| Examining the relationship between specific negative emotions and the perceived helpfulness of online reviews G Ren, T Hong Information Processing & Management 56 (4), 1425-1438, 2019 | 197 | 2019 |
| The neural network models for IDS based on the asymmetric costs of false negative errors and false positive errors D Joo, T Hong, I Han Expert Systems with Applications 25 (1), 69-75, 2003 | 163 | 2003 |
| Knowledge-based data mining of news information on the Internet using cognitive maps and neural networks T Hong, I Han Expert systems with applications 23 (1), 1-8, 2002 | 122 | 2002 |
| Segmenting customers in online stores based on factors that affect the customer’s intention to purchase T Hong, E Kim Expert Systems with Applications 39 (2), 2127-2131, 2012 | 115 | 2012 |
| Investigating online destination images using a topic-based sentiment analysis approach G Ren, T Hong Sustainability 9 (10), 1765, 2017 | 78 | 2017 |
| An exploratory analysis of travel-related WeChat mini program usage: affordance theory perspective A Cheng, G Ren, T Hong, K Nam, C Koo Information and Communication Technologies in Tourism 2019: Proceedings of …, 2019 | 40 | 2019 |
| Segmenting customers in online stores from factors that affect the customer's intention to purchase E Kim, T Hong 2010 international conference on information society, 383-388, 2010 | 28 | 2010 |
| A co-attention based multi-modal fusion network for review helpfulness prediction G Ren, L Diao, F Guo, T Hong Information Processing & Management 61 (1), 103573, 2024 | 20 | 2024 |
| Integrated approach of cognitive maps and neural networks using qualitative information on the World Wide Web: the KBNMiner T Hong, I Han Expert Systems 21 (5), 243-252, 2004 | 16 | 2004 |
| Digital transformation to real-time enterprise to Sustain competitive advantage in the digitized world: the role of business intelligence and communication systems Y Park, OA El Sawy, T Hong Korea Business Review 24 (0), 105-130, 2020 | 14 | 2020 |
| Multi-topic sentiment analysis using LDA for online review TH Hong, H Niu, G Ren, JY Park The Journal of Information Systems 27 (1), 89-110, 2018 | 14 | 2018 |
| The Selection of CRM Systems in Financial Institution Using the Analytic Hierarchy Process TH Hong, EM Kim, BM Suh The Journal of Information Systems 17 (2), 137-154, 2008 | 13 | 2008 |
| Exploring simultaneous presentation in online restaurant reviews: An analysis of textual and visual content L Li, G Ren, T Hong, SB Yang Asia Pacific Journal of Information Systems 29 (2), 181-202, 2019 | 11 | 2019 |
| Corporate Credit Rating based on Bankruptcy Probability Using AdaBoost Algorithm-based Support Vector Machine T Shin, TH Hong Journal of Intelligence and Information Systems 17 (3), 25-41, 2011 | 11 | 2011 |
| The prediction of DEA based efficiency rating for venture business using multi-class SVM JY Park, TH Hong Asia pacific journal of information systems 19 (2), 139-155, 2009 | 11 | 2009 |
| A study on the effect of reviewer's attributes on the usefulness of online review ZY Yao, YK Park, TH Hong The Journal of Information Systems 29 (2), 173-195, 2020 | 10 | 2020 |
| The WeChat mini program for smart tourism A Cheng, G Ren, T Hong, C Koo Asia Pacific Journal of Information Systems 29 (3), 489-502, 2019 | 10 | 2019 |
| Understanding the relationship between social media use and depression: a review of the literature W Zhu, J Mou, M Benyoucef, J Kim, T Hong, S Chen Online information review 47 (6), 1009-1035, 2023 | 9 | 2023 |
| Developing the online reviews based recommender models for multi-attributes using deep learning RK Lee, N Chung, T Hong The Journal of Information Systems 28 (1), 97-114, 2019 | 9 | 2019 |
| Predicting the Response of Segmented Customers for the Promotion Using Data Mining TH Hong, EM Kim Information Systems Review 12 (2), 75-88, 2010 | 9 | 2010 |
