| Image reconstruction based on convolutional neural network for electrical resistance tomography C Tan, S Lv, F Dong, M Takei IEEE Sensors Journal 19 (1), 196-204, 2018 | 215 | 2018 |
| Identification of gas/liquid two-phase flow regime through ERT-based measurement and feature extraction C Tan, F Dong, M Wu Flow Measurement and Instrumentation 18 (5-6), 255-261, 2007 | 139 | 2007 |
| A two-stage deep learning method for robust shape reconstruction with electrical impedance tomography S Ren, K Sun, C Tan, F Dong IEEE Transactions on Instrumentation and Measurement 69 (7), 4887-4897, 2019 | 108 | 2019 |
| Efficient multitask structure-aware sparse Bayesian learning for frequency-difference electrical impedance tomography S Liu, Y Huang, H Wu, C Tan, J Jia IEEE Transactions on industrial informatics 17 (1), 463-472, 2020 | 105 | 2020 |
| Ultrasonic Doppler technique for application to multiphase flows: A review C Tan, Y Murai, W Liu, Y Tasaka, F Dong, Y Takeda International Journal of Multiphase Flow 144, 103811, 2021 | 85 | 2021 |
| An ultrasonic transmission/reflection tomography system for industrial multiphase flow imaging C Tan, X Li, H Liu, F Dong IEEE Transactions on Industrial Electronics 66 (12), 9539-9548, 2019 | 76 | 2019 |
| Design of a conductance and capacitance combination sensor for water holdup measurement in oil–water two-phase flow H Wu, C Tan, X Dong, F Dong Flow measurement and instrumentation 46, 218-229, 2015 | 70 | 2015 |
| Characterization of oil–water two-phase pipe flow with a combined conductivity/capacitance sensor and wavelet analysis C Tan, P Li, W Dai, F Dong Chemical Engineering Science 134, 153-168, 2015 | 66 | 2015 |
| Electrical resistance tomography image reconstruction with densely connected convolutional neural network F Li, C Tan, F Dong IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 63 | 2020 |
| Conductance sensors for multiphase flow measurement: A review X Shi, C Tan, F Dong, EN dos Santos, MJ da Silva IEEE Sensors journal 21 (11), 12913-12925, 2020 | 60 | 2020 |
| Oil–water two-phase flow velocity measurement with continuous wave ultrasound Doppler X Dong, C Tan, Y Yuan, F Dong Chemical Engineering Science 135, 155-165, 2015 | 59 | 2015 |
| V-net deep imaging method for electrical resistance tomography F Li, C Tan, F Dong, J Jia IEEE Sensors Journal 20 (12), 6460-6469, 2020 | 57 | 2020 |
| A wideband electrical impedance tomography system based on sensitive bioimpedance spectrum bandwidth C Tan, S Liu, J Jia, F Dong IEEE Transactions on Instrumentation and Measurement 69 (1), 144-154, 2019 | 55 | 2019 |
| Dispersed oil–water two-phase flow measurement based on pulse-wave ultrasonic Doppler coupled with electrical sensors W Liu, C Tan, X Dong, F Dong, Y Murai IEEE Transactions on Instrumentation and Measurement 67 (9), 2129-2142, 2018 | 51 | 2018 |
| Measurement of oil–water two-phase flow phase fraction with ultrasound attenuation Q Su, C Tan, F Dong IEEE Sensors Journal 18 (3), 1150-1159, 2017 | 51 | 2017 |
| High GVF and low pressure gas–liquid two-phase flow measurement based on dual-cone flowmeter F Zhang, F Dong, C Tan Flow Measurement and Instrumentation 21 (3), 410-417, 2010 | 51 | 2010 |
| Gas–liquid two-phase flow velocity measurement with continuous wave ultrasonic Doppler and conductance sensor X Dong, C Tan, F Dong IEEE Transactions on Instrumentation and Measurement 66 (11), 3064-3076, 2017 | 48 | 2017 |
| Measuring oil–water two-phase flow velocity with continuous-wave ultrasound Doppler sensor and drift-flux model X Dong, C Tan, Y Yuan, F Dong IEEE Transactions on Instrumentation and Measurement 65 (5), 1098-1107, 2015 | 47 | 2015 |
| A Kalman estimation based oil–water two-phase flow measurement with CRCC C Tan, W Dai, H Yeung, F Dong International Journal of Multiphase Flow 72, 306-317, 2015 | 47 | 2015 |
| Horizontal oil–water two-phase flow measurement with information fusion of conductance ring sensor and cone meter C Tan, H Wu, F Dong Flow Measurement and Instrumentation 34, 83-90, 2013 | 46 | 2013 |
Shangjie RenAssociate Professor, Tianjin University, China在 tju.edu.cn 的电子邮件经过验证
