Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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Dive into the research topics where Myung-Joon Jeong is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Research output
- 16 Journal article
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Robust Pretreatment in Combination with Ultrasound-Assisted Surfactant to Improve the Enzymatic Hydrolysis of Eucalyptus pellita
Zhand, S., Yang, B. S., Kang, K. Y. & Jeong, M. J., 2024.05.1, In: BioResources. 19, 2, p. 2244-2271 28 p.Research output: Contribution to journal › Journal article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
옻칠 한지의 품질 특성: 한중일 옻칠의 물리적 ‧ 광학적 변화 분석
Baek, M. & Jeong, M. J., 2024.11, In: Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry. 56, 6, p. 104-112 9 p.Translated title of the contribution :Comparative Evaluation of Physical and Optical Properties of Hanji Coated with Korean, Chinese, and Japanese Ottchil Lacquer Research output: Contribution to journal › Journal article › peer-review
Open Access -
Minimally invasive evaluation of cellulose paper degradation using water-soluble carbohydrates
Hwang, Y., Kang, K. Y., Yang, B. S., Potthast, A. & Jeong, M. J., 2023.06, In: Cellulose. 30, 9, p. 5923-5933 11 p.Research output: Contribution to journal › Journal article › peer-review
3 Link opens in a new tab Scopus citations -
Predictive Modeling of Traditional Korean Paper Characteristics Using Machine Learning Approaches (Part 1): Discriminating Manufacturing Origins with Artificial Neural Networks and Infrared Spectroscopy
Hwang, S. W., Park, G., Kim, J. & Jeong, M. J., 2023.07, In: Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry. 55, 4, p. 57-69 13 p.Research output: Contribution to journal › Journal article › peer-review
Open Access8 Link opens in a new tab Scopus citations -
기계학습을 이용한 한지의 특성 예측 모델링 (Part 2) - 랜덤 포레스트를 이용한 카보닐기 함량 예측과 변수 중요도 분석 -
Kim, K. J., Kim, J. H., Park, G. & Jeong, M. J., 2023, In: Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry. 55, 5, p. 13-23 11 p.Translated title of the contribution :Predictive Modeling of Korean Traditional Paper Characteristics Using Machine Learning Approaches (Part 2): Prediction of Carbonyl Content and Analysis of Variable Importance Using Random Forest Research output: Contribution to journal › Journal article › peer-review
Open Access4 Link opens in a new tab Scopus citations