| Adaptive core fusion-based density peak clustering for complex data with arbitrary shapes and densities F Fang, L Qiu, S Yuan Pattern Recognition 107, 107452, 2020 | 54 | 2020 |
| Improved density peak clustering-based adaptive Gaussian mixture model for damage monitoring in aircraft structures under time-varying conditions L Qiu, F Fang, S Yuan Mechanical systems and signal processing 126, 281-304, 2019 | 54 | 2019 |
| Gaussian mixture model and delay-and-sum based 4D imaging of damage in aircraft composite structures under time-varying conditions Y Ren, L Qiu, S Yuan, F Fang Mechanical Systems and Signal Processing 135, 106390, 2020 | 49 | 2020 |
| An improved Gaussian mixture model for damage propagation monitoring of an aircraft wing spar under changing structural boundary conditions L Qiu, S Yuan, H Mei, F Fang Sensors 16 (3), 291, 2016 | 46 | 2016 |
| Gaussian mixture model–based path-synthesis accumulation imaging of guided wave for damage monitoring of aircraft composite structures under temperature variation Y Ren, L Qiu, S Yuan, F Fang Structural Health Monitoring 18 (1), 284-302, 2019 | 44 | 2019 |
| An enhanced dynamic Gaussian mixture model–based damage monitoring method of aircraft structures under environmental and operational conditions L Qiu, F Fang, S Yuan, C Boller, Y Ren Structural Health Monitoring 18 (2), 524-545, 2019 | 42 | 2019 |
| Dynamic probability modeling-based aircraft structural health monitoring framework under time-varying conditions: Validation in an in-flight test simulated on ground F Fang, L Qiu, S Yuan, Y Ren Aerospace Science and Technology 95, 105467, 2019 | 37 | 2019 |
| 机械结构健康监测综述 房芳， 郑辉， 汪玉， 邱雷 机械工程学报 57 (16), 269-292, 2021 | 18 | 2021 |
| Multi-damage imaging of composite structures under environmental and operational conditions using guided wave and Gaussian mixture model Y Ren, L Qiu, S Yuan, F Fang Smart Materials and Structures 28 (11), 115017, 2019 | 18 | 2019 |
| Adaptive GMM and OTWD-based structural crack quantification under random load F Fang, L Qiu, S Yuan, Y Meng, Q Xu, L Ouyang International Journal of Mechanical Sciences 246, 108157, 2023 | 11 | 2023 |
| Structural adaptive damage detection under uncertainty based on probability dissimilarity and moving average control chart F Fang, L Ouyang, Y Meng, Q Xu, J Chen, L Qiu Measurement 225, 114023, 2024 | 4 | 2024 |
| Simulation of guided wave under varying temperature and load conditions C Cheng, H Mei, V Giurgiutiu, S Yuan, F Fang, R James Health Monitoring of Structural and Biological Systems XIV 11381, 34-49, 2020 | 4 | 2020 |
| Adaptive Gaussian mixture model based structural damage monitoring method under time-varying conditions F Fang, Y Kang, L Qiu, S Yuan, K Yu, Z Xue Journal of Physics: Conference Series 2184 (1), 012034, 2022 | 1 | 2022 |
| Guided Wave-Gaussian Mixture Model based Damage Evaluation Method under Time-Varying Condition and Its Validation in a Full-Scale Aircraft Fatigue Test L Qiu, S Yuan, H Mi 8th European Workshop On Structural Health Monitoring [J], 2016 | 1 | 2016 |
| Online Damage Monitoring of Joint Structures with Gaussian Mixture Model Under Load Conditions O Li, F Fang, Q Lei China Aeronautical Science and Technology Conference, 401-408, 2023 | | 2023 |
| Four-dimensional imaging method for structural damage based on time-invariant characteristic signal L Qiu, REN Yuanqiang, Y Shenfang, F Fang US Patent 11,231,342, 2022 | | 2022 |
| Reliable Damage Monitoring Under Time-Varying Conditions Based on Gaussian Mixture Model and Delay-and-sum Imaging Y REN, LEI QIU, S YUAN, F FANG Structural Health Monitoring 2019, 2019 | | 2019 |
| Damage monitoring framework based on probability modeling under varying structural boundary conditions F Fang, L Qiu, S Yuan, Y Ren | | 2019 |
| 导波强化裂变聚合概率模型损伤监测方法 邱雷， 房芳， 袁慎芳， 梅寒飞 振动, 测试与诊断 38 (3), 438-445, 2018 | | 2018 |
| An Enhanced Guided Wave-Gaussian Mixture Model for Aircraft Structural Damage Monitoring under Varying Environmental and Operational Conditions LEI QIU, S YUAN, F FANG Structural Health Monitoring 2017, 2017 | | 2017 |