Research output per year
Research output per year
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Dive into the research topics where Man Jae Kwon 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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A two-step sampling strategy to improve the prediction accuracy of contamination hotspots and identify hotspot boundaries
Kim, J., Lee, S., Ryu, T., Na, J., Yun, T., Lee, J., Kim, H., Kwon, M. J., Jo, H. Y. & Joo, Y., 2025 Oct, In: Spatial Statistics. 69, 100918.Research output: Contribution to journal › Article › peer-review
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Biofilm development on fractured rock in oligotrophic nitrate-rich groundwater: An in-situ bioreactor study
Park, K., Kim, K. Y., Kirk, M. F. & Kwon, M. J., 2025 Jun 1, In: Water Research. 277, 123329.Research output: Contribution to journal › Article › peer-review
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Explainable machine learning for arsenic remobilization potential in the vadose zone: Leveraging readily available soil properties
Tran, T. H. H., Kim, S. H., Nguyen, Q. H. N., Kwon, M. J., Chung, J. & Lee, S., 2025 Aug 5, In: Journal of hazardous materials. 493, 138400.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Microbial Fe(III) reduction across a pH gradient: The impacts on secondary mineralization and microbial community development
Jang, Y. S., Zhang, Y., Kirk, M. F., Kim, J., Kim, M., Lee, N., Song, H. & Kwon, M. J., 2025 Apr, In: Journal of Environmental Management. 379, 124841.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Anaerobic microbial metabolism in soil columns affected by highly alkaline pH: Implication for biogeochemistry near construction and demolition waste disposal sites
Min, H., O'Loughlin, E. J. & Kwon, M. J., 2024 Sept, In: Journal of Environmental Management. 368, 122127.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus)
Press/Media
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Korea Institute of Science and Technology Reports Findings in Machine Learning (Explainable machine learning for arsenic remobilization potential in the vadose zone: Leveraging readily available soil properties)
25/5/14
1 item of Media coverage
Press/Media: Press / Media
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Korea Institute of Science and Technology Reports Findings in Science (Prediction of arsenic retention in vadose zone based on empirical relationship between soil properties and segmented retardation factors)
24/7/10
1 item of Media coverage
Press/Media: Press / Media
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Korea University Reports Findings in Chemicals and Chemistry (Multi-approach assessment of groundwater biogeochemistry: Implications for the site characterization of prospective spent nuclear fuel repository sites)
24/4/10
1 item of Media coverage
Press/Media: Press / Media
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Korea Institute of Science and Technology Reports Findings in Science [Influence of iron (hydr)oxide mineralogy and contents in aquifer sediments on dissolved organic carbon attenuations during aquifer storage and recovery]
24/1/26
1 item of Media coverage
Press/Media: Press / Media
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Argonne National Laboratory Reports Findings in Chemicals and Chemistry [Reaction pathways and Sb(III) minerals formation during the reduction of Sb(V) by Rhodoferax ferrireducens strain YZ-1]
24/1/9
1 item of Media coverage
Press/Media: Press / Media