| 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 | 92 | 2020 |
| 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 | 89 | 2016 |
| 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 | 52 | 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 | 48 | 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 | 44 | 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 |
| 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 | 32 | 2020 |
| 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 | 31 | 2020 |
| 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 | 30 | 2016 |
| Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges F Dou, J Ye, G Yuan, Q Lu, W Niu, H Sun, L Guan, G Lu, G Mai, N Liu, ... arXiv preprint arXiv:2309.07438, 2023 | 22 | 2023 |
| 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 | 22 | 2017 |
| Online droplet anomaly detection from streaming videos in inkjet printing LJ Segura, T Wang, C Zhou, H Sun Additive Manufacturing 38, 101835, 2021 | 21 | 2021 |
| 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 | 20 | 2020 |
| 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 | 20 | 2020 |
| 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 |
| 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 |
| 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 | 17 | 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 | 17 | 2015 |
| Droplet evolution prediction in material jetting via tensor time series analysis LJ Segura, Z Li, C Zhou, H Sun Additive Manufacturing 66, 103461, 2023 | 15 | 2023 |
| Quantifying the CVD-grown two-dimensional materials via image clustering Z Li, J Lee, F Yao, H Sun Nanoscale 13 (36), 15324-15333, 2021 | 15 | 2021 |
