Review of the mathematical foundations of data fusion techniques in surface metrology J Wang, RK Leach, X Jiang Surface topography: metrology and properties 3 (2), 023001, 2015 | 73 | 2015 |
Fretting wear behavior of CuNiAl against 42CrMo4 under different lubrication conditions P Zhang, X Liu, W Lu, W Zhai, M Zhou, J Wang Tribology International 117, 59-67, 2018 | 61 | 2018 |
Intelligent sampling for the measurement of structured surfaces J Wang, X Jiang, LA Blunt, RK Leach, PJ Scott Measurement Science and Technology 23 (8), 085006, 2012 | 61 | 2012 |
Wear-triggered self-healing behavior on the surface of nanocrystalline nickel aluminum bronze/Ti3SiC2 composites W Zhai, W Lu, P Zhang, J Wang, X Liu, L Zhou Applied Surface Science 436, 1038-1049, 2018 | 60 | 2018 |
A new approach to numerical characterisation of wear particle surfaces in three-dimensions for wear study Y Tian, J Wang, Z Peng, X Jiang Wear 282, 59-68, 2012 | 45 | 2012 |
Influence of sample surface height for evaluation of peak extraction algorithms in confocal microscopy C Chen, J Wang, X Liu, W Lu, H Zhu, X Jiang Applied Optics 57 (22), 6516-6526, 2018 | 39 | 2018 |
Corrected parabolic fitting for height extraction in confocal microscopy C Chen, J Wang, R Leach, W Lu, X Liu, X Jiang Optics Express 27 (3), 3682-3697, 2019 | 35 | 2019 |
Uncertainty-guided intelligent sampling strategy for high-efficiency surface measurement via free-knot B-spline regression modelling W Lu, L Pagani, L Zhou, X Liu, J Wang, R Leach, XJ Jiang Precision Engineering 56, 38-52, 2019 | 34 | 2019 |
Study of weighted fusion methods for the measurement of surface geometry J Wang, L Pagani, RK Leach, W Zeng, BM Colosimo, L Zhou Precision Engineering 47, 111-121, 2017 | 32 | 2017 |
Numerical characterisation of biomedical titanium surface texture using novel feature parameters J Wang, X Jiang, E Gurdak, P Scott, R Leach, P Tomlins, L Blunt Wear 271 (7-8), 1059-1065, 2011 | 29 | 2011 |
Accurate and efficient height extraction in chromatic confocal microscopy using corrected fitting of the differential signal C Chen, W Yang, J Wang, W Lu, X Liu, X Jiang Precision Engineering 56, 447-454, 2019 | 28 | 2019 |
Characterization of the displacement response in chromatic confocal microscopy with a hybrid radial basis function network W Lu, C Chen, J Wang, R Leach, C Zhang, X Liu, Z Lei, W Yang, X Jiang Optics Express 27 (16), 22737-22752, 2019 | 26 | 2019 |
High-accuracy calibration of high-speed fringe projection profilometry using a checkerboard J Wang, Z Zhang, W Lu, XJ Jiang IEEE/ASME Transactions on Mechatronics 27 (5), 4199-4204, 2022 | 25 | 2022 |
Numerical analysis of cartilage surfaces for osteoarthritis diagnosis using field and feature parameters Y Tian, J Wang, Z Peng, X Jiang Wear 271 (9-10), 2370-2378, 2011 | 22 | 2011 |
Wear performance of metal materials fabricated by powder bed fusion: a literature review H Qin, R Xu, P Lan, J Wang, W Lu Metals 10 (3), 304, 2020 | 19 | 2020 |
Wear characterisation of articular cartilage surfaces at a nano-scale using atomic force microscopy M Wang, Z Peng, J Wang, X Jiang Tribology International 63, 235-242, 2013 | 17 | 2013 |
Distortion-free intelligent sampling of sparse surfaces via locally refined T-spline metamodelling J Wang, R Leach, R Chen, J Xu, XJ Jiang International Journal of Precision Engineering and Manufacturing-Green …, 2021 | 16 | 2021 |
Investigations on torsional fretting wear properties of CuAlNi processed by ultrasonic vibration-assisted milling X Chen, W Zhai, S Dong, K Zheng, R Xu, J Wang, X Liu, W Lu Tribology International 146, 106238, 2020 | 16 | 2020 |
Resolution enhancement for topography measurement of high-dynamic-range surfaces via image fusion J Wang, R Su, R Leach, W Lu, L Zhou, X Jiang Optics express 26 (26), 34805-34819, 2018 | 15 | 2018 |
Predicting running-in wear volume with a SVMR-based model under a small amount of training samples G Zhang, J Wang, S Chang Tribology International 128, 349-355, 2018 | 15 | 2018 |