19. Gi-Young Chae and Chul-Yong Lee. (January 31 2024). Estimating public preferences for thalassotherapy centers using a choice experiment, Tourism Management Perspectives, 50, 101214. (SSCI, IF: 8.7, JCR: 14.5%).
18. Park, C., Lim, S., Shin, J. and Lee, C.-Y.. (August 31, 2022). How much hydrogen should be supplied in the transportation market? Focusing on hydrogen fuel cell vehicle demand in South Korea, Technological Forecasting and Social Change, 181, 121750 (SSCI, IF: 8.593, JCR: 7.3%).
17. Chul-Yong Lee, Jung-Woo Jang, Minkyu Lee (Oct. 1, 2020). Willingness to accept values for vehicle-to-grid service in South Korea. Transportation Research Part D: Transport and
17. Chul-Yong Lee, Jung-Woo Jang, Minkyu Lee (Oct. 1, 2020). Willingness to accept values for vehicle-to-grid service in South Korea. Transportation Research Part D: Transport and
Environment, 87, 1-10. (SSCI, IF: 4.577, JCR: 12.2%).
16. Chul-Yong Lee and Jaekyun Ahn (June 11, 2020). Stochastic Modeling of the Levelized Cost of Electricity for Solar PV. Energies, 13, 3017.
15. JongRoul Woo, Sungsam Chung, Chul-Yong Lee , and Sung-Yoon Huh (Sep. 1, 2019). Willingness to participate in community-based renewable energy projects: A contingent valuation
16. Chul-Yong Lee and Jaekyun Ahn (June 11, 2020). Stochastic Modeling of the Levelized Cost of Electricity for Solar PV. Energies, 13, 3017.
15. JongRoul Woo, Sungsam Chung, Chul-Yong Lee , and Sung-Yoon Huh (Sep. 1, 2019). Willingness to participate in community-based renewable energy projects: A contingent valuation
study in South Korea. Renewable & Sustainable Energy Reviews, 112, 643-652 (SCI, IF: 12.110, JCR: 5.4%).
14. Sung-Yoon Huh, JongRoul Woo, and Chul-Yong Lee* (March 28, 2019). What Do Potential Residents Really Want When Hosting a Nuclear Power Plant? An Empirical Study of Economic Incentives in South Korea. Energies, 12(7), 1199 (SCIE, IF: 2.262, JCR: 48.9%).
13. Hyunsuk Byun, Jung-Woo Shin and Chul-Yong Lee (Feb. 1, 2018). Using a discrete choice experiment to predict the penetration possibility of environmentally friendly vehicles. Energy,
13. Hyunsuk Byun, Jung-Woo Shin and Chul-Yong Lee (Feb. 1, 2018). Using a discrete choice experiment to predict the penetration possibility of environmentally friendly vehicles. Energy,
144, 312-321 (SCI, IF: 6.082, JCR: 5.2%).
12. Gobong Choi, Sung-Yoon Huh, Eunnyeong Heo, and Chul-Yong Lee (Feb., 2018). Prices versus quantities: Comparing economic efficiency of feed-in tariff and renewable portfolio
12. Gobong Choi, Sung-Yoon Huh, Eunnyeong Heo, and Chul-Yong Lee (Feb., 2018). Prices versus quantities: Comparing economic efficiency of feed-in tariff and renewable portfolio
standard in promoting renewable electricity generation. Energy Policy, 113, 239-248 (SSCI, IF: 4.140, JCR: 14.4%).
11. Chul-Yong Lee, Seung-Hoon Yoo, and Minkyu Lee (June 1, 2017). Willingness to pay for replacing traditional energies with renewable energy in South Korea. Energy, 128, 284-290 (SCI, IF: 6.082, JCR: 5.2%).
10. Chul-Yong Lee and Sung-Yoon Huh (July 1, 2017). Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea. Applied
11. Chul-Yong Lee, Seung-Hoon Yoo, and Minkyu Lee (June 1, 2017). Willingness to pay for replacing traditional energies with renewable energy in South Korea. Energy, 128, 284-290 (SCI, IF: 6.082, JCR: 5.2%).
10. Chul-Yong Lee and Sung-Yoon Huh (July 1, 2017). Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea. Applied
Energy, 197, 29-39 (SCI, IF: 8.848, JCR: 3.0%).
9. Hyunsuk Byun and Chul-Yong Lee* (June 1, 2017). Analyzing Korean consumers’ latent preferences for electricity generation sources with a hierarchical Bayesian logit model in a
9. Hyunsuk Byun and Chul-Yong Lee* (June 1, 2017). Analyzing Korean consumers’ latent preferences for electricity generation sources with a hierarchical Bayesian logit model in a
discrete choice experiment. Energy Policy, 105, 294-302 (SSCI, IF: 4.140, JCR: 14.4%).
8. Chul-Yong Lee and Sung-Yoon Huh (March 1, 2017). Forecasting new and renewable energy supply through a bottom-up approach: The case of South Korea. Renewable & Sustainable
8. Chul-Yong Lee and Sung-Yoon Huh (March 1, 2017). Forecasting new and renewable energy supply through a bottom-up approach: The case of South Korea. Renewable & Sustainable
Energy Reviews, 69, 207-217 (SCI, IF: 12.110, JCR: 5.4%).
7. Jung-Woo Shin, Chul-Yong Lee*, and Hongbum Kim (Nov. 1, 2016). Technology and Demand Forecasting for Carbon Capture and Storage Technology in South Korea. Energy Policy,
7. Jung-Woo Shin, Chul-Yong Lee*, and Hongbum Kim (Nov. 1, 2016). Technology and Demand Forecasting for Carbon Capture and Storage Technology in South Korea. Energy Policy,
98, 1-11 (SSCI, IF: 4.140, JCR: 14.4%).
6. Chul-Yong Lee and Hyejin Heo (July 1, 2016). Estimating willingness to pay for renewable energy in South Korea using the contingent valuation method. Energy Policy, 94, 150-156
6. Chul-Yong Lee and Hyejin Heo (July 1, 2016). Estimating willingness to pay for renewable energy in South Korea using the contingent valuation method. Energy Policy, 94, 150-156
(SSCI, IF: 4.140, JCR: 14.4%).
5. Sung-Yoon Huh and Chul-Yong Lee* (June 1, 2014). Diffusion of Renewable Energy Technologies in South Korea on Incorporating Their Competitive Interrelationships. Energy Policy,
5. Sung-Yoon Huh and Chul-Yong Lee* (June 1, 2014). Diffusion of Renewable Energy Technologies in South Korea on Incorporating Their Competitive Interrelationships. Energy Policy,
69, 248-257 (SSCI, IF: 4.140, JCR: 14.4%).
4. Jongsu Lee, Chul-Yong Lee*, and Kichun Sky Lee (Sep. 30, 2012). Forecasting Demand for a Newly Introduced Product Using Reservation Price Data and Bayesian Updating.
4. Jongsu Lee, Chul-Yong Lee*, and Kichun Sky Lee (Sep. 30, 2012). Forecasting Demand for a Newly Introduced Product Using Reservation Price Data and Bayesian Updating.
Technological Forecasting and Social Change, 79(7), 1280-1291 (SSCI, IF: 2.625, JCR: 7.3%).
3. Jongsu Lee, Chul-Yong Lee*, and Tai-Yoo Kim (Dec. 31, 2009). A Practical Approach for Beginning the Process of Technology Roadmapping. International Journal of Technology
3. Jongsu Lee, Chul-Yong Lee*, and Tai-Yoo Kim (Dec. 31, 2009). A Practical Approach for Beginning the Process of Technology Roadmapping. International Journal of Technology
Management, 47(4), 306-321 (SSCI, IF: 1.036, JCR: 56.5%).
2. Chul-Yong Lee, Jung-Dong Lee, and Yeonbae Kim (Jan. 31, 2008). Demand Forecasting for New Technology with a Short History in a Competitive Environment: The Case of the Home
2. Chul-Yong Lee, Jung-Dong Lee, and Yeonbae Kim (Jan. 31, 2008). Demand Forecasting for New Technology with a Short History in a Competitive Environment: The Case of the Home
Networking Market in South Korea. Technological Forecasting and Social Change, 75(1), 91-106 (SSCI, IF: 2.625, JCR: 7.3%).
1. Jongsu Lee, Youngsang Cho, Jung-Dong Lee, and Chul-Yong Lee (May 31, 2006). Forecasting the evolution of demand for the large sized television of next generation using conjoint
1. Jongsu Lee, Youngsang Cho, Jung-Dong Lee, and Chul-Yong Lee (May 31, 2006). Forecasting the evolution of demand for the large sized television of next generation using conjoint
and diffusion models. Technological Forecasting and Social Change, 73(4), 362-376 (SSCI, IF: 2.625, JCR: 7.3%).