| Recent advances of artificial intelligence in manufacturing industrial sectors: A review SW Kim, JH Kong, SW Lee, S Lee International Journal of Precision Engineering and Manufacturing, 1-19, 2022 | 141 | 2022 |
| Knowledge Integration into deep learning in dynamical systems: an overview and taxonomy SW Kim, I Kim, J Lee, S Lee Journal of Mechanical Science and Technology 35, 1331-1342, 2021 | 51 | 2021 |
| Novel informed deep learning-based prognostics framework for on-board health monitoring of lithium-ion batteries SW Kim, KY Oh, S Lee Applied Energy 315, 119011, 2022 | 39 | 2022 |
| Modeling and prediction of lithium-ion battery thermal runaway via multiphysics-informed neural network SW Kim, E Kwak, JH Kim, KY Oh, S Lee Journal of Energy Storage 60, 106654, 2023 | 34 | 2023 |
| Single domain generalizable and physically interpretable bearing fault diagnosis for unseen working conditions I Kim, SW Kim, J Kim, H Huh, I Jeong, T Choi, J Kim, S Lee Expert Systems with Applications 241, 122455, 2024 | 30 | 2024 |
| Spider-inspired tunable mechanosensor for biomedical applications T Kim, I Hong, Y Roh, D Kim, S Kim, S Im, C Kim, K Jang, S Kim, M Kim, ... npj Flexible Electronics 7 (1), 12, 2023 | 25 | 2023 |
| Reliability-enhanced camera lens module classification using semi-supervised regression method SW Kim, YG Lee, BA Tama, S Lee Applied Sciences 10 (11), 3832, 2020 | 17 | 2020 |
| Estimating the phase volume fraction of multi-phase steel via unsupervised deep learning SW Kim, SH Kang, SJ Kim, S Lee Scientific reports 11 (1), 5902, 2021 | 11 | 2021 |
| Controlled production of monodisperse polycaprolactone microspheres using flow-focusing microfluidic device HJ Kwon, S Kim, S Kim, JH Kim, G Lim BioChip Journal 11, 214-218, 2017 | 9 | 2017 |
| 물리기반 인공신경망을 활용한 리튬이온 전지 열화 예측 김승욱， 오기용， 이승철 한국소음진동공학회논문집 31 (2), 177-184, 2021 | | 2021 |