| Vision-based target detection and localization via a team of cooperative UAV and UGVs S Minaeian, J Liu, YJ Son IEEE Transactions on systems, man, and cybernetics: systems 46 (7), 1005-1016, 2015 | 303 | 2015 |
| State space modeling for 3-D variation propagation in rigid-body multistage assembly processes J Liu, J Jin, J Shi IEEE Transactions on Automation Science and Engineering 7 (2), 274-290, 2009 | 101 | 2009 |
| Effective and efficient detection of moving targets from a UAV’s camera S Minaeian, J Liu, YJ Son IEEE transactions on intelligent transportation systems 19 (2), 497-506, 2018 | 98 | 2018 |
| A DDDAMS-based planning and control framework for surveillance and crowd control via UAVs and UGVs AM Khaleghi, D Xu, Z Wang, M Li, A Lobos, J Liu, YJ Son Expert Systems with Applications 40 (18), 7168-7183, 2013 | 82 | 2013 |
| Bayesian modeling of multi-state hierarchical systems with multi-level information aggregation M Li, J Liu, J Li, BU Kim Reliability Engineering & System Safety 124, 158-164, 2014 | 81 | 2014 |
| Improving the rapidity of responses to pipe burst in water distribution systems: A comparison of statistical process control methods D Jung, D Kang, J Liu, K Lansey Journal of Hydroinformatics 17 (2), 307-328, 2015 | 77 | 2015 |
| State space modeling of variation propagation in multistation machining processes considering machining-induced variations JV Abellan-Nebot, J Liu, FR Subirón, J Shi | 74 | 2012 |
| Quality prediction and compensation in multi-station machining processes using sensor-based fixtures JV Abellan-Nebot, J Liu, FR Subirón Robotics and Computer-Integrated Manufacturing 28 (2), 208-219, 2012 | 70 | 2012 |
| Variation reduction for multistage manufacturing processes: a comparison survey of statistical‐process‐control vs stream‐of‐variation methodologies J Liu Quality and Reliability Engineering International 26 (7), 645-661, 2010 | 65 | 2010 |
| Quality Assured Setup Planning Based on the Stream-of-Variation Model for Multi-Stage Machining Processes J Liu, J Shi, SJ Hu International Manufacturing Science and Engineering Conference 47624, 529-538, 2006 | 51 | 2006 |
| Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networks Z Guo, J Liu, J Skolnick, J Cheng Nature communications 13 (1), 6963, 2022 | 47 | 2022 |
| Predictive control considering model uncertainty for variation reduction in multistage assembly processes J Zhong, J Liu, J Shi IEEE Transactions on Automation Science and Engineering 7 (4), 724-735, 2010 | 46 | 2010 |
| Engineering-driven factor analysis for variation source identification in multistage manufacturing processes J Liu, J Shi, SJ Hu | 37 | 2008 |
| Software reliability growth modeling and analysis with dual fault detection and correction processes L Wang, Q Hu, J Liu IIE transactions 48 (4), 359-370, 2016 | 36 | 2016 |
| Design and risk evaluation of reliability demonstration test for hierarchical systems with multilevel information aggregation M Li, W Zhang, Q Hu, H Guo, J Liu IEEE Transactions on Reliability 66 (1), 135-147, 2016 | 31 | 2016 |
| DDDAMS-based crowd control via UAVs and UGVs Z Wang, M Li, AM Khaleghi, D Xu, A Lobos, C Vo, JM Lien, J Liu, YJ Son Procedia Computer Science 18, 2028-2035, 2013 | 31 | 2013 |
| Catalytic Enantioselective Aza-Piancatelli Rearrangement AB Gade, NT Patil Synlett 28 (09), 1096-1100, 2017 | 28 | 2017 |
| Process-oriented tolerancing using the extended stream of variation model JV Abellán-Nebot, J Liu, FR Subirón Computers in Industry 64 (5), 485-498, 2013 | 27 | 2013 |
| A DDDAMS-based UAV and UGV team formation approach for surveillance and crowd control AM Khaleghi, D Xu, S Minaeian, M Li, Y Yuan, J Liu, YJ Son, C Vo, ... Proceedings of the Winter Simulation Conference 2014, 2907-2918, 2014 | 26 | 2014 |
| Proportional hazard modeling for hierarchical systems with multi-level information aggregation M Li, Q Hu, J Liu IIE Transactions 46 (2), 149-163, 2014 | 26 | 2014 |
