| Deep learning for ultrasonic crack characterization in NDE RJ Pyle, RLT Bevan, RR Hughes, RK Rachev, AAS Ali, PD Wilcox IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2020 | 81 | 2020 |
| Plane wave imaging techniques for immersion testing of components with nonplanar surfaces RK Rachev, PD Wilcox, A Velichko, KL McAughey IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67 …, 2020 | 35 | 2020 |
| Ultrasonic immersion testing for crack detection and depth sizing in large diameter pipes RK Rachev, PD Wilcox, A Velichko, K McAughey, J Giese Proc. ECNDT, 1-8, 2018 | 6 | 2018 |
| Advanced ultrasonic array processing for pipeline inline inspection RK Rachev University of Bristol, 2021 | 2 | 2021 |
| An ultrasonic approach to identify in-core reactor fuel for safeguards applications BM van der Ende, M Stringer, M Luloff, R Rachev Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2023 | | 2023 |
| Ultrasonic Array Imaging for Defect Detection in the Nuclear Industry RK Rachev, J Olfert 2023 IEEE International Ultrasonics Symposium (IUS), 1-5, 2023 | | 2023 |
| Ultrasonic immersion testing for depth sizing of crack-like defects in large diameter pipes RK Rachev, A Velichko, P Wilcox Review of Progress in Quantitative Nondestructive Evaluation, 2019 | | 2019 |
| Numerical modelling of permafrost protection around steel-concrete composite wall for small modular reactor applications L Sun, Y Ding, R Rachev, S Jaffer | | |
