| A convolutional neural network model for abnormality diagnosis in a nuclear power plant G Lee, SJ Lee, C Lee Applied Soft Computing 99, 106874, 2021 | 67 | 2021 |
| Technology opportunity analysis based on recombinant search: patent landscape analysis for idea generation C Lee, G Lee Scientometrics 121 (2), 603-632, 2019 | 40 | 2019 |
| A convolutional neural network model for SOH estimation of Li-ion batteries with physical interpretability G Lee, D Kwon, C Lee Mechanical Systems and Signal Processing 188, 110004, 2023 | 32 | 2023 |
| Abnormality diagnosis model for nuclear power plants using two-stage gated recurrent units JM Kim, G Lee, C Lee, SJ Lee Nuclear Engineering and Technology 52 (9), 2009-2016, 2020 | 32 | 2020 |
| State-of-health estimation of Li-ion batteries in the early phases of qualification tests: An interpretable machine learning approach G Lee, J Kim, C Lee Expert Systems with Applications 197, 116817, 2022 | 27 | 2022 |
| Towards expert–machine collaborations for technology valuation: An interpretable machine learning approach J Kim, G Lee, S Lee, C Lee Technological Forecasting and Social Change 183, 121940, 2022 | 12 | 2022 |
| A sequential pattern mining approach to identifying potential areas for business diversification G Lee, D Kim, C Lee Asian Journal of Technology Innovation 28 (1), 21-41, 2020 | 10 | 2020 |
| Inventor–licensee matchmaking for university technology licensing: A fastText approach G Lee, S Lee, C Lee Technovation 125, 102765, 2023 | 3 | 2023 |
| Input Data Dimensionality Reduction of Abnormality Diagnosis Model for Nuclear Power Plants JM Kim, G Lee, S Hong, SJ Lee Intelligent Human Systems Integration 2019: Proceedings of the 2nd …, 2019 | 2 | 2019 |
| Abnormal State Identifying Algorithm Using Recurrent Neural Network JM Kim, GM Lee, S Hong, SJ Lee KNS-2018, Korean Nuclear Society, 2018 | 2 | 2018 |
