Qiang Miao

7.8k total citations · 6 hit papers
207 papers, 6.2k citations indexed

About

Qiang Miao is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Qiang Miao has authored 207 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Control and Systems Engineering, 50 papers in Mechanical Engineering and 36 papers in Electrical and Electronic Engineering. Recurrent topics in Qiang Miao's work include Machine Fault Diagnosis Techniques (86 papers), Fault Detection and Control Systems (63 papers) and Gear and Bearing Dynamics Analysis (39 papers). Qiang Miao is often cited by papers focused on Machine Fault Diagnosis Techniques (86 papers), Fault Detection and Control Systems (63 papers) and Gear and Bearing Dynamics Analysis (39 papers). Qiang Miao collaborates with scholars based in China, United States and Hong Kong. Qiang Miao's co-authors include Dong Wang, Heng Zhang, Michael Pecht, Lei Wang, Xin Zhang, Fangfang Yang, Weihua Li, Jianyu Wang, Kwok‐Leung Tsui and Zhiwen Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and IEEE Transactions on Industrial Electronics.

In The Last Decade

Qiang Miao

191 papers receiving 6.0k citations

Hit Papers

A parameter-adaptive VMD method based on grasshop... 2012 2026 2016 2021 2018 2019 2012 2017 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiang Miao China 37 3.6k 2.0k 1.9k 1.8k 1.1k 207 6.2k
Noureddine Zerhouni France 44 3.1k 0.9× 1.7k 0.9× 1.4k 0.7× 2.6k 1.4× 1.2k 1.2× 220 7.3k
Chao Hu United States 41 2.1k 0.6× 2.6k 1.3× 1.0k 0.6× 2.7k 1.5× 1.1k 1.1× 183 6.8k
Bo‐Suk Yang South Korea 39 3.8k 1.1× 471 0.2× 2.0k 1.1× 800 0.4× 743 0.7× 109 5.9k
Jianbo Yu China 50 3.7k 1.1× 710 0.4× 3.0k 1.6× 1.2k 0.6× 606 0.6× 316 7.9k
Wei Qiao United States 60 6.6k 1.9× 1.4k 0.7× 1.6k 0.9× 8.7k 4.8× 509 0.5× 327 12.0k
Carlo Cecati Italy 41 7.5k 2.1× 1.4k 0.7× 1.3k 0.7× 9.1k 5.0× 346 0.3× 262 12.9k
Weiwen Peng China 30 1.4k 0.4× 640 0.3× 1.1k 0.6× 579 0.3× 1.5k 1.4× 108 4.3k
David He United States 38 3.1k 0.9× 320 0.2× 2.3k 1.2× 501 0.3× 719 0.7× 162 5.5k
Pingfeng Wang United States 33 1.5k 0.4× 579 0.3× 809 0.4× 803 0.4× 870 0.8× 222 4.8k
Kamal Medjaher France 32 2.7k 0.8× 234 0.1× 1.5k 0.8× 504 0.3× 916 0.9× 123 4.1k

Countries citing papers authored by Qiang Miao

Since Specialization
Citations

This map shows the geographic impact of Qiang Miao'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 Qiang Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Miao more than expected).

Fields of papers citing papers by Qiang Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiang Miao. 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 Qiang Miao. The network helps show where Qiang Miao may publish in the future.

Co-authorship network of co-authors of Qiang Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Miao. A scholar is included among the top collaborators of Qiang Miao 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 Qiang Miao. Qiang Miao 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.
Peng, Fei, et al.. (2025). A Deep Learning Image Segmentation Model for Detection of Weak Vehicle-Generated Quasi-Static Strain in Distributed Acoustic Sensing. IEEE Transactions on Intelligent Transportation Systems. 26(6). 8933–8944. 3 indexed citations
2.
Zhang, Heng, et al.. (2025). Deep Learning for Demand Forecasting: A Framework Incorporating Variational Mode Decomposition and Attention Mechanism. Processes. 13(2). 594–594. 4 indexed citations
3.
Tang, Xiaochuan, et al.. (2024). An evolutionary game model for indirect data sharing in manufacturing big data consortium. Expert Systems with Applications. 255. 124807–124807. 6 indexed citations
4.
Luo, Chong, Jianyu Wang, Enrico Zio, & Qiang Miao. (2024). Operating Condition Generalization Network for Fault Diagnosis of Brushless DC Motors. IEEE Transactions on Industrial Electronics. 71(12). 16675–16683. 3 indexed citations
5.
Zhou, Xu, et al.. (2024). Sensor Fault Detection for UAVs Using Improved Self-Attention LSTM Network With Similarity Space Mapping. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 4 indexed citations
6.
Tang, Xiaochuan, et al.. (2024). Complex network structural analysis based on information supplementation graph contrastive learning. Knowledge-Based Systems. 309. 112833–112833.
7.
Luo, Chong, Jianyu Wang, Enrico Zio, & Qiang Miao. (2024). Unsupervised Fault Detection of Brushless DC Motors Under Multioperating Conditions via Order Hybrid Interpolated Gaussian Descriptor. IEEE/ASME Transactions on Mechatronics. 30(4). 2519–2528. 1 indexed citations
8.
Luo, Chong, Jianyu Wang, Enrico Zio, & Qiang Miao. (2024). Subdomain Adaptation Order Network for Fault Diagnosis of Brushless DC Motors. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 10 indexed citations
9.
Xu, Zhiqiang, Yujie Zhang, & Qiang Miao. (2024). An attention-based multi-scale temporal convolutional network for remaining useful life prediction. Reliability Engineering & System Safety. 250. 110288–110288. 30 indexed citations
10.
Wang, Jianyu, et al.. (2024). Fault diagnosis of induction motor in the cooling water supply system using a multi-channel data fusion transformer with limited sample conditions*. Measurement Science and Technology. 35(10). 106103–106103. 2 indexed citations
11.
12.
Fang, Xia, et al.. (2023). Microarmature Solder Surface Detection: An Adaptive Central Region Sample Selection Anchor Free Framework. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 3 indexed citations
13.
Wang, Jianyu, Zhiguo Zeng, Heng Zhang, Anne Barros, & Qiang Miao. (2022). An Improved Triplet Network for Electromechanical Actuator Fault Diagnosis Based on Similarity Strategy. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 8 indexed citations
14.
Miao, Qiang, et al.. (2019). Preparation methods and progress of experiments of quantum microwave. Acta Physica Sinica. 68(7). 70302–70302. 1 indexed citations
15.
Li, Xiang, et al.. (2016). A method of evaluating the quality of dual-path entangled quantum microwave signal generated based on von Neumann entropy. Acta Physica Sinica. 65(11). 114204–114204. 3 indexed citations
16.
Miao, Qiang. (2012). CAN-bus Based Online Monitoring System for Humidity and Temperature. Yibiao jishu yu chuanganqi. 1 indexed citations
17.
Miao, Qiang. (2009). The Study of Equipment Degradation State Recognition Method Based on KPCA-HSMM. Acta Armamentarii. 2 indexed citations
18.
Miao, Qiang. (2009). Fuzzy Fault Tree Analysis for Auto Drive Axle System. Xi'an Jiaotong Daxue xuebao. 3 indexed citations
19.
Huang, Hong‐Zhong, et al.. (2007). Fuzzy Fault Tree Analysis of Crane Wire Rope. International Journal of Performability Engineering. 3(4). 403. 4 indexed citations
20.
Miao, Qiang. (2005). Condition Monitoring of Rotating Machinery Using Hidden Markov Models. Acta Aeronautica Et Astronautica Sinica. 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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