| The Michigan benchmark: towards XML query performance diagnostics K Runapongsa, JM Patel, HV Jagadish, Y Chen, S Al-Khalifa Information Systems 31 (2), 73-97, 2006 | 104 | 2006 |
| Storing and querying XML data in object-relational DBMSs K Runapongsa, JM Patel International Conference on Extending Database Technology, 266-285, 2002 | 74 | 2002 |
| A progressive view materialization algorithm H Uchiyama, K Runapongsa, TJ Teorey Proceedings of the 2nd ACM international workshop on Data warehousing and …, 1999 | 68 | 1999 |
| A review and comparison of rule languages and rule-based inference engines for the Semantic Web T Rattanasawad, KR Saikaew, M Buranarach, T Supnithi 2013 International Computer Science and Engineering Conference (ICSEC), 1-6, 2013 | 64 | 2013 |
| Automated thai-faq chatbot using rnn-lstm P Muangkammuen, N Intiruk, KR Saikaew 2018 22nd International Computer Science and Engineering Conference (ICSEC), 1-4, 2018 | 63 | 2018 |
| Using Facebook as a supplementary tool for teaching and learning K Saikaew, W Krutkam, R Pattaramanon, N Leelathakul, K Chaipah, ... Proceedings of international Conference on eLearning Futures 30, 2011 | 31 | 2011 |
| The Michigan Benchmark: A microbenchmark for XML query processing systems K Runapongsa, JM Patel, HV Jagadish, S Al-Khalifa EEXTT, 160-161, 2002 | 31 | 2002 |
| End-to-end automatic berry counting for table grape thinning P Buayai, KR Saikaew, X Mao IEEE Access 9, 4829-4842, 2020 | 29 | 2020 |
| XIST: An XML index selection tool K Runapongsa, JM Patel, R Bordawekar, S Padmanabhan Database and XML Technologies: Second International XML Database Symposium …, 2004 | 25 | 2004 |
| A comparative study of rule-based inference engines for the semantic web T Rattanasawad, M Buranarach, KR Saikaew, T Supnithi IEICE TRANSACTIONS on Information and Systems 101 (1), 82-89, 2018 | 22 | 2018 |
| The michigan benchmark K Runapongsa, JM Patel, HV Jagadish, S Al-Khalifa Michigan University http://dbgroup. eecs. umich. edu/mbench/description …, 2002 | 22 | 2002 |
| Features for measuring credibility on facebook information KR Saikaew, C Noyunsan International Scholarly and Scientific Research & Innovation 9 (1), 174-177, 2015 | 21 | 2015 |
| Semi-automatic pig weight estimation using digital image analysis P Buayai, K Piewthongngam, CK Leung, KR Saikaew Applied engineering in agriculture 35 (4), 521-534, 2019 | 19 | 2019 |
| Prediction of waiting time in one stop service Y Sanit-in, KR Saikaew International Journal of Machine Learning and Computing 9 (3), 322-327, 2019 | 18 | 2019 |
| Storage estimation for multidimensional aggregates in OLAP K Runapongsa, TP Nadeau, TJ Teorey Proceedings of the 1999 conference of the Centre for Advanced Studies on …, 1999 | 16 | 1999 |
| Performance evaluation of supervised learning algorithms with various training data sizes and missing attributes C Noyunsan, T Katanyukul, K Saikaew Engineering and Applied Science Research 45 (3), 221-229, 2018 | 13 | 2018 |
| Adaptive multiple imputations of missing values using the class center K Phiwhorm, C Saikaew, CK Leung, P Polpinit, KR Saikaew Journal of Big Data 9 (1), 52, 2022 | 12 | 2022 |
| Spam detection for closed Facebook groups N Watcharenwong, K Saikaew 2017 14th International Joint Conference on Computer Science and Software …, 2017 | 12 | 2017 |
| Personal verification system using ID card and face photo A Chinapas, P Polpinit, N Intiruk, KR Saikaew International Journal of Machine Learning and Computing 9 (4), 407-412, 2019 | 11 | 2019 |
| Twitter influential users ranking using Twitter user characteristics KR Saikaew, W Krutkam KKU Engineering Journal 41 (4), 547-554, 2014 | 11* | 2014 |
