| Heart disease and stroke statistics—2017 update: a report from the American Heart Association EJ Benjamin, MJ Blaha, SE Chiuve, M Cushman, SR Das, R Deo, ... circulation 135 (10), e146-e603, 2017 | 25596 | 2017 |
| A fuzzy set approach for event tree analysis D Huang, T Chen, MJJ Wang Fuzzy sets and systems 118 (1), 153-165, 2001 | 241 | 2001 |
| Ubiquitous manufacturing: Current practices, challenges, and opportunities T Chen, HR Tsai Robotics and computer-integrated manufacturing 45, 126-132, 2017 | 148 | 2017 |
| Intravenous alteplase for stroke with unknown time of onset guided by advanced imaging: systematic review and meta-analysis of individual patient data G Thomalla, F Boutitie, H Ma, M Koga, P Ringleb, LH Schwamm, O Wu, ... The Lancet 396 (10262), 1574-1584, 2020 | 144 | 2020 |
| Feasibility evaluation and optimization of a smart manufacturing system based on 3D printing: a review T Chen, YC Lin International Journal of Intelligent Systems 32 (4), 394-413, 2017 | 135 | 2017 |
| A fuzzy back propagation network for output time prediction in a wafer fab T Chen Applied Soft Computing 2 (3), 211-222, 2003 | 133 | 2003 |
| Advanced 3D printing technologies for the aircraft industry: a fuzzy systematic approach for assessing the critical factors YC Wang, T Chen, YL Yeh The International Journal of Advanced Manufacturing Technology 105, 4059-4069, 2019 | 129 | 2019 |
| An analytic approach to select data mining for business decision JL Seng, TC Chen Expert Systems with Applications 37 (12), 8042-8057, 2010 | 120 | 2010 |
| A fuzzy-neural system incorporating unequally important expert opinions for semiconductor yield forecasting T Chen, YC Lin International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2008 | 109 | 2008 |
| Quality control issues in 3D-printing manufacturing: a review HC Wu, TCT Chen Rapid Prototyping Journal 24 (3), 607-614, 2018 | 108 | 2018 |
| Forecasting methods using fuzzy concepts T Chen, MJJ Wang Fuzzy sets and systems 105 (3), 339-352, 1999 | 95 | 1999 |
| Lot cycle time prediction in a ramping-up semiconductor manufacturing factory with a SOM–FBPN-ensemble approach with multiple buckets and partial normalization T Chen, YC Wang, HR Tsai The International Journal of Advanced Manufacturing Technology 42, 1206-1216, 2009 | 82 | 2009 |
| Long-term load forecasting by a collaborative fuzzy-neural approach T Chen, YC Wang International Journal of Electrical Power & Energy Systems 43 (1), 454-464, 2012 | 76 | 2012 |
| Smart and automation technologies for ensuring the long-term operation of a factory amid the COVID-19 pandemic: an evolving fuzzy assessment approach T Chen, CW Lin The International Journal of Advanced Manufacturing Technology 111, 3545-3558, 2020 | 73 | 2020 |
| Strengthening the competitiveness and sustainability of a semiconductor manufacturer with cloud manufacturing T Chen Sustainability 6 (1), 251-266, 2014 | 70 | 2014 |
| Estimating simulation workload in cloud manufacturing using a classifying artificial neural network ensemble approach T Chen, YC Wang Robotics and Computer-Integrated Manufacturing 38, 42-51, 2016 | 67 | 2016 |
| Incorporating the FCM–BPN approach with nonlinear programming for internal due date assignment in a wafer fabrication plant T Chen, YC Wang Robotics and Computer-Integrated Manufacturing 26 (1), 83-91, 2010 | 66 | 2010 |
| A collaborative fuzzy-neural approach for long-term load forecasting in Taiwan T Chen Computers & Industrial Engineering 63 (3), 663-670, 2012 | 65 | 2012 |
| An intelligent hybrid system for wafer lot output time prediction T Chen Advanced Engineering Informatics 21 (1), 55-65, 2007 | 64 | 2007 |
| A hybrid SOM-BPN approach to lot output time prediction in a wafer fab T Chen Neural Processing Letters 24, 271-288, 2006 | 61 | 2006 |
