| Semi-supervised Fisher discriminant analysis model for fault classification in industrial processes S Zhong, Q Wen, Z Ge Chemometrics and Intelligent Laboratory Systems 138, 203-211, 2014 | 72 | 2014 |
| A data-driven algorithm integrating clinical and laboratory features for the diagnosis and prognosis of necrotizing enterocolitis J Ji, XB Ling, Y Zhao, Z Hu, X Zheng, Z Xu, Q Wen, ZJ Kastenberg, P Li, ... PloS one 9 (2), e89860, 2014 | 72 | 2014 |
| Data‐based linear Gaussian state‐space model for dynamic process monitoring Q Wen, Z Ge, Z Song AIChE journal 58 (12), 3763-3776, 2012 | 71 | 2012 |
| Peptidomic identification of serum peptides diagnosing preeclampsia Q Wen, LY Liu, T Yang, C Alev, S Wu, DK Stevenson, G Sheng, AJ Butte, ... PloS one 8 (6), e65571, 2013 | 63 | 2013 |
| Integrating multiple ‘omics’ analyses identifies serological protein biomarkers for preeclampsia LY Liu, T Yang, J Ji, Q Wen, AA Morgan, B Jin, G Chen, DJ Lyell, ... BMC medicine 11, 1-12, 2013 | 62 | 2013 |
| Investigation of maternal environmental exposures in association with self-reported preterm birth CJ Patel, T Yang, Z Hu, Q Wen, J Sung, YY El-Sayed, H Cohen, J Gould, ... Reproductive Toxicology 45, 1-7, 2014 | 53 | 2014 |
| Multimode dynamic process monitoring based on mixture canonical variate analysis model Q Wen, Z Ge, Z Song Industrial & Engineering Chemistry Research 54 (5), 1605-1614, 2015 | 40 | 2015 |
| Recursive Gaussian mixture models for adaptive process monitoring J Zheng, Q Wen, Z Song Industrial & Engineering Chemistry Research 58 (16), 6551-6561, 2019 | 25 | 2019 |
| Real-time web-based assessment of total population risk of future emergency department utilization: statewide prospective active case finding study Z Hu, B Jin, AY Shin, C Zhu, Y Zhao, S Hao, L Zheng, C Fu, Q Wen, J Ji, ... Interactive journal of medical research 4 (1), e4022, 2015 | 23 | 2015 |
| Correlation analyses of clinical and molecular findings identify candidate biological pathways in systemic juvenile idiopathic arthritis XB Ling, C Macaubas, HC Alexander, Q Wen, E Chen, S Peng, Y Sun, ... BMC medicine 10, 1-15, 2012 | 17 | 2012 |
| Nonlinear fault detection based on locally linear embedding A Miao, Z Song, Z Ge, L Zhou, Q Wen Journal of Control Theory and Applications 11 (4), 615-622, 2013 | 15 | 2013 |
| Process monitoring based on generalized orthogonal neighborhood preserving embedding A Miao, Z Song, Q Wen, Z Ge IFAC Proceedings Volumes 45 (15), 148-153, 2012 | 10 | 2012 |
| Nonlinear dynamic process monitoring based on kernel partial least squares Q Wen, Z Ge, Z Song 2012 American Control Conference (ACC), 6650-6654, 2012 | 8 | 2012 |
| Cloud-based solution to identify statistically significant MS peaks differentiating sample categories J Ji, J Ling, H Jiang, Q Wen, JC Whitin, L Tian, HJ Cohen, XB Ling BMC research notes 6, 1-4, 2013 | 5 | 2013 |
| Dynamic process calibration based on sparse partial least squares Q Wen, Z Ge, Z Song, P Wang Proceeding of the 11th World Congress on Intelligent Control and Automation …, 2014 | 3 | 2014 |
| Methods of Prognosing Preeclampsia BX Ling, T Yang, AJ Butte, LL Miller, Q Wen, G Sheng, C Alev US Patent App. 14/773,300, 2016 | 1 | 2016 |
| Fault detection approach based on linear dynamical system in principal component space Q Wen, Z Song, A Miao Journal of Nanjing University of Aeronautics & Astronautics 43, 2011 | 1 | 2011 |
| Integrating multiple'omics' analyses identifies serological protein biomarkers for preeclampsia A Butte, LY Liu, T Yang, J Ji, Q Wen, AA Morgan, B Jin, G Chen, DJ Lyell, ... | | 2013 |
| Peptidomic Identification of Serum Peptides Diagnosing Preeclampsia A Butte, Q Wen, LY Liu, T Yang, C Alev, S Wu, DK Stevenson, G Sheng, ... | | 2013 |
| 642: Transcriptomics and proteomics ensemble analyses reveal serological protein panel for preeclampsia diagnosis L Liu, M Cooper, T Yang, J Ji, Q Wen, G Chen, A Morgan, D Stevenson, ... American Journal of Obstetrics & Gynecology 208 (1), S272, 2013 | | 2013 |
Song ZhihuanProfessor of Control Science & Engineering, Zhejiang UniversityПотвърден имейл адрес: zju.edu.cn