A review of modeling bioelectrochemical systems: engineering and statistical aspects S Luo, H Sun, Q Ping, R Jin, Z He Energies 9 (2), 111, 2016 | 86 | 2016 |
Unsupervised learning for the droplet evolution prediction and process dynamics understanding in inkjet printing J Huang, LJ Segura, T Wang, G Zhao, H Sun, C Zhou Additive Manufacturing 35, 101197, 2020 | 82 | 2020 |
Functional quantitative and qualitative models for quality modeling in a fused deposition modeling process H Sun, PK Rao, ZJ Kong, X Deng, R Jin IEEE Transactions on Automation Science and Engineering 15 (1), 393-403, 2017 | 50 | 2017 |
Quality modeling of printed electronics in aerosol jet printing based on microscopic images H Sun, K Wang, Y Li, C Zhang, R Jin Journal of Manufacturing Science and Engineering 139 (7), 071012, 2017 | 43 | 2017 |
A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors S Hajifar, H Sun, FM Megahed, LA Jones-Farmer, E Rashedi, LA Cavuoto Applied Ergonomics 90, 103262, 2021 | 39 | 2021 |
The impact of varying patient populations on the in-control performance of the risk-adjusted CUSUM chart W Tian, H Sun, X Zhang, WH Woodall International Journal for Quality in Health Care 27 (1), 31-36, 2015 | 37 | 2015 |
Logistic regression for crystal growth process modeling through hierarchical nonnegative garrote-based variable selection H Sun, X Deng, K Wang, R Jin Iie Transactions 48 (8), 787-796, 2016 | 28 | 2016 |
Manufacturing quality prediction using smooth spatial variable selection estimator with applications in aerosol jet® printed electronics manufacturing Y Li, H Sun, X Deng, C Zhang, HP Wang, R Jin IISE Transactions 52 (3), 321-333, 2020 | 27 | 2020 |
Cyber coordinated simulation for distributed multi-stage additive manufacturing systems H Sun, G Pedrielli, G Zhao, C Zhou, W Xu, R Pan Journal of manufacturing systems 57, 61-71, 2020 | 20 | 2020 |
Ensemble modeling of in situ features for printed electronics manufacturing with in situ process control potential Y Li, K Mohan, H Sun, R Jin IEEE Robotics and Automation Letters 2 (4), 1864-1870, 2017 | 20 | 2017 |
Functional graphical models for manufacturing process modeling H Sun, S Huang, R Jin IEEE Transactions on Automation Science and Engineering 14 (4), 1612-1621, 2017 | 20 | 2017 |
Nearest neighbor gaussian process emulation for multi-dimensional array responses in freeze nano 3d printing of energy devices LJ Segura, G Zhao, C Zhou, H Sun Journal of Computing and Information Science in Engineering 20 (4), 041005, 2020 | 19 | 2020 |
Non-invasive assessment of liver quality in transplantation based on thermal imaging analysis Q Lan, H Sun, J Robertson, X Deng, R Jin Computer methods and programs in biomedicine 164, 31-47, 2018 | 19 | 2018 |
Online droplet anomaly detection from streaming videos in inkjet printing LJ Segura, T Wang, C Zhou, H Sun Additive Manufacturing 38, 101835, 2021 | 18 | 2021 |
Geometric deep learning for shape correspondence in mass customization by three-dimensional printing J Huang, H Sun, TH Kwok, C Zhou, W Xu Journal of Manufacturing Science and Engineering 142 (6), 061003, 2020 | 17 | 2020 |
Ensemble engineering and statistical modeling for parameter calibration towards optimal design of microbial fuel cells H Sun, S Luo, R Jin, Z He Journal of Power Sources 356, 288-298, 2017 | 16 | 2017 |
Multitask lasso model for investigating multimodule design factors, operational factors, and covariates in tubular microbial fuel cells H Sun, S Luo, R Jin, Z He ACS Sustainable Chemistry & Engineering 3 (12), 3231-3238, 2015 | 16 | 2015 |
Quantifying the CVD-grown two-dimensional materials via image clustering Z Li, J Lee, F Yao, H Sun Nanoscale 13 (36), 15324-15333, 2021 | 13 | 2021 |
A data analytic end-to-end framework for the automated quantification of ergonomic risk factors across multiple tasks using a single wearable sensor SR Lamooki, S Hajifar, J Kang, H Sun, FM Megahed, LA Cavuoto Applied ergonomics 102, 103732, 2022 | 12 | 2022 |
Variation analysis and visualization of manufacturing processes via augmented reality X Chen, H Sun, R Jin Proceedings of the Industrial and Systems Engineering Research Conference, 2016 | 12 | 2016 |