A stochastic game model for infectious disease management decisions in schools | Sawetsuthipan T., Paoprasert N., Wongchaisuwat P. | 2025 | Asia Pacific Management Review,
30(2), 100343 | 0 |
| 19 | Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging | Onwimol D., Chakranon P., Wonggasem K., Wongchaisuwat P. | 2025 | Journal of Agriculture and Food Research,
21, 101836 | 0 |
| 20 | A spatiotemporal deep learning ensemble for multi-step PM2.5 prediction: A case study of Bangkok metropolitan region in Thailand | Kaewbundit V., Churngam C., Wongchaisuwat P. | 2025 | Atmospheric Pollution Research,
16(3), 102406 | 0 |
| 21 | Factors Affecting Crop Choices in Thailand: Rice or Sugarcane? | Jaijit S., Paoprasert N., Wongchaisuwat P., Kittipadakul P. | 2023 | Industrial Engineering and Management Systems,
22(3), pp. 244-258 | 0 |
| 22 | Data envelopment analysis for identifying the most suitable cassava cultivar: a case study of various cultivated areas in Thailand | Paoprasert N., Paisaltanakij W., Kittipadakul P., Wongchaisuwat P. | 2023 | International Journal of Innovation and Learning,
34(4), pp. 368-379 | 0 |
| 23 | Analyzing Hybrid Deep Learning Models with Decomposition Methods: A Case Study of RSS3 Price in Thailand | Kraisornnukhor P., Wongchaisuwat P., Paoprasert N., Mungwattana A. | 2023 | Proceedings of 2023 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2023,
pp. 237-241 | 0 |
| 24 | Multi-Step Rubber Price Prediction Using Deep Learning Models with External Factors | Kraisornnukhor P., Wongchaisuwat P., Paoprasert N., Mungwattana A. | 2023 | IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC),
pp. 1125-1129 | 0 |
| 25 | Truth validation with evidence | Wongchaisuwat P., Klabjan D. | 2022 | Knowledge and Information Systems | 0 |