Miao He

1.3k total citations · 1 hit paper
22 papers, 964 citations indexed

About

Miao He is a scholar working on Mechanical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Miao He has authored 22 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 14 papers in Control and Systems Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Miao He's work include Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (12 papers) and Fault Detection and Control Systems (4 papers). Miao He is often cited by papers focused on Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (12 papers) and Fault Detection and Control Systems (4 papers). Miao He collaborates with scholars based in United States, China and Australia. Miao He's co-authors include David He, Weiwei Jiang, Weixi Gu, Yongzhi Qu, Jiayun Luo, Yiran Yang, Lin Li, Roberto Paoli, Feiyu Kang and Guodan Wei and has published in prestigious journals such as Journal of Cleaner Production, Nanoscale and IEEE Transactions on Industry Applications.

In The Last Decade

Miao He

22 papers receiving 941 citations

Hit Papers

Deep Learning Based Approach for Bearing Fault Diagnosis 2017 2026 2020 2023 2017 100 200 300
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. Deep Learning Based Approach for Bearing Fault Diagnosis
    2017 373 citations Miao He, David He IEEE Transactions on Industry Applications profile →

Peers

Miao He
Huaitao Shi China
Zheng Zhou China
Yongqiang Liu China
Weitao Li China
W. Głowacz Poland
Gongbo Zhou China
Xiaopeng Li China
Dongyang Sun China
Wan Zhang China
Huaitao Shi China
Miao He
Citations per year, relative to Miao He Miao He (= 1×) peers Huaitao Shi

Countries citing papers authored by Miao He

Since Specialization
Citations

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

Fields of papers citing papers by Miao He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao He

This figure shows the co-authorship network connecting the top 25 collaborators of Miao He. A scholar is included among the top collaborators of Miao He 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 Miao He. Miao He 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.
Jiang, Weiwei, et al.. (2024). Graph Neural Networks for Routing Optimization: Challenges and Opportunities. Sustainability. 16(21). 9239–9239. 14 indexed citations
2.
Jiang, Weiwei, Jiayun Luo, Miao He, & Weixi Gu. (2023). Graph Neural Network for Traffic Forecasting: The Research Progress. ISPRS International Journal of Geo-Information. 12(3). 100–100. 69 indexed citations
3.
Gao, Yu, Cong Zhao, Miao He, et al.. (2022). Low-voltage-modulated perovskite/organic dual-band photodetectors for visible and near-infrared imaging. Science Bulletin. 67(19). 1982–1990. 43 indexed citations
4.
He, Miao, et al.. (2020). Fast Evaluation of Aircraft Icing Severity Using Machine Learning Based on XGBoost. Aerospace. 7(4). 36–36. 38 indexed citations
5.
Wang, Nan, et al.. (2020). A Wideband Butterfly Antenna Based on Deep Learning Parameter Optimization Algorithm. 1–3. 1 indexed citations
6.
Qu, Yongzhi, Yue Zhang, Miao He, et al.. (2019). Gear pitting fault diagnosis using disentangled features from unsupervised deep learning. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 233(5). 719–730. 10 indexed citations
7.
Yang, Yiran, Miao He, & Lin Li. (2019). Power consumption estimation for mask image projection stereolithography additive manufacturing using machine learning based approach. Journal of Cleaner Production. 251. 119710–119710. 40 indexed citations
8.
Qu, Yongzhi, et al.. (2019). Regularized Deep Clustering Method for Fault Trend Analysis. Annual Conference of the PHM Society. 11(1). 2 indexed citations
9.
He, Miao, Chunyun Wang, Jingzhou Li, et al.. (2019). CsPbBr3–Cs4PbBr6 composite nanocrystals for highly efficient pure green light emission. Nanoscale. 11(47). 22899–22906. 43 indexed citations
10.
11.
He, Miao, et al.. (2019). Computational fluid dynamics simulation of the supersonic steam ejector using different condensation model. Thermal Science. 23(3 Part A). 1655–1661. 6 indexed citations
12.
He, Miao & David He. (2018). Simultaneous bearing fault diagnosis and severity detection using a LAMSTAR network‐based approach. IET Science Measurement & Technology. 12(7). 893–901. 6 indexed citations
13.
He, Miao, et al.. (2018). Wind turbine planetary gearbox feature extraction and fault diagnosis using a deep-learning-based approach. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 233(3). 303–316. 21 indexed citations
14.
Qu, Yongzhi, Yue Zhang, Miao He, et al.. (2018). Gear pitting fault diagnosis using disentangled features from unsupervised deep learning. 1–6. 5 indexed citations
15.
Qu, Yongzhi, et al.. (2017). Detection of Pitting in Gears Using a Deep Sparse Autoencoder. Applied Sciences. 7(5). 515–515. 51 indexed citations
16.
He, Miao & David He. (2017). Deep Learning Based Approach for Bearing Fault Diagnosis. IEEE Transactions on Industry Applications. 53(3). 3057–3065. 373 indexed citations breakdown →
17.
Zhou, Yong, Lin Li, Da Wang, Miao He, & David He. (2017). A new method to classify railway vehicle axle fatigue crack AE signal. Applied Acoustics. 131. 174–185. 30 indexed citations
18.
Chen, Renxiang, Siyang Chen, Miao He, David He, & Baoping Tang. (2017). Rolling bearing fault severity identification using deep sparse auto-encoder network with noise added sample expansion. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 231(6). 666–679. 30 indexed citations
19.
He, Miao, David He, & Eric Bechhoefer. (2016). Using Deep Learning Based Approaches for Bearing Fault Diagnosis with AE Sensors. Annual Conference of the PHM Society. 8(1). 10 indexed citations
20.
He, Miao, David He, & Yongzhi Qu. (2016). A New Signal Processing and Feature Extraction Approach for Bearing Fault Diagnosis using AE Sensors. Journal of Failure Analysis and Prevention. 16(5). 821–827. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Huaitao Shi Breakdown of academic impact, for papers by Zheng Zhou Breakdown of academic impact, for papers by Yongqiang Liu Breakdown of academic impact, for papers by Weitao Li Breakdown of academic impact, for papers by W. Głowacz Breakdown of academic impact, for papers by Gongbo Zhou Breakdown of academic impact, for papers by Xiaopeng Li Breakdown of academic impact, for papers by Dongyang Sun Breakdown of academic impact, for papers by Wan Zhang
Rankless by CCL
2026