| Time series classification from scratch with deep neural networks: A strong baseline Z Wang, W Yan, T Oates 2017 International joint conference on neural networks (IJCNN), 1578-1585, 2017 | 545 | 2017 |
| Toward automatic time-series forecasting using neural networks W Yan IEEE transactions on neural networks and learning systems 23 (7), 1028-1039, 2012 | 168 | 2012 |
| On accurate and reliable anomaly detection for gas turbine combustors: A deep learning approach W Yan, L Yu arXiv preprint arXiv:1908.09238, 2019 | 112 | 2019 |
| System and method for equipment remaining life estimation KF Goebel, PP Bonissone, W Yan, NHW Eklund, F Xue US Patent 7,548,830, 2009 | 79* | 2009 |
| Method and system for performing model-based multi-objective asset optimization and decision-making RV Subbu, PP Bonissone, NH Eklund, NS Iyer, RP Shah, W Yan, ... US Patent 7,536,364, 2009 | 76 | 2009 |
| System and process for a fusion classification for insurance underwriting suitable for use by an automated system PP Bonissone, KS Aggour, RV Subbu, W Yan, NS Iyer, A Chakraborty US Patent 7,383,239, 2008 | 74 | 2008 |
| System and method for equipment life estimation KF Goebel, PP Bonissone, W Yan, NHW Eklund, F Xue, H Qiu US Patent 7,395,188, 2008 | 69 | 2008 |
| Method and apparatus for imaging a region of dynamic tissue W Yan, PM Edic, M Iatrou, KF Goebel, E Cesmeli US Patent 6,765,983, 2004 | 68* | 2004 |
| p-PIC: Parallel power iteration clustering for big data W Yan, U Brahmakshatriya, Y Xue, M Gilder, B Wise Journal of Parallel and Distributed computing 73 (3), 352-359, 2013 | 61 | 2013 |
| System and process for multivariate adaptive regression splines classification for insurance underwriting suitable for use by an automated system PP Bonissone, RP Messmer, RV Subbu, W Yan, A Chakraborty US Patent 7,813,945, 2010 | 55 | 2010 |
| An instance-based method for remaining useful life estimation for aircraft engines F Xue, P Bonissone, A Varma, W Yan, N Eklund, K Goebel Journal of failure analysis and prevention 8 (2), 199-206, 2008 | 55 | 2008 |
| System and process for a neural network classification for insurance underwriting suitable for use by an automated system P Bonissone, R Subbu, W Yan, A Chakraborty US Patent App. 10/425,610, 2004 | 53 | 2004 |
| Application of random forest to aircraft engine fault diagnosis W Yan The Proceedings of the Multiconference on" Computational Engineering in …, 2006 | 47 | 2006 |
| Choosing classifiers for decision fusion K Goebel, W Yan Proceedings of the Seventh International Conference on Information Fusion 1 …, 2004 | 47 | 2004 |
| Concrete condition assessment using impact-echo method and extreme learning machines JK Zhang, W Yan, DM Cui Sensors 16 (4), 447, 2016 | 43 | 2016 |
| Method and system for performing multi-objective predictive modeling, monitoring, and update for an asset R Subbu, P Bonissone, N Eklund, N Iyer, R Shah, W Yan, C Knodle, ... US Patent App. 11/117,596, 2006 | 43 | 2006 |
| Method and system to predict power plant performance RV Subbu, LM Fujita, W Yan, ND Ouellet, RJ Mitchell, PP Bonissone, ... US Patent App. 12/895,293, 2012 | 41 | 2012 |
| Preparation and in vitro–in vivo evaluation of double layer coated and matrix sustained release pellet formulations of diclofenac potassium J Fu, X Wang, L Xu, J Meng, Y Weng, G Li, H He, X Tang International journal of pharmaceutics 406 (1-2), 84-90, 2011 | 39 | 2011 |
| Correcting sensor drift and intermittency faults with data fusion and automated learning K Goebel, W Yan IEEE systems journal 2 (2), 189-197, 2008 | 39 | 2008 |
| Feature Extraction for Bearing Prognostics and Health Management (PHM)-A Survey (Preprint) W Yan, H Qiu, N Iyer AIR FORCE RESEARCH LAB WRIGHT-PATTERSON AFB OH MATERIALS AND MANUFACTURING …, 2008 | 37 | 2008 |
