| The Computational Limits of Deep Learning NC Thompson, K Greenewald, K Lee, GF Manso arXiv preprint arXiv:2007.05558, 2020 | 775 | 2020 |
| Factors that influence an individual's intention to adopt a wearable healthcare device: The case of a wearable fitness tracker SY Lee, K Lee Technological Forecasting and Social Change 129, 154-163, 2018 | 206 | 2018 |
| Deep Learning's Diminishing Returns: The Cost of Improvement is Becoming Unsustainable NC Thompson, K Greenewald, K Lee, GF Manso IEEE Spectrum 58 (10), 50-55, 2021 | 180 | 2021 |
| Agent-based diffusion model for an automobile market with fuzzy TOPSIS-based product adoption process S Kim, K Lee, JK Cho, CO Kim Expert Systems with Applications 38 (6), 7270-7276, 2011 | 117 | 2011 |
| Dynamic semantic network analysis for identifying the concept and scope of social sustainability K Lee, H Jung Journal of Cleaner Production 233, 1510-1524, 2019 | 76 | 2019 |
| The computational limits of deep learning. arXiv 2020 NC Thompson, K Greenewald, K Lee, GF Manso arXiv preprint arXiv:2007.05558, 2007 | 70 | 2007 |
| Simple and Steady Interactions Win the Healthy Mentality: Designing a Chatbot Service for the Elderly H Ryu, S Kim, D Kim, S Han, K Lee, Y Kang Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-25, 2020 | 58 | 2020 |
| Can Chatbots Help Reduce the Workload of Administrative Officers?-Implementing and Deploying FAQ Chatbot Service in a University K Lee, J Jo, J Kim, Y Kang International Conference on Human-Computer Interaction, 348-354, 2019 | 55 | 2019 |
| Subject–method topic network analysis in communication studies K Lee, H Jung, M Song Scientometrics 109 (3), 1761-1787, 2016 | 42 | 2016 |
| The computational limits of deep learning (2020) NC Thompson, K Greenewald, K Lee, GF Manso arXiv preprint arXiv:2007.05558, 2007 | 35 | 2007 |
| Designing technology entrepreneurship education using computational thinking Y Kang, K Lee Education and Information Technologies 25, 5357-5377, 2020 | 33 | 2020 |
| A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design K Lee Sustainability 13 (5), 2668, 2021 | 29 | 2021 |
| A Data-Driven Design Framework for Customer Service Chatbot S Hwang, B Kim, K Lee International Conference on Human-Computer Interaction, 222-236, 2019 | 29 | 2019 |
| An Agent-Based Competitive Product Diffusion Model for the Estimation and Sensitivity Analysis of Social Network Structure and Purchase Time Distribution K Lee, S Kim, CO Kim, T Park Journal of Artificial Societies and Social Simulation 16 (1), 3, 2013 | 28 | 2013 |
| The paradigm shift of mass customisation research S Kim, K Lee International Journal of Production Research, 2022 | 27 | 2022 |
| Pricing and Timing Strategies for New Product Using Agent-Based Simulation of Behavioural Consumers K Lee, H Lee, CO Kim Journal of Artificial Societies and Social Simulation 17 (2), 1, 2014 | 20 | 2014 |
| 문헌정보학 분야 핵심 학술지들의 가중 주제-방법 네트워크 분석 이기헌， 정효정， 송민 한국문헌정보학회지 49 (3), 457-488, 2015 | 18 | 2015 |
| Digital Libraries: Providing Quality Information: 17th International Conference on Asia-Pacific Digital Libraries, ICADL 2015, Seoul, Korea, December 9-12, 2015. Proceedings RB Allen, J Hunter, ML Zeng Springer, 2015 | 16* | 2015 |
| The computational limits of deep learning C Thompson Neil, G Kristjan, L Keeheon, F Manso Gabriel ArXiv, Cornell University, juillet, 2020 | 11 | 2020 |
| Examining Characteristics of Traditional and Twitter Citation H Jung, K Lee, M Song Frontiers in Research Metrics and Analytics 1, 6, 2016 | 11 | 2016 |
Min SongYonsei UniversityEmail verificata su yonsei.ac.kr