Research output per year
Research output per year
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Dive into the research topics where Jeehyeong Khim 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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Machine learning for kinetic constant of organic pollutant removal in ultrasonic-activated oxidant processes: Scenario simulation for interpretation and validation
Sun, S., Guo, F., Son, Y., Kim, J., Cui, M. & Khim, J., 2025 Nov 15, In: Journal of Cleaner Production. 532, 146896.Research output: Contribution to journal › Article › peer-review
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Machine Learning Predictive Models, Interpretations, and Applications of Metal-Based Catalysts, UV, and Thermal Activation Persulfate-Based Advanced Oxidation Processes
Guo, F., Sun, S., Son, Y., Kim, J., Han, S., Zhang, Z., Cui, M. & Khim, J., 2025 Nov 14, In: ACS ES and T Engineering. 5, 11, p. 2910-2924 15 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Biochar-based persulfate activation: Rate constant prediction, key variables identification, and system optimization
Istiqomah, N. A., Jung, D. & Khim, J., 2024 Aug, In: Journal of Water Process Engineering. 65, 105839.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus) -
Design of Permeable Reactive Barrier for Petroleum Polluted Groundwater
Ren, Y., Zhou, Y., Sun, S., Guo, F., Cui, M. & Khim, J., 2024, In: Energy Proceedings. 42Research output: Contribution to journal › Conference article › peer-review
Open Access -
Machine learning vs. statistical model for prediction modeling and experimental validation: Application in groundwater permeable reactive barrier width design
Guo, F., Ren, Y., Zhou, Y., Sun, S., Cui, M. & Khim, J., 2024 May 5, In: Journal of hazardous materials. 469, 133825.Research output: Contribution to journal › Article › peer-review
12 Citations (Scopus)
Press/Media
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Reports Outline Water Process Engineering Study Findings from Korea University (Biochar-based Persulfate Activation: Rate Constant Prediction, Key Variables Identification, and System Optimization)
24/9/2
1 item of Media coverage
Press/Media: Press / Media
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US Patent Issued to KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION on May 14 for "Sulfur-doped micro zero-valent metal reducing agent and method for preparing the same" (South Korean Inventors)
24/5/14
1 item of Media coverage
Press/Media: Press / Media
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Korea University Reports Findings in Machine Learning (Machine learning vs. statistical model for prediction modeling and experimental validation: Application in groundwater permeable reactive barrier width design)
24/3/18
1 item of Media coverage
Press/Media: Press / Media
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Korea University Reports Findings in Machine Learning [Utilizing machine learning for reactive material selection and width design in permeable reactive barrier (PRB)]
24/1/26
1 item of Media coverage
Press/Media: Press / Media
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New Machine Learning Findings Reported from Korea University (Sonoelectrochemical System Mechanisms, Design, and Machine Learning for Predicting Degradation Kinetic Constants of Pharmaceutical Pollutants)
24/1/8
1 item of Media coverage
Press/Media: Press / Media