Miao He

1.3k citations

22 papers · 964 indexed · 1 hit paper · h-index 13

Control and Systems Engineering top 2%
- Machine Fault Diagnosis Techniques 13
- Fault Detection and Control Systems 4
Medical Laboratory Technology top 5%
Mechanical Engineering top 5%
- Gear and Bearing Dynamics Analysis 12
- Additive Manufacturing Materials and Processes 2
- Structural Integrity and Reliability Analysis 2
- Advanced machining processes and optimization 2
- Mechanical Failure Analysis and Simulation 2
Industrial and Manufacturing Engineering top 5%
Mechanics of Materials top 5%
Electrical and Electronic Engineering
- Perovskite Materials and Applications 2

Co-authors: David He Weiwei Jiang Weixi Gu Yongzhi Qu Jiayun Luo Yiran YangLin LiRoberto Paoli
Cited by: Control and Systems Engineering Medical Laboratory Technology Mechanical Engineering
Journals: Journal of Cleaner Production (1 paper)Nanoscale (1 paper)IEEE Transactions on Industry Applications (1 paper)
Partner nations: United States China Australia

In The Last Decade

Miao He

22 papers receiving 941 citations

Hit Papers

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Peers

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

The 25 scholars most cited alongside Miao He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Miao He Line = papers co-authored together Miao He links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Graph Neural Networks for Routing Optimization: Challenges and Opportunities Sustainability ·Weiwei Jiang,Haoyu Han,Yang Zhang,Jiashi Wang,Miao He,Weixi Gu,Jianbin Mu,Xirong Cheng	2024	14
2	Graph Neural Network for Traffic Forecasting: The Research Progress ISPRS International Journal of Geo-Information ·Weiwei Jiang,Jiayun Luo,Miao He,Weixi Gu	2023	69
3	Low-voltage-modulated perovskite/organic dual-band photodetectors for visible and near-infrared imaging Science Bulletin ·Yu Gao,Cong Zhao,Kai Pu,Miao He,Wanqing Cai,Man-Chung Tang,Feiyu Kang,Hin‐Lap Yip,Guodan Wei	2022	43
4	Fast Evaluation of Aircraft Icing Severity Using Machine Learning Based on XGBoost Aerospace ·Sibo Li,Jingkun Qin,Miao He,Roberto Paoli	2020	38
5	A Wideband Butterfly Antenna Based on Deep Learning Parameter Optimization Algorithm Nan Wang,Zhizhan Kong,Xiao-Long Ren,Songbo Chen,Guang Dai,Ken-Long Han,Xiaojian Chen,Miao He,Hao Du	2020	1
6	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 ·Yongzhi Qu,Yue Zhang,Miao He,David He,Chen Jiao,Zude Zhou	2019	10
7	Power consumption estimation for mask image projection stereolithography additive manufacturing using machine learning based approach Journal of Cleaner Production ·Yiran Yang,Miao He,Lin Li	2019	40
8	Regularized Deep Clustering Method for Fault Trend Analysis Annual Conference of the PHM Society ·Yongzhi Qu,Yue Zhang,David He,Miao He,Dude Zhou	2019	2
9	CsPbBr₃–Cs₄PbBr₆ composite nanocrystals for highly efficient pure green light emission Nanoscale ·Miao He,Chunyun Wang,Jingzhou Li,Jiang Wu,Siwei Zhang,Hao‐Chung Kuo,Liyang Shao,Shichao Zhao,Jinzhong Zhang,Feiyu Kang,Guodan Wei	2019	43
10	A new machine learning based geometry feature extraction approach for energy consumption estimation in mask image projection stereolithography Procedia CIRP ·Yiran Yang,Miao He,Lin Li	2019	9
11	Computational fluid dynamics simulation of the supersonic steam ejector using different condensation model Thermal Science ·Lin Cai,Miao He,Kezhen Huang,Wei Xiong	2019	6
12	Simultaneous bearing fault diagnosis and severity detection using a LAMSTAR network‐based approach IET Science Measurement & Technology ·Miao He,David He	2018	6
13	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 ·Miao He,David He,Jae Yoon,Thomas J. Nostrand,Junda Zhu,Eric Bechhoefer	2018	21
14	Gear pitting fault diagnosis using disentangled features from unsupervised deep learning Yongzhi Qu,Yue Zhang,Miao He,David He,Chen Jiao,Zude Zhou	2018	5
15	Detection of Pitting in Gears Using a Deep Sparse Autoencoder Applied Sciences ·Yongzhi Qu,Miao He,Jason Deutsch,David He	2017	51
16	Deep Learning Based Approach for Bearing Fault Diagnosisbreakdown → IEEE Transactions on Industry Applications ·Miao He,David He	2017	373
17	A new method to classify railway vehicle axle fatigue crack AE signal Applied Acoustics ·Yong Zhou,Lin Li,Da Wang,Miao He,David He	2017	30
18	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 ·Renxiang Chen,Siyang Chen,Miao He,David He,Baoping Tang	2017	30
19	Using Deep Learning Based Approaches for Bearing Fault Diagnosis with AE Sensors Annual Conference of the PHM Society ·Miao He,David He,Eric Bechhoefer	2016	10
20	A New Signal Processing and Feature Extraction Approach for Bearing Fault Diagnosis using AE Sensors Journal of Failure Analysis and Prevention ·Miao He,David He,Yongzhi Qu	2016	7

About Miao He

Miao He is a scholar working on Control and Systems Engineering, Mechanical Engineering and Automotive Engineering, having authored 22 papers that have together received 964 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (13 papers), Gear and Bearing Dynamics Analysis (12 papers), Fault Detection and Control Systems (4 papers), Additive Manufacturing Materials and Processes (2 papers), Perovskite Materials and Applications (2 papers), Structural Integrity and Reliability Analysis (2 papers), Advanced machining processes and optimization (2 papers) and Mechanical Failure Analysis and Simulation (2 papers). The work is most often cited by research in Control and Systems Engineering (576 citations), Medical Laboratory Technology (18 citations) and Mechanical Engineering (423 citations). Miao He has collaborated with scholars based in United States, China and Australia. Frequent co-authors include David He, Weiwei Jiang, Weixi Gu, Yongzhi Qu, Jiayun Luo, Yiran Yang, Lin Li, Roberto Paoli, Feiyu Kang and Guodan Wei. Their work appears in journals such as Journal of Cleaner Production, Nanoscale and IEEE Transactions on Industry Applications.

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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