Hongchao Wang

826 citations

59 papers · 631 indexed · h-index 10

Control and Systems Engineering top 2%
- Machine Fault Diagnosis Techniques 47
- Fault Detection and Control Systems 21
- Advanced Algorithms and Applications 6
Mechanical Engineering top 10%
- Gear and Bearing Dynamics Analysis 30
Mechanics of Materials top 10%
- Engineering Diagnostics and Reliability 20
Signal Processing
- Blind Source Separation Techniques 3
Civil and Structural Engineering top 10%
Electrical and Electronic Engineering
- Advanced Measurement and Detection Methods 4
Analytical Chemistry
- Spectroscopy and Chemometric Analyses 3

Co-authors: Jin ChenGuangming Dong Wenliao Du Xiaoyun Gong Haitao Zhou Shuangyuan Wang Junrong Wang Shuqing Wang
Cited by: Control and Systems Engineering Mechanical Engineering Mechanics of Materials
Journals: IEEE Transactions on Industrial Electronics (2 papers)The Journal of Physical Chemistry C (1 paper)Mechanical Systems and Signal Processing (2 papers)
Partner nations: China United States Austria

In The Last Decade

Hongchao Wang

54 papers receiving 614 citations

Peers

Countries citing papers authored by Hongchao Wang

Since Specialization

Citations

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

Fields of papers citing papers by Hongchao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hongchao Wang, 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 Hongchao Wang Line = papers co-authored together Hongchao Wang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	A fault diagnosis method for key transmission components of rotating machinery based on SAM-1DCNN-BiLSTM temporal and spatial feature extraction Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ·Wenliao Du,Xutong Niu,Hongchao Wang,Xiaoyun Gong,Ansheng Li,Chuan Li	2025	0
2	Multiscale Dynamic Weight-Based Mixed Convolutional Neural Network for Fault Diagnosis of Rotating Machinery IEEE Transactions on Instrumentation and Measurement ·Wenliao Du,Lingkai Yang,Xiaoyun Gong,Jie Liu,Hongchao Wang	2025	1
3	Channel attention residual transfer learning with LLM fine-tuning for few-shot fault diagnosis in autonomous underwater vehicle propellers Ocean Engineering ·Wenliao Du,Xinlong Yu,Zhen Guo,Hongchao Wang,Yiyuan Gao,Ziqiang Pu,Guanghua Li,Chuan Li	2025	6
4	In-Plane Optical Anisotropy in a MoSe₂/Au (110) Moiré Superstructure The Journal of Physical Chemistry C ·Yu-Feng Huang,Mengjiao Li,Hongchao Wang,Peichao Wang,Wanfu Shen,Chunguang Hu,Yanning Li,Lidong Sun,Zhixin Hu,Hong‐Ying Gao	2024	1
5	Maximum capacity and state of health estimation based on equivalent circuit model for degraded battery Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ·Xiaodong Zhang,Hongchao Wang,Wenliao Du	2023	1
6	LN-MRSCAE: A novel deep learning based denoising method for mechanical vibration signals Journal of Vibration and Control ·Wenliao Du,Lingkai Yang,Hongchao Wang,Xiaoyun Gong,Lianying Zhang,Chuan Li,JI Lian-qing	2023	7
7	A Two-Stage Rolling Bearing Weak Fault Feature Extraction Method Combining Adaptive Morphological Filter with Frequency Band Selection Strategy Applied Sciences ·Jun Li,Hongchao Wang,Simin Li,Liang Chen,Qiqian Dang	2023	2
8	Fault Diagnosis of Rotating Machinery Based on 1D–2D Joint Convolution Neural Network IEEE Transactions on Industrial Electronics ·Wenliao Du,Pengjie Hu,Hongchao Wang,Xiaoyun Gong,Shuangyuan Wang	2022	45
9	Multi-source information deep fusion for rolling bearing fault diagnosis based on deep residual convolution neural network Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ·Hongchao Wang,Wenliao Du	2022	6
10	Weak fault feature extraction using adaptive chirp mode decomposition with sparsity index regrouping scheme and time-delayed feedback stochastic resonance Journal of Vibration and Control ·Xiaodong Zhang,Hongchao Wang,Wenliao Du	2022	2
11	Weak fault detection of rolling element bearing combining robust EMD with adaptive maximum second-order cyclostationarity blind deconvolution Journal of Vibration and Control ·Lianhui Jia,Hongchao Wang,Lijie Jiang,WenLiao Du	2022	4
12	Weak feature extraction of rolling element bearing based on self-adaptive blind de-convolution and enhanced envelope spectral Journal of Vibration and Control ·Hongchao Wang,Wenliao Du,Haiyi Li,Zhiwei Li,Jiale Hu	2021	4
13	Early weak fault diagnosis of rolling element bearing based on resonance sparse decomposition and multi-objective information frequency band selection method Journal of Vibration and Control ·Hongchao Wang,Wenliao Du	2021	7
14	Feature extraction of latent fault components of rolling bearing based on self-learned sparse atomics and frequency band entropy Journal of Vibration and Control ·Hongchao Wang,Wenliao Du	2020	5
15	A health management system for large vertical mill International Journal of Distributed Sensor Networks ·Sugai Han,Ansheng Li,Hongchao Wang,Xiaoyun Gong,Liangwen Wang,Yixiang Huang,Yanming Li,Wenliao Du	2020	1
16	A Sparse Underdetermined Blind Source Separation Method and Its Application in Fault Diagnosis of Rotating Machinery Complexity ·Hongchao Wang,Wenliao Du	2020	6
17	A new K-means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault International Journal of Distributed Sensor Networks ·Hongchao Wang,Wenliao Du	2020	8
18	Fast Spectral Correlation Based on Sparse Representation Self-Learning Dictionary and Its Application in Fault Diagnosis of Rotating Machinery Complexity ·Hongchao Wang,Wenliao Du	2020	8
19	The application of matching pursuit based on multi feature pattern set in the signal processing of rotating machinery Journal of Vibration and Control ·Hongchao Wang,Deli Sun	2019	6
20	Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model Advances in Mechanical Engineering ·Hongchao Wang,Wenliao Du	2014	5

About Hongchao Wang

Hongchao Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials, having authored 59 papers that have together received 631 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (47 papers), Gear and Bearing Dynamics Analysis (30 papers), Fault Detection and Control Systems (21 papers), Engineering Diagnostics and Reliability (20 papers), Advanced Algorithms and Applications (6 papers), Advanced Measurement and Detection Methods (4 papers), Blind Source Separation Techniques (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Control and Systems Engineering (482 citations), Mechanical Engineering (337 citations) and Mechanics of Materials (186 citations). Hongchao Wang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Jin Chen, Guangming Dong, Wenliao Du, Guangming Dong, Xiaoyun Gong, Haitao Zhou, Shuangyuan Wang, Jin Chen, Junrong Wang and Shuqing Wang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, The Journal of Physical Chemistry C and Mechanical Systems and Signal Processing.

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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