Image reconstruction by nonlinear Landweber iteration for complicated distributions Y Li, W Yang Measurement Science and Technology 19 (9), 094014, 2008 | 146 | 2008 |
Gas/oil/water flow measurement by electrical capacitance tomography Y Li, W Yang, C Xie, S Huang, Z Wu, D Tsamakis, C Lenn Measurement science and technology 24 (7), 074001, 2013 | 134 | 2013 |
Fast and robust 3D electrical capacitance tomography Y Li, DJ Holland Measurement Science and Technology 24 (10), 105406, 2013 | 71 | 2013 |
An Offshore Floating Wind–Solar–Aquaculture System: Concept Design and Extreme Response in Survival Conditions YLWL Xiangyuan Zheng, Huadong Zheng, Yu Lei Energies 13 (604), 2020 | 66 | 2020 |
Measurement of water content of oil-water two-phase flows using dual-frequency microwave method in combination with deep neural network C Zhao, G Wu, Y Li Measurement 131, 92-99, 2019 | 58 | 2019 |
A comparative study of 3D electrical capacitance tomography M Soleimani, HG Wang, Y Li, WQ Yang Int. J. Inf. Syst. Sci 3 (2), 292-306, 2007 | 57 | 2007 |
Long-distance pipeline safety early warning: a distributed optical fiber sensing semi-supervised learning method Y Yang, H Zhang, Y Li IEEE sensors journal 21 (17), 19453-19461, 2021 | 48 | 2021 |
Measurement of Gas-Oil Two-Phase Flow Patterns by Using CNN Algorithm Based on Dual ECT Sensors with Venturi Tube YL Zhuoqun Xu, Fan Wu, Xinmeng Yang Sensors 20, 2020 | 46 | 2020 |
A benchmark dataset and deep learning-based image reconstruction for electrical capacitance tomography J Zheng, J Li, Y Li, L Peng Sensors 18 (11), 3701, 2018 | 42 | 2018 |
Pipeline safety early warning by multifeature-fusion CNN and LightGBM analysis of signals from distributed optical fiber sensors Y Yang, H Zhang, Y Li IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 39 | 2021 |
Imaging conductive materials with high frequency electrical capacitance tomography Y Li, M Soleimani Measurement 46 (9), 3355-3361, 2013 | 38 | 2013 |
Early safety warnings for long-distance pipelines: A distributed optical fiber sensor machine learning approach Y Yang, Y Li, T Zhang, Y Zhou, H Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14991 …, 2021 | 35 | 2021 |
Coupling of fluid field and electrostatic field for electrical capacitance tomography J Ye, H Wang, Y Li, W Yang IEEE Transactions on Instrumentation and Measurement 64 (12), 3334-3353, 2015 | 34 | 2015 |
Flow adversarial networks: Flowrate prediction for gas–liquid multiphase flows across different domains D Hu, J Li, Y Liu, Y Li IEEE transactions on neural networks and learning systems 31 (2), 475-487, 2019 | 33 | 2019 |
Optimizing the geometry of three-dimensional electrical capacitance tomography sensors Y Li, DJ Holland IEEE sensors Journal 15 (3), 1567-1574, 2014 | 32 | 2014 |
Design of a magnetic induction tomography system by gradiometer coils for conductive fluid imaging J Xiang, Y Dong, M Zhang, Y Li IEEE Access 7, 56733-56744, 2019 | 31 | 2019 |
A non-linear reweighted total variation image reconstruction algorithm for electrical capacitance tomography K Li, TC Chandrasekera, Y Li, DJ Holland IEEE Sensors Journal 18 (12), 5049-5057, 2018 | 31 | 2018 |
LSTM model based on multi-feature extractor to detect flow pattern change characteristics and parameter measurement Z Xu, F Wu, L Zhu, Y Li IEEE Sensors Journal 21 (3), 3713-3721, 2020 | 30 | 2020 |
Image reconstruction algorithms for electrical capacitance tomography based on ROF model using new numerical techniques J Chen, M Zhang, Y Liu, J Chen, Y Li Measurement Science and Technology 28 (3), 035404, 2017 | 27 | 2017 |
Experimental measurement of oil–water two-phase flow by data fusion of electrical tomography sensors and venturi tube Y Liu, Y Deng, M Zhang, P Yu, Y Li Measurement Science and Technology 28 (9), 095301, 2017 | 26 | 2017 |