Publications
I have authored research papers published in both English and Korean. For more details, please refer to my Google Scholar.
I have authored research papers published in both English and Korean. For more details, please refer to my Google Scholar.
[2026]
[J21] Jung, H. S. & Lee, H. (2026) Explainable zero-shot trading using multi-agent LLM architecture: A backtested approach for Bitcoin price. Information Processing & Management, 63(2), 104466. (SSCI, SCIE, JCR 2024 IF=6.9, Top 5.1% Q1 in Computer Science, Information Systems; Information Science & library Science)
[2025]
[J20] Jung, H. S., Lee, H., Ko, Y., Kim, Y., Choi, S. & Park, K. C. (2025) Latent Profiles and Regression-Based Analysis of Socio-Emotional Development: Evidence from Longitudinal Data and Interpretable Machine Learning, Journal of Korea Multimedia Society, 28(9), 1339-1357. (KCI)
[J19] Jung, H. S., Lee, H.(Co-First) & Park, K. C. (2025) Analysis of UX Elements in Educational Applications for Young Children and Implementation of ISO/IEC 25010 Framework. Sage Open, 15, 3. (SSCI, JCR 2024 IF=2.0, Q1 in Social Sciences, Interdisciplinary)
[J18] Jung, H. S., Lee, H.(Co-First) & Kim, J. H. (2025). Detecting Bitcoin Sentiment: Leveraging Language Model Applications in Sentiment Analysis for Bitcoin Price Prediction. Neural Processing Letters, 57, 77. (SCIE, JCR 2024 IF=2.8, Q3 in Computer Science, Artificial Intelligence)
[C11] Jung, H. S., Lee, H. & Park, K. C. (2025). Proposal for a Korean Harmful Language Dataset and Automatic Filtering Framework to Support Socio- Emotional Development in Young Children. 2025 Korean Association of Data Science Conference (2025 한국데이터사이언스학회 춘계학술발표대회).
[C10] Lee, H., Jung, H. S. & Park, K. C. (2025). Analyzing Learning Patterns and Socio-Emotional Interactions in AI-Based Early Childhood Education. 2025 KSII SPRING Conference (2025년도 한국인터넷정보학회 춘계학술발표대회).
[C9] Jung, H. S. & Lee, H. (2025). Analyzing the Price Synchronization Between Bitcoin and ESG- Friendly Cryptocurrencies. 2025 KSII SPRING Conference (2025년도 한국인터넷정보학회 춘계학술발표대회).
[J17] Lee, H., Kim, J. H. & Jung, H. S. (2025). ESG-KIBERT: A New Paradigm in ESG Evaluation Using NLP and Industry-Specific Customization. Decision Support Systems, 193, 114440. (SCIE, JCR 2023 IF=6.7, Top 8% Q1 in Operations Research & Management Science; Computer Science, Artificial Intelligence)
[J16] Lee, H., Kim, J. H. & Jung, H. S. (2025). From corporate earnings calls to social impact: Exploring ESG signals in S&P 500 ESG index companies through transformer-based models. Journal of Cleaner Production, 501, 145320. (SCIE, JCR 2023 IF=9.8, Top 6% Q1 in Environmental Sciences)
[J15] Jung, H. S., Kim, J. H. & Lee, H. (2025) Refining the Prediction of User Satisfaction on Chat-based AI Applications with Unsupervised Filtering of Rating-Text Inconsistencies. Royal Society Open Science, 12(2), 241687. (SCIE, JCR 2023 IF=2.9, Q1 in Multidisciplinary Sciences)
[2024]
[J14] Jung, H. S., Kim, J. H. & Lee, H. (2024) Decoding Bitcoin: leveraging macro- and micro-factors in time series analysis for price prediction. PeerJ Computer Science, 10, e2314. (SCIE, JCR 2023 IF=3.5, Q1 in Computer Science, Theory & Methods)
[J13] Jung, H. S., Lee, H.(Co-First), Woo, Y. S., Baek, S. Y., & Kim, J. H. (2024) Expansive Data, Extensive Model: Investigating discussion topics around LLM through Unsupervised Machine Learning in Academic Papers and News. PLoS One, 19(5), e0304680. (SCIE, JCR 2022 IF=3.7, Q2 in Multidisciplinary Sciences)
[J12] Lee, H., Kim, J. H., & Jung, H. S. (2024). Deep-Learning-Based Stock Market Prediction Incorporating ESG Sentiment and Technical Indicators. Scientific Reports, 14, 10262. (SCIE, JCR 2022 IF=4.6, Q2 in Multidisciplinary Sciences)
[J11] Lee, H., Jung, H. S., Park, H., & Kim, J. H. (2024). CORRECT? CORECT!: Classification of ESG Ratings with Earnings Call Transcript. KSII Transactions on Internet & Information Systems, 18(4), 1090-1100. (SCIE, JCR 2022 IF=1.5 in Computer Science, Information Systems)
[J10] Lee, H., Lee, S. H., Park, H., Kim, J. H., & Jung, H. S. (2024). ESG2PreEM: Automated ESG Grade Assessment Framework Using Pre-Trained Ensemble Models, Heliyon, 10(4), e26404. (SCIE, JCR 2022 IF=4.0, FWCI= 6.77, Q2 in Multidisciplinary Sciences)
[2023]
[J9] Lee, K. N., Lee, H., Kim, J. H., Kim, Y., & Lee, S. H. (2023). Comparing Social Media and News Articles on Climate Change: Different Viewpoints Revealed. KSII Transactions on Internet & Information Systems, 17(11), 2966-2986. (SCIE, JCR 2022 IF=1.5 in Computer Science, Information Systems)
[J8] Jung, H. S., Lee, H., & Kim, J. H. (2023). Unveiling Cryptocurrency Conversations: Insights from Data Mining and Unsupervised Learning across Multiple Platforms. IEEE Access, 11, 130573-130583. (SCIE, JCR 2022 IF=3.9, Q2 in Computer Science, Information Systems)
[J7] Lee, H., Jung, H. S., Lee, S. H., & Kim, J. H. (2023). Robust Sentiment Classification of Metaverse Services Using a Pre-trained Language Model with Soft Voting. KSII Transactions on Internet and Information Systems, 17(9), 2334-2347 (SCIE, JCR 2022 IF=1.5 in Computer Science, Information Systems)
[C8] Lee, H., Jung, H. S., Park, H., & Kim, J. H. (Sungkyunkwan Univ., ROK), (2023, June). Revolutionizing ESG Evaluation: A Study on the Potential of Earnings Call Transcript Data. The 18th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2023).
[C7] Jung, H. S., Lee, H., & Kim, J. H. (Sungkyunkwan Univ., ROK), (2023, June). LSTM-based Prediction of Bitcoin Prices Using Technical Indicators, Sentiment Analysis, and Google Trends. The 18th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2023).
[J6] Lee, H., Lee, S. H., Lee, K. R., & Kim, J. H. (2023). ESG Discourse Analysis Through BERTopic: Comparing News Articles and Academic Papers. Computers, Materials & Continua, 75(3), 6023-6037 (SCIE, JCR 2021 IF= 3.860, FWCI= 2.36, Q2 in Computer Science, Information Systems)
[C6] Lee, H., Jung, H. S., Lee, S. H., & Kim, J. H. (2023, April). Improvement and Discussion on ESG Evaluation Criteria through Automated Text Analysis Techniques. 2023 KSII SPRING Conference (2023년도 한국인터넷정보학회 춘계학술발표대회).
[C5] Kim, M., Lee, H., Lee, S. H., & Kim, J. H. (2023, February). What rather than how: A DMR topic modeling analysis of news coverage on the British Museum. In 2023 IEEE International Conference on Big Data and Smart Computing (BigComp) (pp. 167-173). IEEE.
[J5] Jung, H. S., Lee, S. H., Lee, H., & Kim, J. H. (2023). Predicting Bitcoin Trends Through Machine Learning Using Sentiment Analysis with Technical Indicators. Computer Systems Science and Engineering, 46(2), 2231-2246. (SCIE, JCR 2021 IF=4.397, Q1 in Computer Science, Hardware & Architecture)
[2022]
[C4] Lee, H., Yu, D., Kim, J. H., & Park, H. (2022, November). Prediction of Corporate Bankruptcy with Machine Learning. 2022 Korea Finance Association Fall Conference (2022년도 한국재무학회 추계학술대회: 산학협동세션).
[J4] Shim, H., Kim, Y., Minton, G., Nan, D., Kim, Y., Lee, H., ... & Kim, J. H. (2022). Network analysis of open innovation in the era of the Fourth Industrial Revolution. Asian Journal of Technology Innovation, 30(3), 538-558. (SSCI, JCR 2021 IF=1.769 in Business)
[J3] Lee, H., Lee, S. H., Nan, D., & Kim, J. H. (2022). Predicting User Satisfaction of Mobile Healthcare Services Using Machine Learning: Confronting the COVID-19 Pandemic. Journal of Organizational and End User Computing (JOEUC), 34(6), 1-17. (SSCI, JCR 2021 IF= 7.4, Q1 in Computer Science & Information Systems)
[C3] Kim, J. H., Jung, H. S., Park, M. H., Lee, S. H., Lee, H., Kim, Y., & Nan, D. (2022). Exploring Cultural Differences of Public Perception of Artificial Intelligence via Big Data Approach. In International Conference on Human-Computer Interaction (pp. 427-432). Springer, Cham.
[C2] Kim, J. H., Lee, S. H., & Lee, H. (2022, April). A Dirichlet-Multinomial Regression Topic Model Analysis on the News data in Metaverse. 2022 KSII SPRING Conference (2022년도 한국인터넷정보학회 춘계학술발표대회).
[J2] Lee, S. H., Lee, H., & Kim, J. H. (2022). Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning. Computers, Materials and Continua, 72(3), 4983-4997. (SCIE, JCR 2020 IF= 3.772, Q2 in Computer Science, Information Systems)
[J1] Nan, D., Lee, H., Kim, Y., & Kim, J. H. (2022). My video game console is so cool! A coolness theory-based model for intention to use video game consoles. Technological Forecasting and Social Change, 176, 121451. (SSCI, JCR 2020 IF=8.593, Q1 in Regional & Urban Planning)
[2021]
[C1] Lee, H., & Kim, J. H. (2021, June). Exploring user experience via Bi-LSTM analysis and semantic network analysis: A case of mobile games. The 16th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2021).