| Structural damage identification based on autoencoder neural networks and deep learning CSN Pathirage, J Li, L Li, H Hao, W Liu, P Ni Engineering structures 172, 13-28, 2018 | 386 | 2018 |
| Development and application of a deep learning–based sparse autoencoder framework for structural damage identification CSN Pathirage, J Li, L Li, H Hao, W Liu, R Wang Structural Health Monitoring 18 (1), 103-122, 2019 | 138 | 2019 |
| Integrated soft ionotronic skin with stretchable and transparent hydrogel–elastomer ionic sensors for hand-motion monitoring G Gu, H Xu, S Peng, L Li, S Chen, T Lu, X Guo Soft robotics 6 (3), 368-376, 2019 | 125 | 2019 |
| An emergency response decision support system framework for application in e-government S Shan, L Wang, L Li, Y Chen Information Technology and Management 13 (4), 411-427, 2012 | 98 | 2012 |
| Computer vision based target-free 3D vibration displacement measurement of structures Y Shao, L Li, J Li, S An, H Hao Engineering Structures 246, 113040, 2021 | 96 | 2021 |
| A smartphone-based obstacle sensor for the visually impaired E Peng, P Peursum, L Li, S Venkatesh Ubiquitous Intelligence and Computing: 7th International Conference, UIC …, 2010 | 93 | 2010 |
| Learning and measuring specialization in collaborative swarm systems L Li, A Martinoli, YS Abu-Mostafa Adaptive Behavior 12 (3-4), 199-212, 2004 | 88 | 2004 |
| Bayesian subset simulation J Bect, L Li, E Vazquez SIAM/ASA Journal on Uncertainty Quantification 5 (1), 762-786, 2017 | 84 | 2017 |
| Using MLP networks to design a production scheduling system S Feng, L Li, L Cen, J Huang Computers & Operations Research 30 (6), 821-832, 2003 | 71 | 2003 |
| Hidden message in a deformation-based texture J Xu, X Mao, X Jin, A Jaffer, S Lu, L Li, M Toyoura The Visual Computer 31, 1653-1669, 2015 | 68 | 2015 |
| A multi-layered reflection model of natural human skin C So-Ling, L Li Proceedings. Computer Graphics International 2001, 249-256, 2001 | 60 | 2001 |
| Camera calibration using one-dimensional information and its applications in both controlled and uncontrolled environments E Peng, L Li Pattern Recognition 43 (3), 1188-1198, 2010 | 59 | 2010 |
| Multiple schemes for mobile payment authentication using QR code and visual cryptography J Lu, Z Yang, L Li, W Yuan, L Li, CC Chang Mobile Information Systems 2017 (1), 4356038, 2017 | 58 | 2017 |
| Stretchable e-skin patch for gesture recognition on the back of the hand S Jiang, L Li, H Xu, J Xu, G Gu, PB Shull IEEE Transactions on Industrial Electronics 67 (1), 647-657, 2019 | 54 | 2019 |
| Deep residual network framework for structural health monitoring R Wang, Chencho, S An, J Li, L Li, H Hao, W Liu Structural Health Monitoring 20 (4), 1443-1461, 2021 | 53 | 2021 |
| An aesthetic QR code solution based on error correction mechanism L Li, J Qiu, J Lu, CC Chang Journal of Systems and Software 116, 85-94, 2016 | 53 | 2016 |
| SkinGest: artificial skin for gesture recognition via filmy stretchable strain sensors L Li, S Jiang, PB Shull, G Gu Advanced Robotics 32 (21), 1112-1121, 2018 | 52 | 2018 |
| Prediction of BLEVE blast loading using CFD and artificial neural network J Li, Q Li, H Hao, L Li Process Safety and Environmental Protection 149, 711-723, 2021 | 51 | 2021 |
| Densely connected convolutional networks for vibration based structural damage identification R Wang, J Li, S An, H Hao, W Liu, L Li Engineering Structures 245, 112871, 2021 | 49 | 2021 |
| A comparative study on the most effective machine learning model for blast loading prediction: From GBDT to Transformer Q Li, Y Wang, Y Shao, L Li, H Hao Engineering Structures 276, 115310, 2023 | 45 | 2023 |
