| Deep learning analysis on microscopic imaging in materials science M Ge, F Su*, Z Zhao*, D Su* Materials Today Nano, 100087, 2020 | 160 | 2020 |
| A depth optimization method for 2D-to-3D conversion based on RGB-D images C Hua, L Tao, G Mengshu, Z Bojin 2014 4th IEEE International Conference on Network Infrastructure and Digital …, 2014 | 9 | 2014 |
| Ensemble Machine‐Learning‐Based Analysis for In Situ Electron Diffraction M Ge, X Liu, Z Zhao, F Su, L Gu, D Su Advanced Theory and Simulations, 2100337, 2022 | 7 | 2022 |
| Deep Learning Based Atom Segmentation and Noise and Missing-Wedge Reduction for Electron Tomography M Ge, HL Xin Microscopy and Microanalysis 24 (S1), 504-505, 2018 | 6 | 2018 |
| Severe Precipitation Recognition Using Attention-UNet of Multichannel Doppler Radar W Chen, W Hua, M Ge, F Su, N Liu, Y Liu, A Xiong Remote Sensing 15 (4), 1111, 2023 | 5 | 2023 |
| Atomically Resolved Transition Pathways of Iron Redox X Liu, Y Pan, J Zhao, Y Wang, M Ge, L Qian, L Zhang, L Gu, D Zhou, D Su Journal of the American Chemical Society, 2024 | | 2024 |
| Automatic Center Identification of Electron Diffraction with Multi-scale Transformer Networks M Ge, Y Pan, X Liu, Z Zhao, D Su Ultramicroscopy, 113926, 2024 | | 2024 |
