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[1] Xueyang
Tang, Xiaopei Cai, Yuqi Wang,
Pu Wang, Fei Yang. Advanced VTSDREF for vehicle-turnout system dynamic
reliability analysis: integration of hybrid deep learning and adaptive
probability density evolution method. Reliability Engineering & System
Safety, 2025, 256: 110762. (SCI检索，中科院1区，Top期刊，IF=11)
[2] Xueyang
Tang, Yi Wang, Xiaopei Cai, Fei
Yang, Yue Hou. Diagnosis of high-speed railway ballastless track arching based
on unsupervised learning framework. Computer-Aided Civil and Infrastructure
Engineering (封面论文), 2025, 40(11): 1445-1465. (SCI检索，中科院1区，Top期刊，IF=9.1)
[3] Xueyang
Tang, Xiaopei Cai, Yuqi Wang,
Yue Hou. LCRTR-Net: A low-cost real-time recognition network for rail
corrugation in railway transportation. Engineering Applications of Artificial
Intelligence, 2025,140: 109708. (SCI检索，中科院1区，Top期刊，IF=8)
[4] Xueyang
Tang, Zelin Chen, Xiaopei Cai,
Yi Wang. Ballastless track arching recognition based on one-dimensional
residual convolutional neural network and vehicle response. Construction and
Building Materials, 2023, 408: 133624. (SCI检索，中科院1区，Top期刊，IF=8)
[5] Xueyang
Tang, Xiaopei Cai, Yuqi Wang,
Fei Yang. An improved solution of the probability density evolution equation
for analyzing stochastic structural responses with adaptive time steps and
initial conditions. Engineering Structures, 2024, 321: 118917. (SCI检索，中科院1区，Top期刊，IF=6.4)
[6] Xueyang
Tang, Xiaopei Cai, Wanli Liu,
Jialin Sun, Fei Yang, Meng Wang. A novel model for vehicle/turnout nonlinear
random vibration analysis based on full probability irregularity spectrum,
Nonlinear Dynamics, 2024, 112: 16983-17005. (SCI检索，中科院2区，IF=6)
[7] Xueyang
Tang, Xiaopei Cai, Jingmang Xu,
Fei Yang. A full information expression model of track irregularity based on
stochastic harmonic functions in vehicle-turnout structure stochastic vibration
analysis, Railway Engineering Science,2025. (ESCI检索，中科院2区，IF=5.4)
[8] Xueyang
Tang, Xiaopei Cai, Yuqi Wang,
Fei Yang. Multi-scale analysis of the mapping relationship between turnout
irregularities and vehicle responses based on cross-wavelet transform, Journal
of Sound and Vibration, 2025, 600: 118884. (SCI检索，中科院2区，
IF=4.9)
[9] Xueyang
Tang, Xiaopei Cai, Hua Peng,
Chaozhi Ma, Wenhao Chang, Yufei Yao. Experimental and simulation investigation
into the cause and treatment of rail corrugation for metro. Journal of Central
South University, 2022, 29: 3925-3938. (SCI检索，中科院2区，IF=4.4)
[10] Xueyang
Tang, Qihao Wang, Xiaopei Cai,
Weihua Wang. Considering flexible wheel-rail coupling effects: An analysis of
the vibration and transmission characteristics of damped track. Journal of
Vibration and Control, 2024, 30(19-20): 4624-4636. (SCI检索，中科院3区，IF=2.4)
[11] Xueyang
Tang, Xiaopei Cai, Yuqi Wang,
Hua Peng, Yue Hou. Intelligent and convenient detection of micrometer-scale
rail corrugation. Civil-Comp Conferences, 2024, 7: 1-13. (The Sixth
International Conference on Railway Technology: Research, Development and
Maintenance)
[12]
Xiaopei
Cai, Xueyang Tang, Shuo Pan, Yi Wang, Hai Yan, Yuheng Ren, Ning Chen,
Yue Hou. Intelligent recognition of defects in high-speed railway slab track
with limited dataset. Computer-Aided Civil and Infrastructure Engineering,
2024, 39(6): 911-928. (SCI检索，中科院1区，Top期刊，IF=9.1)
[13]
Xiaopei
Cai, Xueyang Tang, Fei Yang, Tao Wang, Jialin Sun. Estimation of turnout
irregularities using vehicle responses with improved BiLSTM and Gaussian
process regression. Measurement, 2023, 221: 113513. (SCI检索，中科院2区，IF=5.6)
[14]
Xiaopei
Cai, Xueyang Tang, Yuqi Wang, Tao Wang, Fei Yang, Jialin Sun. Advanced
VTCDREM for dynamic reliability analysis of railway systems: integration of
fully probabilistic track irregularities and multifaceted random factors.
Journal of Sound and Vibration, 2024, 584: 118460. (SCI检索，中科院2区，IF=4.9)
[15]
Xiaopei
Cai, Xueyang Tang, Wenhao Chang, Tao Wang, Albert Lau, Zhipei Chen,
Luchao Qie. Machine learning-based rail corrugation recognition: a metro
vehicle response and noise perspective. Philosophical Transactions of the Royal
Society A-Mathematical Physical and Engineering Sciences, 2023, 381: 2254. (SCI检索，中科院3区，IF=3.7)
[16]
Yi Wang,
Xiaopei Cai, Xueyang Tang, Shuo Pan, Yuqi Wang. HSRA-Net: Intelligent
detection network of anomaly monitoring data in high-speed railway. IEEE
Transactions on Intelligent Transportation Systems, 2024, 1-11. (SCI检索，中科院1区，Top期刊，IF=8.4)
[17]
Zelin Chen,
Xiaopei Cai, Xueyang Tang, Meng Wang, Weibin Liu. A sensitive
wavelength-enhanced reconstruction algorithm for track quality assessment based
on measured data and vehicle dynamics. Measurement, 2025, 240, 115627. (SCI检索，中科院2区，IF=5.6)
[18]
Qihao Wang,
Xiaopei Cai, Xueyang Tang, Qian Zhang, Yuqi Wang. Application and
long-term effects of vibration reduction in CRTSIII slab track: Insights from
field measurements. Soil Dynamics and Earthquake Engineering, 2024, 179,
108518. (SCI检索，中科院2区，Top期刊，IF=4.6)
[19]
Xiaopei
Cai, Yuqi Wang, Xueyang Tang, Zhipei Chen. A method for predicting
vibration characteristics of track structure based on rail acceleration and
deep learning. International Journal of Rail Transportation. 2024, 1-21. (SCI检索，中科院2区，IF=3.5)
[20]
Yuqi Wang,
Xiaopei Cai, Wanli Liu, Xueyang Tang, Yiming Yao,Xianghui Cai. Seismic-induced damage characteristics of
high-speed railway ballastless tracks: A comprehensive nonlinear numerical
simulation method. Engineering Structures, 2025,
343, 121248. (SCI检索，中科院1区，Top期刊，IF=6.4)
[21]
Zhang Qian,
Xiaopei Cai, Yilin Zhong, Xueyang Tang, Tao Wang. Dynamic response
prediction of high-speed train on cable-stayed bridge based on genetic
algorithm and fused neural networks. Engineering Structures, 2024, 306, 117869. (SCI检索，中科院1区，Top期刊，IF=6.4)
[22]
Wenhao
Chang, Xiaopei Cai, Qihao Wang, Xueyang Tang, Jialin Sun, Fei Yang. The
Influence of Track Irregularity in Front of the Turnout on the Dynamic
Performance of Vehicles. Applied Sciences-Basel, 2022, 12(9), 4169. (SCI检索，中科院4区，IF=2.5)
[23]
Yuqi Wang,
Xiaopei Cai, Chuanzhen Zang, Qihao Wang, Xueyang Tang. Vibration impact
and reduction measures of high-speed trains meeting on precision instruments in
adjacent buildings.: Journal of Central South University, 2023, 30(9),
3097-3112. (SCI检索，中科院2区，IF=4.4)
[24]
Qihao Wang,
Xiaopei Cai, Yanli Qi, Zhang Qian, Xueyang Tang. Assessment of adjacent
building vibrations induced by metro with a multigrid fully coupled method.
Journal of Low Frequency Noise Vibration and Active Control, 2024,1-18. (SCI检索，中科院3区，IF=2.4)
[25]
Qihao Wang,
Xiaopei Cai, Qian Zhang, Yuqi Wang, Xueyang Tang. Assessment,
prediction, and mitigation of metro-induced vibrations for an opera theatre
adjacent to a station: a case study. Urban Rail Transit, 2023, 9(4), 281-293. (SCI检索，中科院3区，IF=2.9)
[26] 汤雪扬, 蔡小培, 王伟华, 常文浩, 王启好. 基于粒子概率神经网络算法的钢轨波磨识别[J]. 浙江大学学报(工学版),
2023, 57(09): 1766-1774.(EI检索)
[27] 汤雪扬, 蔡小培, 彭华, 马超智. 基于轮轨系统耦合振动的地铁钢轨波磨研究[J]. 中南大学学报(自然科学版),
2022, 53(08): 3232-3244. (EI检索)
[28] 汤雪扬, 蔡小培, 孙加林, 杨飞, 刘万里. 高速铁路道岔区轮轨力时频及统计分布特征研究[J].铁道学报,2025,47(03): 109-117. (EI检索)
[29] 汤雪扬, 蔡小培, 杨飞, 侯博文. 基于模型和数据驱动的高速道岔不平顺与车辆响应映射关系[J]. 铁道建筑, 2024, 64(08): 7-13. (北大核心，月度优秀论文)
[30]
彭华, 汤雪扬, 蔡小培,
孙天驰. 基于轨道振动特征的地铁钢轨波磨成因研究[J]. 铁道工程学报, 2021, 38(11):
41-46+66. (EI检索)
[31]
张榕欣, 蔡小培, 汤雪扬, 王一.超导电动磁浮道岔线形设计与侧向过岔速度优化[J].西南交通大学学报,2025,60(04):893-903. (EI检索)
[32]
王润丰, 蔡小培, 汤雪扬, 王启好.
地铁橡胶浮置板与无砟轨道过渡段刚度方案研究[J]. 铁道科学与工程学报, 2022,
19(10), 2884-2892. (EI检索)
[33]
彭华, 刘麦, 蔡小培, 汤雪扬. 地铁隧道内碎石道床轨道结构减振特性分析[J]. 北京交通大学学报, 2022, 46(03), 88-94. (北大核心)
[34]
黄河山, 王伟华, 姚宇飞, 汤雪扬, 王俊龙.
地铁曲线地段钢弹簧浮置板轨道钢轨波磨成因及控制方法[J]. 铁道标准设计, 2024, 68(07),
33-39. (北大核心)
[35]
彭华, 孙天驰, 蔡小培, 汤雪扬, 常文浩.
地铁短枕式整体道床地段钢轨波磨特征及动力影响[J]. 铁道建筑, 2022, 62(02),
69-74. (北大核心)
[36]
王启好, 蔡小培, 郄录朝, 侯博文, 汤雪扬, 高梓航, 王继. 高速铁路站桥一体高架车站无砟轨道减振研究[J]. 铁道学报, 2024, 46(06), 119-128. (EI检索)
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