| Application of soft computing techniques to multiphase flow measurement: A review Y Yan, L Wang, T Wang, X Wang, Y Hu, Q Duan Flow Measurement and Instrumentation 60, 30-43, 2018 | 138 | 2018 |
| Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – A state-of-the-art review Y Yan, TN Borhani, SG Subraveti, KN Pai, V Prasad, A Rajendran, ... Energy & Environmental Science, 2021 | 122 | 2021 |
| Gas-liquid Two-phase Flow Measurement Using Coriolis Flowmeters Incorporating Artificial Neural Network, Support Vector Machine and Genetic Programming Algorithms L Wang, J Liu, Y Yan, X Wang, T Wang IEEE Transactions on Instrumentation and Measurement, 2016 | 75 | 2016 |
| Rotational speed measurement through electrostatic sensing and correlation signal processing L Wang, Y Yan, Y Hu, X Qian IEEE Transactions on Instrumentation and measurement 63 (5), 1190-1199, 2013 | 64 | 2013 |
| Electrostatic sensors – Their principles and applications Y Yan, Y Hu, L Wang, X Qian, W Zhang, K Reda, I Wu, G Zheng Measurement 169, 108506, 2021 | 62 | 2021 |
| An integrated multi-channel electrostatic sensing and digital imaging system for the on-line measurement of biomass-coal particles in fuel injection pipelines X Qian, Y Yan, L Wang, J Shao Fuel 151, 2-10, 2015 | 49 | 2015 |
| Rotational speed measurement using single and dual electrostatic sensors L Wang, Y Yan, Y Hu, X Qian IEEE Sensors Journal 15 (3), 1784-1793, 2014 | 43 | 2014 |
| Quantitative characterization of pulverised coal and biomass-coal blends in pneumatic conveying pipelines using electrostatic sensor arrays and data fusion techniques X Qian, Y Yan, J Shao, L Wang, H Zhou, C Wang Measurement Science and Technology 23 (8), 085307, 2012 | 43 | 2012 |
| Mass flow measurement of gas-liquid two-phase CO2 in CCS transportation pipelines using Coriolis flowmeters L Wang, Y Yan, X Wang, T Wang, Q Duan, W Zhang International Journal of Greenhouse Gas Control 68, 269-275, 2018 | 33 | 2018 |
| Online sizing of pneumatically conveyed particles through acoustic emission detection and signal analysis Y Hu, L Wang, X Huang, X Qian, L Gao, Y Yan IEEE Transactions on Instrumentation and Measurement 64 (5), 1100-1109, 2014 | 33 | 2014 |
| Mathematical modelling and experimental validation of electrostatic sensors for rotational speed measurement L Wang, Y Yan Measurement Science and Technology 25 (11), 115101, 2014 | 27 | 2014 |
| Non-contact vibration monitoring of power transmission belts through electrostatic sensing Y Hu, Y Yan, L Wang, X Qian IEEE Sensors Journal 16 (10), 3541-3550, 2016 | 26 | 2016 |
| Rotational speed measurement through image similarity evaluation and spectral analysis T Wang, Y Yan, L Wang, Y Hu IEEE Access 6, 46718-46730, 2018 | 25 | 2018 |
| A smart electrostatic sensor for online condition monitoring of power transmission belts Y Hu, S Zhang, Y Y, L Wang, X Qian, L Yang IEEE Transactions on Industrial Electronics 64 (9), 7313-7322, 2017 | 25 | 2017 |
| Simultaneous Measurement of Belt Speed and Vibration through Electrostatic Sensing and Data Fusion Y Hu, Y Yan, L Wang, X Qian, X Wang IEEE Transactions on Instrumentation and Measurement 65 (5), 1130-1138, 2015 | 21 | 2015 |
| Input variable selection for data-driven models of Coriolis flowmeters for two-phase flow measurement L Wang, Y Yan, X Wang, T Wang Measurement Science and Technology, 2017 | 20 | 2017 |
| Rotational speed measurement through digital imaging and image processing Y Wang, L Wang, Y Yan IEEE International Instrumentation and Measurement Technology Conference …, 2017 | 17 | 2017 |
| Comparison of Single and Double Electrostatic Sensors for Rotational Speed Measurement L Wang, Y Yan, K Reda Sensors and Actuators A: Physical, 2017 | 15 | 2017 |
| A Miniature, Low-cost MEMS AHRS with Application to Posture Control of Robotic Fish Y Hu, Y Yan, J Liang, L Wang 2013 IEEE International Instrumentation and Measurement Technology …, 2013 | 14 | 2013 |
| Gas-liquid two-phase flow measurement using Coriolis flowmeters incorporating neural networks L Wang, Y Yan, J Liu, X Wang, T Wang 2016 IEEE International Instrumentation and Measurement Technology …, 2016 | 13 | 2016 |
Yong YanUniversity of KentVerified email at kent.ac.uk
