| Damage detection techniques for wind turbine blades: A review Y Du, S Zhou, X Jing, Y Peng, H Wu, N Kwok Mechanical Systems and Signal Processing 141, 106445, 2020 | 281 | 2020 |
| Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms Q Liu, H Wu, MJ Paul, P He, Z Peng, B Gludovatz, JJ Kruzic, CH Wang, ... Acta Materialia 201, 316-328, 2020 | 154 | 2020 |
| Progress and trend of sensor technology for on-line oil monitoring TH Wu, HK Wu, Y Du, ZX Peng Science China Technological Sciences 56, 2914-2926, 2013 | 117 | 2013 |
| Imaged wear debris separation for on-line monitoring using gray level and integrated morphological features T Wu, H Wu, Y Du, N Kwok, Z Peng Wear 316 (1-2), 19-29, 2014 | 108 | 2014 |
| Full-life dynamic identification of wear state based on on-line wear debris image features T Wu, Y Peng, H Wu, X Zhang, J Wang Mechanical Systems and Signal Processing 42 (1-2), 404-414, 2014 | 79 | 2014 |
| Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process K Feng, WA Smith, RB Randall, H Wu, Z Peng Mechanical Systems and Signal Processing 165, 108319, 2022 | 75 | 2022 |
| A robust automated flower estimation system for grape vines S Liu, X Li, H Wu, B Xin, J Tang, PR Petrie, M Whitty Biosystems Engineering 172, 110-123, 2018 | 52 | 2018 |
| Oscillatory particle swarm optimizer H Shi, S Liu, H Wu, R Li, S Liu, N Kwok, Y Peng Applied Soft Computing 73, 316-327, 2018 | 45 | 2018 |
| Watershed-based morphological separation of wear debris chains for on-line ferrograph analysis H Wu, T Wu, Y Peng, Z Peng Tribology Letters 53, 411-420, 2014 | 43 | 2014 |
| Image de-hazing from the perspective of noise filtering S Liu, MA Rahman, CY Wong, CF Lin, H Wu, N Kwok Computers & Electrical Engineering 62, 345-359, 2017 | 35 | 2017 |
| A hybrid search-tree discriminant technique for multivariate wear debris classification Y Peng, T Wu, G Cao, S Huang, H Wu, N Kwok, Z Peng Wear 392, 152-158, 2017 | 34 | 2017 |
| A prototype of on-line extraction and three-dimensional characterisation of wear particle features from video sequence H Wu, NM Kwok, S Liu, T Wu, Z Peng Wear 368, 314-325, 2016 | 29 | 2016 |
| A novel cyclic-correntropy based indicator for gear wear monitoring K Feng, JC Ji, Y Li, Q Ni, H Wu, J Zheng Tribology International 171, 107528, 2022 | 28 | 2022 |
| Restoration of low-informative image for robust debris shape measurement in on-line wear debris monitoring H Wu, R Li, NM Kwok, Y Peng, T Wu, Z Peng Mechanical Systems and Signal Processing 114, 539-555, 2019 | 22 | 2019 |
| Restoration of defocused ferrograph images using a large kernel convolutional neural network H Wu, NM Kwok, S Liu, R Li, T Wu, Z Peng Wear 426, 1740-1747, 2019 | 19 | 2019 |
| Enhancement of low illumination images based on an optimal hyperbolic tangent profile S Liu, H Wu, MA Rahman, SCF Lin, CY Wong, N Kwok, H Shi computers & electrical engineering 70, 538-550, 2018 | 18 | 2018 |
| Three-dimensional backbone network for 3D object detection in traffic scenes X Li, J Guivant, N Kwok, Y Xu, R Li, H Wu arXiv preprint arXiv:1901.08373, 2019 | 17 | 2019 |
| Modeling wear state evolution using real-time wear debris features S Wang, T Wu, H Wu, N Kwok Tribology Transactions 60 (6), 1022-1032, 2017 | 16 | 2017 |
| Three-dimensional reconstruction of wear particles by multi-view contour fitting and dense point-cloud interpolation Y Peng, Z Wu, G Cao, S Wang, H Wu, C Liu, Z Peng Measurement 181, 109638, 2021 | 12 | 2021 |
| Study on vibration mechanism induced by skidding in pure rolling contact C Xu, T Wu, H Yang, H Wu, N Kwok Tribology International 154, 106669, 2021 | 11 | 2021 |
Ngaiming KwokThe University of New South WalesAdresse e-mail validée de unsw.edu.au
