| Forecasting S&P 500 stock index futures with a hybrid AI system R Tsaih, Y Hsu, CC Lai Decision support systems 23 (2), 161-174, 1998 | 358 | 1998 |
| Artificial intelligence in smart tourism: A conceptual framework RH Tsaih, CC Hsu | 133 | 2018 |
| Topological pattern discovery and feature extraction for fraudulent financial reporting SY Huang, RH Tsaih, F Yu Expert systems with applications 41 (9), 4360-4372, 2014 | 100 | 2014 |
| Credit scoring system for small business loans R Tsaih, YJ Liu, W Liu, YL Lien Decision Support Systems 38 (1), 91-99, 2004 | 85 | 2004 |
| The evolving role of IT departments in digital transformation CC Hsu, RH Tsaih, DC Yen Sustainability 10 (10), 3706, 2018 | 60 | 2018 |
| Unsupervised neural networks approach for understanding fraudulent financial reporting SY Huang, RH Tsaih, WY Lin Industrial Management & Data Systems 112 (2), 224-244, 2012 | 46 | 2012 |
| Sensitivity analysis, neural networks, and the finance R Tsaih IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999 | 35 | 1999 |
| An efficient search direction for linear programming problems H Luh, R Tsaih Computers & Operations Research 29 (2), 195-203, 2002 | 33 | 2002 |
| Machine learning and artificial neural networks to construct P2P lending credit-scoring model: A case using Lending Club data AH Chang, LK Yang, RH Tsaih, SK Lin Quantitative Finance and Economics 6 (2), 303-325, 2022 | 26 | 2022 |
| Exploring fraudulent financial reporting with GHSOM RH Tsaih, WY Lin, SY Huang Intelligence and Security Informatics: Pacific Asia Workshop, PAISI 2009 …, 2009 | 23 | 2009 |
| The use of big data analytics to predict the foreign exchange rate based on public media: A machine-learning experiment RH Tsaih, BS Kuo, TH Lin, CC Hsu It Professional 20 (2), 34-41, 2018 | 19 | 2018 |
| Using virtual reality for museum exhibitions: the effects of attention and engagement for National Palace Museum HL Chang, YC Shih, K Wang, RH Tsaih, Z Lin | 18 | 2018 |
| Feature extraction of fraudulent financial reporting through unsupervised neural networks SY Huang, RH Tsaih, WY Lin Neural Network World 24 (5), 539, 2014 | 18 | 2014 |
| An explanation of reasoning neural networks RR Tsaih Mathematical and computer modelling 28 (2), 37-44, 1998 | 17 | 1998 |
| Network-traffic anomaly detection with incremental majority learning SY Huang, F Yu, RH Tsaih, Y Huang 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 15 | 2015 |
| National Palace Museum and service innovations RH Tsaih, JQP Lin, YC Chang Emerald Emerging Markets Case Studies 4 (7), 1-16, 2014 | 15 | 2014 |
| The business concept of utilizing the interactive TV R Tsaih, H Chang, CY Huang Industrial Management & Data Systems 105 (5), 613-622, 2005 | 15 | 2005 |
| The prediction approach with growing hierarchical self-organizing map SY Huang, RH Tsaih The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7, 2012 | 14 | 2012 |
| The topic analysis of hospice care research using co-word analysis and GHSOM YH Yang, H Bhikshu, RH Tsaih International Conference on Intelligent Computing and Information Science …, 2011 | 13 | 2011 |
| The softening learning procedure RR Tsaih Mathematical and computer modelling 18 (8), 61-64, 1993 | 13 | 1993 |
