Jian Miao

850 total citations · 1 hit paper
32 papers, 614 citations indexed

About

Jian Miao is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Jian Miao has authored 32 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 9 papers in Mechanical Engineering and 6 papers in Civil and Structural Engineering. Recurrent topics in Jian Miao's work include Machine Fault Diagnosis Techniques (8 papers), Infrastructure Maintenance and Monitoring (6 papers) and Gear and Bearing Dynamics Analysis (5 papers). Jian Miao is often cited by papers focused on Machine Fault Diagnosis Techniques (8 papers), Infrastructure Maintenance and Monitoring (6 papers) and Gear and Bearing Dynamics Analysis (5 papers). Jian Miao collaborates with scholars based in China and South Korea. Jian Miao's co-authors include Deqiang He, Zhenzhen Jin, Sheng Shan, Yanjun Chen, Zexian Wei, Bin Liu, Zhenpeng Lao, Yanjun Chen, Jinxin Wu and Jiayi Li and has published in prestigious journals such as Optics Express, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jian Miao

30 papers receiving 596 citations

Hit Papers

Temporal multi-resolution hypergraph attention network fo... 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings
    2024 66 citations Jinxin Wu, Deqiang He et al. Reliability Engineering & System Safety profile →

Peers

Jian Miao
Mustafa Demetgül Türkiye
Di Yuan United States
Pavol Božek Slovakia
Zujun Yu China
Weiping Fu China
Guohua Cui China
Huaiqian Bao China
Peng Dai China
Shengyao Gao China
Mustafa Demetgül Türkiye
Jian Miao
Citations per year, relative to Jian Miao Jian Miao (= 1×) peers Mustafa Demetgül

Countries citing papers authored by Jian Miao

Since Specialization
Citations

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

Fields of papers citing papers by Jian Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Miao. A scholar is included among the top collaborators of Jian 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 Jian Miao. Jian 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.
Wei, Zexian, et al.. (2025). Bogie key components fault diagnosis utilizing multi-sensor tensor graphs and dual-attribute feature selection. Engineering Applications of Artificial Intelligence. 160. 111727–111727. 2 indexed citations
2.
He, Deqiang, et al.. (2024). Welding defect detection based on phased array images and two-stage segmentation strategy. Advanced Engineering Informatics. 62. 102879–102879. 7 indexed citations
3.
He, Deqiang, et al.. (2024). Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network. Knowledge-Based Systems. 294. 111746–111746. 16 indexed citations
4.
He, Deqiang, Zhenzhen Jin, Jian Miao, et al.. (2024). ViTR-Net: An unsupervised lightweight transformer network for cable surface defect detection and adaptive classification. Engineering Structures. 313. 118240–118240. 8 indexed citations
5.
Wu, Jinxin, Deqiang He, Jiayi Li, et al.. (2024). Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings. Reliability Engineering & System Safety. 247. 110143–110143. 66 indexed citations breakdown →
6.
He, Deqiang, et al.. (2023). Remaining useful life prediction for train bearing based on an ILSTM network with adaptive hyperparameter optimization. Transportation Safety and Environment. 6(2). 3 indexed citations
7.
Lao, Zhenpeng, Deqiang He, Zexian Wei, et al.. (2023). Intelligent fault diagnosis for rail transit switch machine based on adaptive feature selection and improved LightGBM. Engineering Failure Analysis. 148. 107219–107219. 61 indexed citations
8.
Wei, Zexian, Deqiang He, Zhenzhen Jin, et al.. (2023). Intelligent fault diagnosis and health stage division of bearing based on tensor clustering and feature space denoising. Applied Intelligence. 53(21). 24671–24688. 8 indexed citations
9.
Wei, Zexian, Deqiang He, Zhenzhen Jin, et al.. (2023). Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing. IEEE Transactions on Intelligent Transportation Systems. 24(6). 6053–6064. 74 indexed citations
10.
He, Deqiang, et al.. (2022). Evaluation and Prediction of Train Communication Network Performance. IEEE Transactions on Vehicular Technology. 71(5). 4898–4910. 6 indexed citations
11.
He, Deqiang, et al.. (2021). Topology Design and Optimization of Train Communication Network Based on Industrial Ethernet. IEEE Transactions on Vehicular Technology. 71(1). 844–855. 10 indexed citations
12.
He, Deqiang, et al.. (2021). Obstacle detection in dangerous railway track areas by a convolutional neural network. Measurement Science and Technology. 32(10). 105401–105401. 23 indexed citations
13.
Hu, Huang, Can Xu, Jian Miao, et al.. (2021). Learning Neural Templates for Recommender Dialogue System. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7821–7833. 25 indexed citations
14.
Miao, Jian. (2012). Application of WebSocket technique in locomotive fault diagnosis system. Journal of Guangxi University. 1 indexed citations
15.
Miao, Jian, et al.. (2012). Design of Locomotive Coupling Transmission System Based on WLAN. Advanced materials research. 590. 361–366. 1 indexed citations
16.
Miao, Jian, et al.. (2011). Research on Intelligent Cane-End Cutting Based on Image Processing for Sugarcane. Advanced materials research. 320. 631–635. 2 indexed citations
17.
Miao, Jian. (2010). The Design of Temperature Control System Based on Fuzzy Neural Network. Microcomputer Information. 1 indexed citations
18.
Miao, Jian, et al.. (2005). Research on dynamic workflow management model for networked manufacturing platform. Computer Integrated Manufacturing Systems.
19.
Han, Tao, Yunhua Wu, Bin Sun, et al.. (2005). Study of a high-resolution infrared spectrometer by using an integrated multigrating structure. Review of Scientific Instruments. 76(8). 9 indexed citations
20.
Miao, Jian. (2000). Study of the Simulation System of Train and Shunting Operation Process at Railway Station (Yard). 1 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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