| Digital twin aided vulnerability assessment and risk-based maintenance planning of bridge infrastructures exposed to extreme conditions S Kaewunruen, J Sresakoolchai, W Ma, O Phil-Ebosie Sustainability 13 (4), 2051, 2021 | 93 | 2021 |
| Sustainability-based lifecycle management for bridge infrastructure using 6D BIM S Kaewunruen, J Sresakoolchai, Z Zhou Sustainability 12 (6), 2436, 2020 | 93 | 2020 |
| Life cycle cost, energy and carbon assessments of Beijing-Shanghai high-speed railway S Kaewunruen, J Sresakoolchai, J Peng Sustainability 12 (1), 206, 2019 | 57 | 2019 |
| Detection and severity evaluation of combined rail defects using deep learning J Sresakoolchai, S Kaewunruen Vibration 4 (2), 341-356, 2021 | 32 | 2021 |
| Global warming potentials due to railway tunnel construction and maintenance S Kaewunruen, J Sresakoolchai, S Yu Applied Sciences 10 (18), 6459, 2020 | 29 | 2020 |
| Railway defect detection based on track geometry using supervised and unsupervised machine learning J Sresakoolchai, S Kaewunruen Structural health monitoring 21 (4), 1757-1767, 2022 | 28 | 2022 |
| Comparative studies into public private partnership and traditional investment approaches on the high-speed rail project linking 3 airports in Thailand J Sresakoolchai, S Kaewunruen Transportation Research Interdisciplinary Perspectives 5, 100116, 2020 | 24 | 2020 |
| Digital twins for managing railway maintenance and resilience S Kaewunruen, J Sresakoolchai, Y Lin Open Research Europe 1, 2021 | 23 | 2021 |
| Prediction of healing performance of autogenous healing concrete using machine learning X Huang, M Wasouf, J Sresakoolchai, S Kaewunruen Materials 14 (15), 4068, 2021 | 21 | 2021 |
| Potential reconstruction design of an existing townhouse in Washington DC for approaching net zero energy building goal S Kaewunruen, J Sresakoolchai, L Kerinnonta Sustainability 11 (23), 6631, 2019 | 21 | 2019 |
| Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component defects J Sresakoolchai, S Kaewunruen Scientific Reports 13 (1), 2439, 2023 | 18 | 2023 |
| Integration of building information modeling and machine learning for railway defect localization J Sresakoolchai, S Kaewunruen IEEE Access 9, 166039-166047, 2021 | 16 | 2021 |
| Machine learning aided design and prediction of environmentally friendly rubberised concrete X Huang, J Zhang, J Sresakoolchai, S Kaewunruen Sustainability 13 (4), 1691, 2021 | 16 | 2021 |
| Prognostics of unsupported railway sleepers and their severity diagnostics using machine learning J Sresakoolchai, S Kaewunruen Scientific reports 12 (1), 6064, 2022 | 15 | 2022 |
| Self-healing performance assessment of bacterial-based concrete using machine learning approaches X Huang, J Sresakoolchai, X Qin, YF Ho, S Kaewunruen Materials 15 (13), 4436, 2022 | 13 | 2022 |
| Integration of building information modeling (BIM) and artificial intelligence (AI) to detect combined defects of infrastructure in the railway system J Sresakoolchai, S Kaewunruen Resilient Infrastructure: Select Proceedings of VCDRR 2021, 377-386, 2021 | 13 | 2021 |
| Wheel flat detection and severity classification using deep learning techniques J Sresakoolchai, S Kaewunruen Insight-Non-Destructive Testing and Condition Monitoring 63 (7), 393-402, 2021 | 13 | 2021 |
| Track geometry prediction using three-dimensional recurrent neural network-based models cross-functionally co-simulated with BIM J Sresakoolchai, S Kaewunruen Sensors 23 (1), 391, 2022 | 11 | 2022 |
| Machine learning to identify dynamic properties of railway track components S Kaewunruen, J Sresakoolchai, H Stittle International Journal of Structural Stability and Dynamics 22 (11), 2250109, 2022 | 10 | 2022 |
| Machine learning aided rail corrugation monitoring for railway track maintenance S Kaewunruen, J Sresakoolchai, G Zhu Struct. Monit. Maint 8 (2), 151-166, 2021 | 9 | 2021 |
