Dengyu Xiao

1.7k total citations
47 papers, 1.3k citations indexed

About

Dengyu Xiao is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Dengyu Xiao has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 20 papers in Mechanical Engineering and 11 papers in Civil and Structural Engineering. Recurrent topics in Dengyu Xiao's work include Machine Fault Diagnosis Techniques (20 papers), Advanced machining processes and optimization (11 papers) and Drilling and Well Engineering (8 papers). Dengyu Xiao is often cited by papers focused on Machine Fault Diagnosis Techniques (20 papers), Advanced machining processes and optimization (11 papers) and Drilling and Well Engineering (8 papers). Dengyu Xiao collaborates with scholars based in China, Germany and Canada. Dengyu Xiao's co-authors include Chengjin Qin, Chengliang Liu, Jianfeng Tao, Haotian Shi, Honggan Yu, Yixiang Huang, Yanrui Jin, Chengliang Liu, Yanming Li and Hao Sun and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Dengyu Xiao

42 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dengyu Xiao China 21 539 523 327 287 237 47 1.3k
Yanrui Jin China 19 307 0.6× 306 0.6× 293 0.9× 228 0.8× 166 0.7× 44 1.2k
M. Salman Leong Malaysia 19 833 1.5× 721 1.4× 329 1.0× 96 0.3× 388 1.6× 92 1.7k
Honggan Yu China 16 234 0.4× 373 0.7× 527 1.6× 397 1.4× 220 0.9× 36 1.0k
Binqiang Chen China 21 1000 1.9× 768 1.5× 375 1.1× 48 0.2× 361 1.5× 55 1.6k
Murat Aşkar Türkiye 8 813 1.5× 449 0.9× 118 0.4× 92 0.3× 272 1.1× 31 1.3k
Levent Eren Türkiye 14 1.8k 3.4× 1.1k 2.2× 284 0.9× 194 0.7× 591 2.5× 36 2.5k
Dandan Peng China 16 1.4k 2.5× 829 1.6× 136 0.4× 81 0.3× 429 1.8× 39 1.8k
Wang‐Ji Yan China 19 391 0.7× 467 0.9× 1.1k 3.3× 55 0.2× 473 2.0× 67 1.8k
Zechao Wang China 13 273 0.5× 255 0.5× 301 0.9× 44 0.2× 242 1.0× 26 995
Zhiliang Liu China 28 1.8k 3.4× 1.5k 2.8× 319 1.0× 266 0.9× 767 3.2× 108 2.9k

Countries citing papers authored by Dengyu Xiao

Since Specialization
Citations

This map shows the geographic impact of Dengyu Xiao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dengyu Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dengyu Xiao more than expected).

Fields of papers citing papers by Dengyu Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dengyu Xiao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dengyu Xiao. The network helps show where Dengyu Xiao may publish in the future.

Co-authorship network of co-authors of Dengyu Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Dengyu Xiao. A scholar is included among the top collaborators of Dengyu Xiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dengyu Xiao. Dengyu Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hou, Bingchang, et al.. (2025). Two heuristic-optimization-based frameworks for tailoring signal decomposition methods. Mechanical Systems and Signal Processing. 242. 113620–113620.
2.
3.
Qin, Yi, Lijuan Zhao, Yuejian Chen, Dengyu Xiao, & Yongfang Mao. (2025). Learnable wavelet-driven physically interpretable networks for bearing fault diagnosis under variable speed. Mechanical Systems and Signal Processing. 237. 113121–113121.
4.
Xiao, Dengyu, Yu Sun, Huayan Pu, Weijia Jia, & Mingliang Zhou. (2025). Enhanced Multi-Vehicle Trajectory Prediction via an Extended Temporal Sequence Fusion Attention Network. IEEE Transactions on Intelligent Transportation Systems. 26(12). 23245–23256. 1 indexed citations
5.
Pu, Huayan, et al.. (2024). Domain generalization for machine compound fault diagnosis by Domain-Relevant Joint Distribution Alignment. Advanced Engineering Informatics. 62. 102771–102771. 10 indexed citations
6.
Wu, Fei, et al.. (2024). Adversarial-Causal Representation Learning Networks for Machine fault diagnosis under unseen conditions based on vibration and acoustic signals. Engineering Applications of Artificial Intelligence. 139. 109550–109550. 2 indexed citations
7.
Pu, Huayan, et al.. (2024). Visual Inertial SLAM Based on Spatiotemporal Consistency Optimization in Diverse Environments. Journal of Field Robotics. 42(3). 679–696.
8.
Xia, Pengcheng, Yixiang Huang, Chengjin Qin, et al.. (2023). Adaptive Feature Utilization With Separate Gating Mechanism and Global Temporal Convolutional Network for Remaining Useful Life Prediction. IEEE Sensors Journal. 23(18). 21408–21420. 17 indexed citations
9.
Yu, Honggan, Hao Sun, Jianfeng Tao, et al.. (2023). A multi-stage data augmentation and AD-ResNet-based method for EPB utilization factor prediction. Automation in Construction. 147. 104734–104734. 53 indexed citations
10.
Pu, Huayan, et al.. (2023). Compound Fault Diagnosis of Rotating Machine Through Label Correlation Modeling via Graph Convolutional Neural Network. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 14 indexed citations
11.
Qin, Yi, Jianghong Zhou, Dengyu Xiao, Chengjin Qin, & Quan Qian. (2023). High-precision cutterhead torque prediction for tunnel boring machines using an attention-based embedded LSTM neural network. Measurement. 224. 113888–113888. 15 indexed citations
12.
Qian, Quan, Yi Qin, Jun Luo, & Dengyu Xiao. (2023). Cross-Machine Transfer Fault Diagnosis by Ensemble Weighting Subdomain Adaptation Network. IEEE Transactions on Industrial Electronics. 70(12). 12773–12783. 51 indexed citations
13.
Qin, Yi, et al.. (2022). Rotating machine fault diagnosis by a novel fast sparsity-enabled feature-energy-ratio method. ISA Transactions. 136. 417–427. 6 indexed citations
14.
Jin, Yanrui, Jinlei Liu, Yunqing Liu, et al.. (2021). A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 42 indexed citations
15.
Ge, Jianwen, et al.. (2020). RUL Predict of IGBT Based on DeepAR Using Transient Switch Features. PHM Society European Conference. 5(1). 11–11. 4 indexed citations
16.
Qin, Chengjin, et al.. (2020). A Legendre wavelet–based stability prediction method for high-speed milling processes. The International Journal of Advanced Manufacturing Technology. 108(7-8). 2397–2408. 2 indexed citations
17.
Qin, Chengjin, Jianfeng Tao, Dengyu Xiao, et al.. (2020). Accurate and efficient stability prediction for milling operations using the Legendre-Chebyshev-based method. The International Journal of Advanced Manufacturing Technology. 107(1-2). 247–258. 3 indexed citations
18.
Xiao, Dengyu, Chengjin Qin, Honggan Yu, Yixiang Huang, & Chengliang Liu. (2020). Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization. Journal of Intelligent Manufacturing. 32(2). 377–391. 23 indexed citations
19.
20.
Xiao, Dengyu, et al.. (2002). Permeability study of high polymer membranes for gas-oil separation. 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077). 3. 2229–2232. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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