| Year |
Citation |
Score |
| 2020 |
Wang D, Liu K, Zhang X, Wang H. Spatiotemporal Multitask Learning for 3-D Dynamic Field Modeling Ieee Transactions On Automation Science and Engineering. 17: 708-721. DOI: 10.1109/Tase.2019.2941736 |
0.321 |
|
| 2019 |
Du J, Zhang X, Shi J. A Condition Change Detection Method for Solar Conversion Efficiency in Solar Cell Manufacturing Processes Ieee Transactions On Semiconductor Manufacturing. 32: 82-92. DOI: 10.1109/Tsm.2018.2875011 |
0.497 |
|
| 2019 |
Du J, Zhang X, Shi J. A Physics-Specific Change Point Detection Method Using Torque Signals in Pipe Tightening Processes Ieee Transactions On Automation Science and Engineering. 16: 1289-1300. DOI: 10.1109/Tase.2018.2878961 |
0.506 |
|
| 2018 |
Song C, Liu K, Zhang X. Integration of Data-Level Fusion Model and Kernel Methods for Degradation Modeling and Prognostic Analysis Ieee Transactions On Reliability. 67: 640-650. DOI: 10.1109/Tr.2017.2715180 |
0.312 |
|
| 2018 |
Zhang X, Wang H, Chen S, Huang Q. A novel two-stage optimization approach to machining process selection using error equivalence method Journal of Manufacturing Systems. 49: 36-45. DOI: 10.1016/J.Jmsy.2018.07.009 |
0.431 |
|
| 2018 |
Du J, Zhang X, Xu X, Shi J. A novel critical point detection method for mechanical deformation in tightening processes Journal of Manufacturing Systems. 48: 157-165. DOI: 10.1016/J.Jmsy.2018.07.007 |
0.483 |
|
| 2018 |
Shireen T, Shao C, Wang H, Li J, Zhang X, Li M. Iterative multi-task learning for time-series modeling of solar panel PV outputs Applied Energy. 212: 654-662. DOI: 10.1016/J.Apenergy.2017.12.058 |
0.32 |
|
| 2017 |
Du J, Zhang X, Shi J. Pairwise Critical Point Detection Using Torque Signals in Threaded Pipe Connection Processes Journal of Manufacturing Science and Engineering-Transactions of the Asme. 139: 91002. DOI: 10.1115/1.4036992 |
0.469 |
|
| 2016 |
Yan H, Liu K, Zhang X, Shi J. Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions Ieee Transactions On Reliability. 65: 1416-1426. DOI: 10.1109/Tr.2016.2575449 |
0.459 |
|
| 2015 |
Chen L, Zhang X, Wang H. An obstructive sleep apnea detection approach using kernel density classification based on single-lead electrocardiogram. Journal of Medical Systems. 39: 47. PMID 25732075 DOI: 10.1007/S10916-015-0222-6 |
0.307 |
|
| 2015 |
Zhou C, Liu K, Zhang X, Zhang W, Shi J. An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes Ieee Transactions On Automation Science and Engineering. DOI: 10.1109/Tase.2015.2468058 |
0.5 |
|
| 2014 |
Liu K, Zhang X, Shi J. Adaptive Sensor Allocation Strategy for Process Monitoring and Diagnosis in a Bayesian Network Ieee Transactions On Automation Science and Engineering. 11: 452-462. DOI: 10.1109/Tase.2013.2287101 |
0.453 |
|
| 2010 |
Zhang X, Huang Q. Analysis of Interaction Structure Among Multiple Functional Process Variables for Process Control in Semiconductor Manufacturing Ieee Transactions On Semiconductor Manufacturing. 23: 263-272. DOI: 10.1109/Tsm.2010.2041580 |
0.431 |
|
| 2009 |
Zhang X, Wang H, Huang Q, Kumar A, Zhai J. Statistical and Experimental Analysis of Correlated Time-Varying Process Variables for Conditions Diagnosis in Chemical–Mechanical Planarization Ieee Transactions On Semiconductor Manufacturing. 22: 512-521. DOI: 10.1109/Tsm.2009.2028212 |
0.454 |
|
| 2009 |
Wang H, Zhang X, Kumar A, Huang Q. Nonlinear Dynamics Modeling of Correlated Functional Process Variables for Condition Monitoring in Chemical–Mechanical Planarization Ieee Transactions On Semiconductor Manufacturing. 22: 188-195. DOI: 10.1109/Tsm.2008.2011180 |
0.471 |
|
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