Guangrui Wen

3.2k citations

136 papers · 2.3k indexed · 1 hit paper · h-index 25

Control and Systems Engineering top 1%
- Machine Fault Diagnosis Techniques 61
- Fault Detection and Control Systems 26
Mechanical Engineering top 1%
- Welding Techniques and Residual Stresses 25
- Gear and Bearing Dynamics Analysis 22
- Non-Destructive Testing Techniques 20
- Surface Treatment and Residual Stress 12
Industrial and Manufacturing Engineering top 1%
- Industrial Vision Systems and Defect Detection 13
Mechanics of Materials top 2%
- Engineering Diagnostics and Reliability 15
Automotive Engineering top 5%

Co-authors: Zhifen Zhang Xuefeng Chen Zihao LeiXin HuangShanben Chen Haoxuan Zhou Shuzhi Dong Rui Qin
Cited by: Control and Systems Engineering Mechanical Engineering Industrial and Manufacturing Engineering
Partner nations: China United States United Kingdom

In The Last Decade

Guangrui Wen

124 papers receiving 2.3k citations

Hit Papers

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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.

2022 Construction of health indicators for condition monitoring of rotating machinery: A review of the research

Peers

Countries citing papers authored by Guangrui Wen

Since Specialization

Citations

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

Fields of papers citing papers by Guangrui Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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20 of 20 papers shown

#	Work
1	Anomaly detection of machinery under time-varying operating conditions based on state-space and neural network modeling Zimin Liu,Zihao Lei,Guangrui Wen,Yue Xi,Yu Su,Ke Feng,Xuefeng Chen	2025	0
2	Hybrid transfer learning and GAN-driven approach for online detection of welding defects Jie Wang,Zhifen Zhang,Shuai Zhang,Zijian Bai,Rui Qin,Jing Huang,Yu Su,Guangrui Wen,Xuefeng Chen	2025	5
3	Sharpness-aware multidomain imbalance generalization with external adversarial learning and intrinsic balanced entropy regularization for intelligent fault diagnosis Shuaiqing Deng,Zihao Lei,Guangrui Wen,Yu Su,Zhifen Zhang,Houcheng Su,Xuefeng Chen,Chunsheng Yang	2025	0
4	Surface hardness prediction for laser shock peening using narrow-band MCP-PMT and deep feature fusion with key elements and key frames Zhengyao Du,Zhifen Zhang,Rui Qin,Xianwen Xiang,Shaohui Li,Yu Su,Guangrui Wen,Weifeng He,Xuefeng Chen	2025	2
5	A patch-interactive enhancement network for semiconductor wafer map mixed defect recognition with a two-stage training strategy Shulong Gu,Zihao Lei,Di Zhao,Guangrui Wen,Ke Feng,Xuefeng Chen,Chunsheng Yang	2025	4
6	Acoustic emission-based weld crack leakage monitoring via FGI and MCCF-CondenseNet convolutional neural network Yanlong Yu,Zhifen Zhang,Jing Huang,Yongjie Li,Rui Qin,Guangrui Wen,Wei Cheng,Xuefeng Chen	2024	8
7	Interpretable operational condition attention-informed domain adaptation network for remaining useful life prediction under variable operational conditions Zihao Lei,Yu Su,Ke Feng,Guangrui Wen	2024	10
8	Unsupervised anomaly detection of machines operating under time-varying conditions: DCD-VAE enabled feature disentanglement of operating conditions and states Haoxuan Zhou,Bingsen Wang,Enrico Zio,Zihao Lei,Guangrui Wen,Xuefeng Chen	2024	2
9	In-situ monitoring in laser powder bed fusion based on acoustic signal time-frequency synchrosqueezing transform and multi-scale spatially interactive fusion convolutional neural network Zhiwen Li,Zhifen Zhang,Shuai Zhang,Jie Wang,Zijian Bai,Zhengyao Du,Ke Huang,Qi Zhang,Yu Su,Guangrui Wen,Xuefeng Chen	2024	14
10	Surface stress monitoring of laser shock peening using AE time-scale texture image and multi-scale blueprint separable convolutional networks with attention mechanism Rui Qin,Zhifen Zhang,Jing Huang,Jie Wang,Zhengyao Du,Guangrui Wen,Weifeng He	2023	18
11	Online identification of burn-through and weld deviation in sheet lap MIG welding based on YOLOv5 Jie Wang,Zhifen Zhang,Rui Qin,Guangrui Wen	2023	5
12	A novel denoising strategy based on sparse modeling for rotating machinery fault detection under time-varying operating conditions Zimin Liu,Haoxuan Zhou,Guangrui Wen,Zihao Lei,Yu Su,Xuefeng Chen	2023	14
13	A novel approach of online monitoring for laser powder bed fusion defects: Air-borne Acoustic Emission and Deep Transfer Learning Zhiwen Li,Zhifen Zhang,Shuai Zhang,Zijian Bai,Rui Qin,Jing Huang,Jie Wang,Ke Huang,Qi Zhang,Guangrui Wen	2023	21
14	Acoustic emission technology-based multifractal and unsupervised clustering on crack damage monitoring for low-carbon steel Jing Huang,Zhifen Zhang,Bofang Zheng,Rui Qin,Guangrui Wen,Wei Cheng,Xuefeng Chen	2023	22
15	Conditional feature disentanglement learning for anomaly detection in machines operating under time-varying conditions Haoxuan Zhou,Zihao Lei,Enrico Zio,Guangrui Wen,Zimin Liu,Yu Su,Xuefeng Chen	2023	27
16	An adaptive cepstrum feature representation method with variable frame length and variable filter banks for acoustic emission signals Rui Qin,Jing Huang,Zhifen Zhang,Zhengyao Du,Xianwen Xiang,Yan-Long Yu,Guangrui Wen,Weifeng He,Xuefeng Chen	2023	19
17	A novel bearing fault diagnosis method based on 2D image representation and transfer learning-convolutional neural network Ping Ma,Hongli Zhang,Wenhui Fan,Cong Wang,Guangrui Wen,Xining Zhang	2019	123
18	A New Modelling and Feature Extraction Method Based on Complex Network and Its Application in Machine Fault Diagnosis Qi Zhang,Tian Tian,Guangrui Wen,Zhifen Zhang	2018	4
19	Fault diagnosis of mechanical drives under non-stationary conditions based on manifold learning of kernel mapping Lin Liang,Dan Liu,Guangrui Wen,Guanghua Xu,Yizhuo Zhang	2013	1
20	A new time synchronous average method for variable speed operating condition gearbox Xining Zhang,Guangrui Wen,Tingting Wu	2012	2

About Guangrui Wen

Guangrui Wen is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials, having authored 136 papers that have together received 2.3k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (61 papers), Fault Detection and Control Systems (26 papers), Welding Techniques and Residual Stresses (25 papers), Gear and Bearing Dynamics Analysis (22 papers), Non-Destructive Testing Techniques (20 papers), Engineering Diagnostics and Reliability (15 papers), Industrial Vision Systems and Defect Detection (13 papers) and Surface Treatment and Residual Stress (12 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Mechanical Engineering (1.3k citations) and Industrial and Manufacturing Engineering (344 citations). Guangrui Wen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhifen Zhang, Xuefeng Chen, Zihao Lei, Xin Huang, Shanben Chen, Haoxuan Zhou, Shuzhi Dong, Rui Qin, Wenjing Ren and Bin Xu.

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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