Online Real-Time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors PK Rao, JP Liu, D Roberson, ZJ Kong, C Williams ASME Trans. Journal of Manufacturing Science and Engineering 137 (6), 061007, 2015 | 318 | 2015 |
Time series forecasting for nonlinear and non-stationary processes: a review and comparative study C Cheng, A Sa-Ngasoongsong, O Beyca, T Le, H Yang, ZJ Kong, ... IISE Transactions 47 (10), 1053-1071, 2015 | 243 | 2015 |
Image analysis-based closed loop quality control for additive manufacturing with fused filament fabrication C Liu, A Law, DM Roberson, ZJ Kong Journal of Manufacturing Systems 51, 75-86, 2019 | 187 | 2019 |
Classifying the Dimensional Variation in Additive Manufactured Parts from Laser-Scanned 3D Point Cloud Data using Machine Learning Approaches MS Tootooni, A Dsouza, R Donovan, PK Rao, ZJ Kong, P Borgesen ASME Trans. Journal of Manufacturing Science and Engineering 139 (9), 091005, 2017 | 161* | 2017 |
UseLearn: A novel checklist and usability evaluation method for eLearning systems by criticality metric analysis A Oztekin, ZJ Kong, O Uysal International Journal of Industrial Ergonomics 40 (4), 455-469, 2010 | 150 | 2010 |
Predicting the graft survival for heart–lung transplantation patients: an integrated data mining methodology A Oztekin, D Delen, ZJ Kong International journal of medical informatics 78 (12), e84-e96, 2009 | 147 | 2009 |
Stream-of-variation (SOVA) modeling II: a generic 3D variation model for rigid body assembly in multistation assembly processes W Huang, J Lin, ZJ Kong, D Ceglarek ASME Trans. Journal of manufacturing science and engineering 129 (4), 832-842, 2007 | 146 | 2007 |
In situ investigation into temperature evolution and heat generation during additive friction stir deposition: A comparative study of Cu and Al-Mg-Si D Garcia, WD Hartley, HA Rauch, RJ Griffiths, R Wang, ZJ Kong, Y Zhu, ... Additive Manufacturing 34, 101386, 2020 | 127 | 2020 |
Stream-of-variation modeling—Part I: A generic three-dimensional variation model for rigid-body assembly in single station assembly processes W Huang, J Lin, M Bezdecny, Z Kong, D Ceglarek | 110 | 2007 |
A Machine Learning-based Approach to Prognostic Analysis of Thoracic Transplantations D Delen, A Oztekin, ZJ Kong Artificial Intelligence in Medicine 49 (1), 33-42, 2010 | 95 | 2010 |
An online sparse estimation-based classification approach for real-time monitoring in advanced manufacturing processes from heterogeneous sensor data K Bastani, P Rao, ZJ Kong IISE Transaction 48 (7), 579-598, 2016 | 74 | 2016 |
Real-Time Identification of Incipient Surface Morphology Variations in Ultraprecision Machining Process P Rao, S Bukkapatnam, O Beyca, ZJ Kong, R Komanduri ASME Trans. Journal of Manufacturing Science and Engineering 136 (2), 021008, 2014 | 74 | 2014 |
A robust ensemble-deep learning model for COVID-19 diagnosis based on an integrated CT scan images database M Maftouni, ACC Law, B Shen, ZJ Kong, Y Zhou, NA Yazdi IISE Annual Conference and Expo, 632-637, 2021 | 73 | 2021 |
Additive manufacturing of pharmaceuticals for precision medicine applications: A review of the promises and perils in implementation M Trivedi, J Jee, S Silva, C Blomgren, VM Pontinha, DL Dixon, ... Additive Manufacturing 23, 319-328, 2018 | 69 | 2018 |
Online non-contact surface finish measurement in machining using graph theory-based image analysis MS Tootooni, C Liu, D Roberson, R Donovan, PK Rao, ZJ Kong, ... Journal of Manufacturing Systems 41, 266-276, 2016 | 66 | 2016 |
Development of a structural equation modeling-based decision tree methodology for the analysis of lung transplantations A Oztekin, ZJ Kong, D Delen Decision Support Systems 51 (1), 155-166, 2011 | 65 | 2011 |
Assessment of Dimensional Integrity and Spatial Defect Localization in Additive Manufacturing (AM) using Spectral Graph Theory (SGT) P Rao, ZJ Kong, C Duty, R Smith, V Kunc, L Love ASME Trans. Journal of Manufacturing Science and Engineering, 2015 | 60 | 2015 |
A graph-theoretic approach for quantification of surface morphology variation and its application to chemical mechanical planarization process PK Rao, OF Beyca, ZJ Kong, STS Bukkapatnam, KE Case, R Komanduri IISE Transactions 47 (10), 1088-1111, 2015 | 59 | 2015 |
Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory OF Beyca, PK Rao, ZJ Kong, STS Bukkapatnam, R Komanduri IEEE Trans. on Automation Science and Engineering, 2015 | 59 | 2015 |
Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection Y Li, Z Shi, C Liu, W Tian, ZJ Kong, CB Williams IEEE Transactions on Automation Science and Engineering, 2021 | 57 | 2021 |