[13] Kim, YR.*, Liu, S., Lagerström, M., Granhag, L., & Ytreberg, E. (2026). "A semi-empirical framework for assessing the impact of biofouling on ship powering in tropical waters." Ocean Engineering, 357, 125590. https://doi.org/10.1016/j.oceaneng.2026.125590 

[12] Kim, YR.*, Lagerström, M., Ytreberg, E., Granhag, L. (2026). "Biofouling Intensity in European Waters: A Compiled Dataset and Spatial Assessment with Focus on the Baltic and Northeast Atlantic". Marine Pollution Bulletin, 225, 119290. https://doi.org/10.1016/j.marpolbul.2026.119290

[11] Kim, YR.* and Ozyurt, R. (2025). "Underestimated Penalty of Hull Fouling: A Scenario-Based Analysis of GHG 

Emissions from Global Shipping". Applied Ocean Research, Vol. 165, 104870. https://doi.org/10.1016/j.apor.2025.104870

[10] Kim, YR.*, Gupta, P., and Steen, S. (2025). "A comprehensive review of data processing for ship performance analysis". 

Applied Ocean Research, Vol. 162, 104737. https://doi.org/10.1016/j.apor.2025.104737

[9] Kim, YR.*, Lagerström, M., Granhag, L., and Ytreberg, E. (2025). "Sustainable Hull maintenance strategies in Baltic Sea

 region through case studies of RoPax vessels". Marine Pollution Bulletin, Vol. 211, 117453. 

https://doi.org/10.1016/j.marpolbul.2025.117453

[8] Esmailian, E.*, Kim, YR., Steen, S., and Koushan, K. (2025). "A new power prediction method using ship in-service data:

 a case study on a general cargo ship". Ship Technology Research, Vol. 72, No. 1, pp. 22-Jan.

[7] Kim, YR.*, Steen, S, 2023. "Potential energy savings of air lubrication technology on merchant ships". International

 Journal of Naval Architecture and Ocean Engineering, Vol. 15, 100530. https://doi.org/10.1016/j.ijnaoe.2023.100530

[6] Kim, YR.*, Steen, S., Kramel, D., Muri, H., and Strømman, AH. (2023). "Modelling of ship resistance and power

 consumption for the global fleet: The MariTEAM model". Ocean Engineering, Vol. 281, 114758. 

https://doi.org/10.1016/j.oceaneng.2023.114758

[5] Gupta, P.*, Kim, YR., Steen, S., Rasheed, A. (2023). "Streamlined semi-automatic data processing framework for ship

 performance analysis". International Journal of Naval Architecture and Ocean Engineering, Vol. 15, 100550. 

https://doi.org/10.1016/j.ijnaoe.2023.100550

[4] Kim, YR.*, Steen, S., and Muri, H. (2022). "A novel method for estimating missing values in ship principal data". Ocean

 Engineering, Vol. 251, 110979. https://doi.org/10.1016/j.oceaneng.2022.110979

[3] Kim, YR.*, Esmailian, E., and Steen, S. (2022). "A meta-model for added resistance in waves". Ocean Engineering, Vol.

 266, 112749. https://doi.org/10.1016/j.oceaneng.2022.112749

[2] Kim, YR., Jung, M.*, and Park, JB. (2021). "Development of a fuel consumption prediction model based on machine

 learning using ship in-service data". Journal of Marine Science and Engineering, Vol. 9, No. 2, pp. 137.  

https://doi.org/10.3390/jmse9020137

[1] Kramel, D.*, Muri, H., Kim, YR., Lonka, R., Nielsen, JB., Ringvold, AL., Bouman, EA., Steen, S., and Strømman, AH. (2021).

 "Global shipping emissions from a well-to-wake perspective: the MariTEAM model". Environmental science & technology,

 Vol. 55, No. 22, pp. 15040-15050. https://doi.org/10.1021/acs.est.1c04511