The internet of things for smart manufacturing: A review H Yang, S Kumara, STS Bukkapatnam, F Tsung IISE Transactions 51 (11), 1190-1216, 2019 | 378 | 2019 |
Time Series Forecasting for Nonlinear and Nonstationary Processes: A Review and Comparative Study C Cheng, A Sa-ngasoongsong, O Beyca, T Le, H Yang, Z Kong, ... IIE Transactions 47 (10), 1053-1071, 2015 | 240 | 2015 |
Multiscale recurrence quantification analysis of spatial cardiac vectorcardiogram signals H Yang IEEE Transactions on Biomedical Engineering 58 (2), 339-347, 2011 | 218 | 2011 |
From Process Condition to Build Quality through Modeling and Monitoring of In-process Layerwise Images in Laser Powder Bed Fusion Additive Manufacturing Process F Imani, A Gaikwad, M Montazeri, P Rao, H Yang, E Reutzel Journal of Manufacturing Science and Engineering, 2018 | 139* | 2018 |
Multifractal analysis of image profiles for the characterization and detection of defects in additive manufacturing B Yao, F Imani, AS Sakpal, EW Reutzel, H Yang Journal of Manufacturing Science and Engineering 140 (3), 031014, 2018 | 128 | 2018 |
Dynamics and performance modeling of multi-stage manufacturing systems using nonlinear stochastic differential equations U Mittal, H Yang, STS Bukkapatnam, LG Barajas 2008 IEEE International Conference on Automation Science and Engineering …, 2008 | 128 | 2008 |
Multiscale recurrence analysis of long-term nonlinear and nonstationary time series Y Chen, H Yang Chaos, Solitons & Fractals 45 (7), 978-987, 2012 | 124 | 2012 |
Linear affine transformations between 3-lead (Frank XYZ leads) vectorcardiogram and 12-lead electrocardiogram signals D Dawson, H Yang, M Malshe, STS Bukkapatnam, B Benjamin, ... Journal of electrocardiology 42 (6), 622-630, 2009 | 108 | 2009 |
Deep learning of Variant Geometry in Layerwise Imaging Profiles for Additive Manufacturing Quality Control F Imani, R Chen, EP Diewald, EW Reutzel, H Yang Journal of Manufacturing Science and Engineering 141 (11), 111001, 2019 | 97 | 2019 |
Spatiotemporal representation of cardiac vectorcardiogram (VCG) signals H Yang, STS Bukkapatnam, R Komanduri Biomedical engineering online 11 (1), 1-15, 2012 | 97 | 2012 |
Spatiotemporal differentiation of myocardial infarctions H Yang, C Kan, G Liu, Y Chen IEEE Transactions on Automation Science and Engineering 10 (4), 938-947, 2013 | 86 | 2013 |
Parallel computing and network analytics for fast Industrial Internet-of-Things (IIoT) machine information processing and condition monitoring C Kan, H Yang, S Kumara Journal of Manufacturing Systems 46, 282-293, 2018 | 85 | 2018 |
Layerwise in-process quality monitoring in laser powder bed fusion F Imani, A Gaikwad, M Montazeri, P Rao, H Yang, E Reutzel ASME 2018 13th International Manufacturing Science and Engineering …, 2018 | 80 | 2018 |
Nonlinear adaptive wavelet analysis of electrocardiogram signals H Yang, ST Bukkapatnam, R Komanduri Physical Review E 76 (2), 026214, 2007 | 70 | 2007 |
Markov decision process for image-guided additive manufacturing B Yao, F Imani, H Yang IEEE Robotics and Automation Letters 3 (4), 2792-2798, 2018 | 69 | 2018 |
Six-sigma Quality Management of Additive Manufacturing H Yang, P Rao, T Simpson, Y Lu, P Witherell, AR Nassar, E Reutzel, ... Proceedings of the IEEE, 1-43, 2020 | 62 | 2020 |
Calibrating functional parameters in the ion channel models of cardiac cells M Plumlee, VR Joseph, H Yang Journal of the American Statistical Association 111 (514), 500-509, 2016 | 62 | 2016 |
Self-organized neural network for the quality control of 12-lead ECG signals Y Chen, H Yang Physiological measurement 33 (9), 1399, 2012 | 62 | 2012 |
Identification of myocardial infarction (MI) using spatio-temporal heart dynamics H Yang, STS Bukkapatnam, T Le, R Komanduri Medical engineering & physics 34 (4), 485-497, 2012 | 61 | 2012 |
A hybrid deep learning model of process-build interactions in additive manufacturing RM Yazdi, F Imani, H Yang Journal of Manufacturing Systems 57, 460-468, 2020 | 54 | 2020 |