| Three flexure hinges for compliant mechanism designs based on dimensionless graph analysis Y Tian, B Shirinzadeh, D Zhang, Y Zhong Precision Engineering 34 (1), 92-100, 2010 | 222 | 2010 |
| Multi-sensor optimal data fusion for INS/GPS/SAR integrated navigation system S Gao, Y Zhong, X Zhang, B Shirinzadeh Aerospace Science and Technology 13 (4-5), 232-237, 2009 | 215 | 2009 |
| A derivative UKF for tightly coupled INS/GPS integrated navigation G Hu, S Gao, Y Zhong ISA transactions 56, 135-144, 2015 | 194 | 2015 |
| A new direct filtering approach to INS/GNSS integration G Hu, W Wang, Y Zhong, B Gao, C Gu Aerospace Science and Technology 77, 755-764, 2018 | 165 | 2018 |
| Unscented Kalman filter with process noise covariance estimation for vehicular INS/GPS integration system G Hu, B Gao, Y Zhong, C Gu Information Fusion 64, 194-204, 2020 | 153 | 2020 |
| Covariance matching based adaptive unscented Kalman filter for direct filtering in INS/GNSS integration Y Meng, S Gao, Y Zhong, G Hu, A Subic Acta Astronautica 120, 171-181, 2016 | 150 | 2016 |
| Deformable models for surgical simulation: a survey J Zhang, Y Zhong, C Gu IEEE reviews in biomedical engineering 11, 143-164, 2017 | 142 | 2017 |
| Windowing and random weighting‐based adaptive unscented Kalman filter S Gao, G Hu, Y Zhong International Journal of Adaptive Control and Signal Processing 29 (2), 201-223, 2015 | 122 | 2015 |
| Maximum likelihood principle and moving horizon estimation based adaptive unscented Kalman filter B Gao, S Gao, G Hu, Y Zhong, C Gu Aerospace Science and Technology 73, 184-196, 2018 | 121 | 2018 |
| Laser interferometry-based guidance methodology for high precision positioning of mechanisms and robots B Shirinzadeh, PL Teoh, Y Tian, MM Dalvand, Y Zhong, HC Liaw Robotics and Computer-Integrated Manufacturing 26 (1), 74-82, 2010 | 119 | 2010 |
| Random weighting method for multisensor data fusion S Gao, Y Zhong, W Li IEEE Sensors Journal 11 (9), 1955-1961, 2011 | 114 | 2011 |
| Multi-sensor optimal data fusion for INS/GNSS/CNS integration based on unscented Kalman filter B Gao, G Hu, S Gao, Y Zhong, C Gu International Journal of Control, Automation and Systems 16, 129-140, 2018 | 96 | 2018 |
| Interacting multiple model estimation-based adaptive robust unscented Kalman filter B Gao, S Gao, Y Zhong, G Hu, C Gu International Journal of Control, Automation and Systems 15, 2013-2025, 2017 | 94 | 2017 |
| Robust adaptive filtering method for SINS/SAR integrated navigation system S Gao, Y Zhong, W Li Aerospace Science and Technology 15 (6), 425-430, 2011 | 91 | 2011 |
| Cubature Kalman filter with both adaptability and robustness for tightly-coupled GNSS/INS integration B Gao, G Hu, Y Zhong, X Zhu IEEE Sensors Journal 21 (13), 14997-15011, 2021 | 87 | 2021 |
| Modified strong tracking unscented Kalman filter for nonlinear state estimation with process model uncertainty G Hu, S Gao, Y Zhong, B Gao, A Subic International Journal of Adaptive Control and Signal Processing 29 (12 …, 2015 | 85 | 2015 |
| Multi-sensor optimal data fusion based on the adaptive fading unscented Kalman filter B Gao, G Hu, S Gao, Y Zhong, C Gu Sensors 18 (2), 488, 2018 | 79 | 2018 |
| Model predictive based unscented Kalman filter for hypersonic vehicle navigation with INS/GNSS integration G Hu, L Ni, B Gao, X Zhu, W Wang, Y Zhong IEEE Access 8, 4814-4823, 2019 | 72 | 2019 |
| Design and analysis of a compact flexure-based precision pure rotation stage without actuator redundancy L Clark, B Shirinzadeh, Y Zhong, Y Tian, D Zhang Mechanism and Machine Theory 105, 129-144, 2016 | 71 | 2016 |
| A hierarchically structured and constraint-based data model for intuitive and precise solid modeling in a virtual reality environment W Ma, Y Zhong, SK Tso, T Zhou Computer-Aided Design 36 (10), 903-928, 2004 | 70 | 2004 |
