| Big data analytics in chemical engineering L Chiang, B Lu, I Castillo Annual review of chemical and biomolecular engineering 8 (1), 63-85, 2017 | 186 | 2017 |
| Data cleaning in the process industries S Xu, B Lu, M Baldea, TF Edgar, W Wojsznis, T Blevins, M Nixon Reviews in Chemical Engineering 31 (5), 453-490, 2015 | 120 | 2015 |
| Industrial PLS model variable selection using moving window variable importance in projection B Lu, I Castillo, L Chiang, TF Edgar Chemometrics and Intelligent Laboratory Systems 135, 90-109, 2014 | 71 | 2014 |
| Semi-supervised online soft sensor maintenance experiences in the chemical industry B Lu, L Chiang Journal of Process Control 67, 23-34, 2018 | 55 | 2018 |
| An improved variable selection method for support vector regression in NIR spectral modeling S Xu, B Lu, M Baldea, TF Edgar, M Nixon Journal of Process Control 67, 83-93, 2018 | 36 | 2018 |
| Image-based manufacturing analytics: Improving the accuracy of an industrial pellet classification system using deep neural networks R Rendall, I Castillo, B Lu, B Colegrove, M Broadway, LH Chiang, ... Chemometrics and Intelligent Laboratory Systems 180, 26-35, 2018 | 28 | 2018 |
| A unifying and integrated framework for feature oriented analysis of batch processes R Rendall, B Lu, I Castillo, ST Chin, LH Chiang, MS Reis Industrial & Engineering Chemistry Research 56 (30), 8590-8605, 2017 | 28 | 2017 |
| Batch trajectory synchronization with robust derivative dynamic time warping Y Zhang, B Lu, TF Edgar Industrial & Engineering Chemistry Research 52 (35), 12319-12328, 2013 | 22 | 2013 |
| Constrained selective dynamic time warping of trajectories in three dimensional batch data B Lu, S Xu, J Stuber, TF Edgar Chemometrics and Intelligent Laboratory Systems 159, 138-150, 2016 | 20 | 2016 |
| Integrated online virtual metrology and fault detection in plasma etch tools B Lu, J Stuber, TF Edgar Industrial & Engineering Chemistry Research 53 (13), 5172-5181, 2014 | 17 | 2014 |
| Outlier Detection in Dynamic Systems with Multiple Operating Points and Application to Improve Industrial Flare Monitoring S Xu, B Lu, N Bell, M Nixon Processes 5 (28), 2017 | 11 | 2017 |
| Data-driven adaptive multiple model system utilizing growing self-organizing maps B Lu, J Stuber, TF Edgar Journal of Process Control 67, 56-68, 2018 | 7 | 2018 |
| Advances in big data analytics at the dow chemical company L Chiang, B Lu, I Castillo 2017 6th International Symposium on Advanced Control of Industrial Processes …, 2017 | 4 | 2017 |
| Profile-driven features for offline quality prediction in batch processes R Rendall, B Lu, I Castillo, ST Chin, LH Chiang, MS Reis Computer Aided Chemical Engineering 40, 1501-1506, 2017 | 3 | 2017 |
| Improving process monitoring and modeling of batch-type plasma etching tools B Lu | 2 | 2015 |
| Image Classification in Manufacturing Analytics: Improving a Pellet Classification System with Deep Neural Networks R Rendall, I Castillo, B Lu, M Broadway, B Colegrove, L Chiang, M Reis 2018 Spring Meeting and 14th Global Congress on Process Safety, 2018 | | 2018 |
| Invited Tutorial Session-Approaches in Big Data Analytics I L Chiang, A Tulsyan 2018 Spring Meeting and 14th Global Congress on Process Safety, 2018 | | 2018 |
| Big Data Analytics for Batch Performance Improvement I Castillo, B Lu, L Chiang 2017 Spring Meeting and 13th Global Congress on Process Safety, 2017 | | 2017 |
| Lu, B., The University of Texas at Austin Stuber, J., Texas Instruments Edgar, TF, The University of Texas at Austin B Lu | | |
Ivan CastilloThe Dow Chemical Company在 dow.com 的电子邮件经过验证
