| Particle deposition and aggregation: measurement, modelling and simulation M Elimelech, J Gregory, X Jia Butterworth-Heinemann, 2013 | 3102 | 2013 |
| Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook RS Peres, X Jia, J Lee, K Sun, AW Colombo, J Barata IEEE access 8, 220121-220139, 2020 | 542 | 2020 |
| Machinery fault diagnosis with imbalanced data using deep generative adversarial networks W Zhang, X Li, XD Jia, H Ma, Z Luo, X Li Measurement 152, 107377, 2020 | 328 | 2020 |
| A packing algorithm for particles of arbitrary shapes X Jia, RA Williams Powder technology 120 (3), 175-186, 2001 | 320 | 2001 |
| A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery M Zhao, X Jia Mechanical Systems and Signal Processing 94, 129-147, 2017 | 271 | 2017 |
| Combining X-ray microtomography with computer simulation for analysis of granular and porous materials R Moreno-Atanasio, RA Williams, X Jia Particuology 8 (2), 81-99, 2010 | 183 | 2010 |
| Gaussian process regression for numerical wind speed prediction enhancement H Cai, X Jia, J Feng, W Li, YM Hsu, J Lee Renewable energy 146, 2112-2123, 2020 | 166 | 2020 |
| Validation of a digital packing algorithm in predicting powder packing densities X Jia, M Gan, RA Williams, D Rhodes Powder Technology 174 (1-2), 10-13, 2007 | 144 | 2007 |
| Quality analysis in metal additive manufacturing with deep learning X Li, X Jia, Q Yang, J Lee Journal of Intelligent Manufacturing 31 (8), 2003-2017, 2020 | 138 | 2020 |
| Wind turbine performance degradation assessment based on a novel similarity metric for machine performance curves X Jia, C Jin, M Buzza, W Wang, J Lee Renewable Energy 99, 1191-1201, 2016 | 137 | 2016 |
| Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation X Li, XD Jia, W Zhang, H Ma, Z Luo, X Li Neurocomputing 383, 235-247, 2020 | 119 | 2020 |
| Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox M Zhao, X Jia, J Lin, Y Lei, J Lee Mechanical Systems and Signal Processing 98, 16-31, 2018 | 119 | 2018 |
| Sparse filtering with the generalized lp/lq norm and its applications to the condition monitoring of rotating machinery X Jia, M Zhao, Y Di, P Li, J Lee Mechanical Systems and Signal Processing 102, 198-213, 2018 | 118 | 2018 |
| Assessment of data suitability for machine prognosis using maximum mean discrepancy X Jia, M Zhao, Y Di, Q Yang, J Lee IEEE transactions on industrial electronics 65 (7), 5872-5881, 2017 | 118 | 2017 |
| Predicting packing characteristics of particles of arbitrary shapes M Gan, N Gopinathan, X Jia, RA Williams KONA Powder and Particle Journal 22, 82-93, 2004 | 113 | 2004 |
| Industrial monitoring of hydrocyclone operation using electrical resistance tomography RA Williams, X Jia, RM West, M Wang, JC Cullivan, J Bond, I Faulks, ... Minerals Engineering 12 (10), 1245-1252, 1999 | 111 | 1999 |
| Characterisation of granule structure and strength made in a high shear granulator N Rahmanian, M Ghadiri, X Jia, F Stepanek Powder Technology 192 (2), 184-194, 2009 | 110 | 2009 |
| Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion Y Pan, R Hong, J Chen, J Singh, X Jia Mechanism and machine theory 137, 509-526, 2019 | 107 | 2019 |
| Prognosability study of ball screw degradation using systematic methodology P Li, X Jia, J Feng, H Davari, G Qiao, Y Hwang, J Lee Mechanical Systems and Signal Processing 109, 45-57, 2018 | 104 | 2018 |
| Tea tree oil nanoemulsions for inhalation therapies of bacterial and fungal pneumonia M Li, L Zhu, B Liu, L Du, X Jia, L Han, Y Jin Colloids and Surfaces B: Biointerfaces 141, 408-416, 2016 | 99 | 2016 |