Qinglin Xie, Gongquan Tao*, Bin He, Zefeng Wen. Rail corrugation detection using one dimensional convolution neural network and data-driven method. Measurement, 2022, 200: 111624. (SCI, JCR Q1, IF 6.1)

Qinglin Xie, Gongquan Tao, Siu Ming Lo, Xiaoxuan Yang, Zefeng Wen*. A data-driven convolutional regression scheme for on-board and quantitative detection of rail corrugation roughness. Wear, 2023, 524-525: 204770. (SCI, JCR Q1, IF 7.2)

Qinglin Xie, Gongquan Tao*, Chenxi Xie, Zefeng Wen. Abnormal data detection based on adaptive sliding window and weighted multiscale local outlier factor for machinery health monitoring. IEEE Transactions on Industrial Electronics, 2023, 70(11): 11725-11734. (SCI, JCR Q1, IF 7.7)

Qinglin Xie, Gongquan Tao*, Siu Ming Lo, Wubin Cai, Zefeng Wen. High-speed railway wheel polygon detection framework using improved frequency domain integration. Vehicle System Dynamics, 2024, 62(6): 1424-1445. (SCI, JCR Q1, IF 4.5)

Qinglin Xie, Fei Peng, Gongquan Tao*, Yu Ren, Fangbo Liu, Jizhong Yang, Zefeng Wen. Monitoring track irregularities using multi-source on-board measurement data. Railway Engineering Science, 2025, 33: 746-765. (SCI, JCR Q1, IF 5.2)

Qinglin Xie, Jing Wang, Guan Sen Dong, Gongquan Tao*, Chenxi Xie, Zefeng Wen. Research on one-dimensional data quality assurance for machinery health monitoring using compressive sensing and enhanced context encoder. Expert Systems With Applications, 2025, 297(Part B): 129407. (SCI, JCR Q1, IF 9.4)

Qinglin Xie, Xiaoxuan Yang, Mei Chen, Gongquan Tao*, Bingguang Wen, Fangbo Liu, Jizhong Yang, Zefeng Wen. On-board and quantitative monitoring method of rail corrugation in the presence of wheel polygon. Measurement, 2025, 257(Part C): 118796. (SCI, JCR Q1, IF 6.1)

Qinglin Xie, Jing Wang, Fangbo Liu, Jizhong Yang, Gongquan Tao*, Zefeng Wen. Accurate and fast quantitative detection of rail corrugation driven by deep learning algorithms using adaptive targeted loss and directed metric functions. IEEE Transactions on Intelligent Transportation Systems, 2025, 26(11): 19779-19790. (SCI, JCR Q1, IF 9.1)

谢清林, 陶功权, 王鹏, 李伟, 温泽峰*. 高寒动车组车轮磨耗演变特性及其影响分析. 工程力学, 2019, 36(10): 229–237. (EI, 中国科技期刊卓越行动计划入选期刊)

谢清林,  陶功权,  温泽峰*. 基于一维卷积神经网络的地铁钢轨波磨识别方法. 中南大学学报(自然科学版), 2021, 52(04): 1371–1379. (EI, 中国科技期刊卓越行动计划入选期刊)

谢清林,  陶功权,  刘孟奇,  任德祥,  温泽峰*. 数学形态学滤波在钢轨波磨波长识别中的应用. 中南大学学报(自然科学版), 2021, 52(5): 1724-1732. (EI, 中国科技期刊卓越行动计划入选期刊)

Qinglin Xie, Gongquan Tao, Zefeng Wen*, Xin Zhao, Hongqin Liang. An on-board and quantitative detection method of rail corrugation roughness based on deep learning. 12th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM2022), Melbourne, Australia, September 4-7, 2022. (Oral, 轮轨系统研究领域最高级别国际学术会议)

Qinglin Xie, Gongquan Tao, Siu Ming Lo, Wubin Cai, Hongqin Liang, Zefeng Wen*. High-speed railway wheel polygon detection framework using improved frequency domain quadratic integration. 28th IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD2023), Ottawa, Canada, August 21-25, 2023. (Oral, 车辆系统动力学研究领域顶级国际学术会议)

Qinglin Xie, Jing Wang, Gongquan Tao, Chenxi Xie, Zefeng Wen*. A sparsity-free compressed sensing method for PHM data quality assurance using generative adversarial network. 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT2023), Beijing, China, October 19-21, 2023. (Oral, 轨道交通电气与信息研究领域顶级国际学术会议, 最佳论文奖 排名第1)

Qinglin Xie, Jing Wang, Gongquan Tao, Zefeng Wen*. Intelligent PHM of wheel-rail systems driven by deep learning models using novel targeted loss and directed metric: An application to quantitative detection of rail corrugation. The third International Conference on rail transportation (ICRT2024), Shanghai, China, August 7-9, 2024. (Oral, 轨道交通研究领域高水平国际学术会议)

Qinglin Xie, Gongquan Tao, Hongqin Liang, Zefeng Wen*. Axle box acceleration-based monitoring of wheel‒rail roughness: an application for quantitative detection of wheel polygon in the presence of rail corrugation. 13th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM2025), Tokyo, Japan, September 22-26, 2025. (Oral, 轮轨系统研究领域最高级别国际学术会议)  (Section Chair)

谢清林, 陶功权, 刘舫泊, 温泽峰*. 基于自适应损失函数与评价指标的钢轨波磨定量检测方法研究. 第21届全国设备检测与诊断学术会议, 大理, 中国, 2024年8月24日-27日. (Oral, 故障诊断研究领域全国顶级学术会议)