Tae Yong Shin 
- (2023): Observation-informed modeling of artificial neural networks to predict flow and bleeding of cement-based materials. Dans: Construction and Building Materials, v. 409 (décembre 2023).
- (2023): Data science approach to find an outlier in the group of cement dispersants. Dans: Construction and Building Materials, v. 368 (mars 2023).
- (2022): Quantitative evaluation on the pumpability of lightweight aggregate concrete by a full-scale pumping test. Dans: Case Studies in Construction Materials, v. 16 (juin 2022).
- (2020): Quantitative Measurement of Water Absorption of Coarse Lightweight Aggregates in Freshly-Mixed Concrete. Dans: International Journal of Concrete Structures and Materials, v. 14, n. 1 (7 janvier 2020).
- (2017): Rheological properties considering the effect of aggregates on concrete slump flow. Dans: Materials and Structures, v. 50, n. 6 (décembre 2017).
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