Zenghui An

1.9k citations

43 papers · 1.6k · 1 hit paper · h-index 22

Impact in

Control and Systems Engineering top 0.5%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Mechanical Engineering top 2%
- Gear and Bearing Dynamics Analysis
- Non-Destructive Testing Techniques
- Mechanical Failure Analysis and Simulation
- Advanced machining processes and optimization

Papers in

Control and Systems Engineering 37
- Machine Fault Diagnosis Techniques 36
- Fault Detection and Control Systems 11
Mechanical Engineering 27
- Gear and Bearing Dynamics Analysis 21
- Advanced machining processes and optimization 3

Co-authors: Shunming Li (28 shared papers)Jinrui Wang (20 shared papers)Xingxing Jiang (10 shared papers)Yu Xin (11 shared papers)Weiwei Qian (7 shared papers)Shanshan Ji (2 shared papers)Kun Xu (5 shared papers)Baokun Han (3 shared papers)
Journals: Measurement Science and Technology (7 papers)Neurocomputing (6 papers)IEEE Access (4 papers)Applied Sciences (3 papers)Measurement (2 papers)
Partner nations: China Germany

In The Last Decade

Zenghui An

42 papers receiving 1.5k citations

Zenghui An's Hit Papers

align trajectories log scale

Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines 2018 · 219 citations

Peers

Countries citing papers authored by Zenghui An

Since Specialization

Citations

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

Fields of papers citing papers by Zenghui An

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines Neurocomputing ·Jinrui Wang, Shunming Li, Zenghui An, Xingxing Jiang, Weiwei Qian, Shanshan Ji Hit paper breakdown →	2018	219
2	A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network ISA Transactions ·Zenghui An, Shunming Li, Jinrui Wang, Xingxing Jiang	2019	183
3	Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method Neurocomputing ·Zenghui An, Shunming Li, Jinrui Wang, Yu Xin, Kun Xu	2019	139
4	General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fault diagnosis Mechanical Systems and Signal Processing ·Zongzhen Zhang, Shunming Li, Jinrui Wang, Yu Xin, Zenghui An	2019	102
5	Hybrid distance-guided adversarial network for intelligent fault diagnosis under different working conditions Measurement ·Baokun Han, Xiao Zhang, Jinrui Wang, Zenghui An, Sixiang Jia, Guowei Zhang	2021	92
6	Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks IEEE Access ·Jinrui Wang, Shunming Li, Baokun Han, Zenghui An, Huaiqian Bao, Shanshan Ji	2019	70
7	Unsupervised domain adaptation via enhanced transfer joint matching for bearing fault diagnosis Measurement ·Zhongwei Zhang, Huaihai Chen, Shunming Li, Zenghui An	2020	62
8	Construction of a batch-normalized autoencoder network and its application in mechanical intelligent fault diagnosis Measurement Science and Technology ·Jinrui Wang, Shunming Li, Baokun Han, Zenghui An, Yu Xin, Weiwei Qian, Qijun Wu	2018	57
9	Imbalanced data based fault diagnosis of the chiller via integrating a new resampling technique with an improved ensemble extreme learning machine Journal of Building Engineering ·Hanyuan Zhang, Wenxin Yang, Weilin Yi, Jit Bing Lim, Zenghui An, Chengdong Li	2023	57
10	An intelligent fault diagnosis framework for raw vibration signals: adaptive overlapping convolutional neural network Measurement Science and Technology ·Weiwei Qian, Shunming Li, Jinrui Wang, Zenghui An, Xingxing Jiang	2018	55
11	Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data Knowledge-Based Systems ·Zenghui An, Xingxing Jiang, Jing Cao, Rui Yang, Xue‐Gang Li	2021	54
12	A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition Neurocomputing ·Zhongwei Zhang, Huaihai Chen, Shunming Li, Zenghui An, Jinrui Wang	2019	49
13	Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis Neurocomputing ·Zongzhen Zhang, Shunming Li, Jinrui Wang, Yu Xin, Zenghui An, Xingxing Jiang	2020	45
14	A renewable fusion fault diagnosis network for the variable speed conditions under unbalanced samples Neurocomputing ·Kun Xu, Shunming Li, Xingxing Jiang, Zenghui An, Jinrui Wang, Tianyi Yu	2019	43
15	Gear Fault Intelligent Diagnosis Based on Frequency-Domain Feature Extraction Journal of Vibration Engineering & Technologies ·Jinrui Wang, Shunming Li, Yu Xin, Zenghui An	2019	43
16	A Novel Real-Time Fault Diagnosis Method for Planetary Gearbox Using Transferable Hidden Layer IEEE Sensors Journal ·Xiaodong Miao, Shunming Li, Yanqi Zhu, Zenghui An	2020	38
17	A novel convolutional transfer feature discrimination network for unbalanced fault diagnosis under variable rotational speeds Measurement Science and Technology ·Kun Xu, Shunming Li, Jinrui Wang, Zenghui An, Weiwei Qian, Huijie Ma	2019	31
18	Sparse filtering based domain adaptation for mechanical fault diagnosis Neurocomputing ·Zhongwei Zhang, Huaihai Chen, Shunming Li, Zenghui An	2020	28
19	An intelligent fault diagnosis framework dealing with arbitrary length inputs under different working conditions Measurement Science and Technology ·Zenghui An, Shunming Li, Yu Xin, Kun Xu, Huijie Ma	2019	26
20	Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions IEEE Transactions on Industrial Informatics ·Zenghui An, Xingxing Jiang, Rui Yang, Hanyuan Zhang, Jie Liu, Changqing Shen	2022	25

About Zenghui An

Zenghui An is a scholar working on Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Artificial Intelligence and Electrical and Electronic Engineering, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (36 papers), Engineering Diagnostics and Reliability (22 papers), Gear and Bearing Dynamics Analysis (21 papers), Fault Detection and Control Systems (11 papers), Advanced machining processes and optimization (3 papers), Machine Learning and ELM (3 papers), Industrial Vision Systems and Defect Detection (2 papers) and Electric Motor Design and Analysis (2 papers). The work is most often cited by research in Control and Systems Engineering (1.4k citations), Mechanical Engineering (844 citations), Mechanics of Materials (474 citations), Industrial and Manufacturing Engineering (80 citations) and Artificial Intelligence (250 citations). Zenghui An has collaborated with scholars based in China and Germany. Frequent co-authors include Shunming Li, Jinrui Wang, Xingxing Jiang, Yu Xin, Weiwei Qian, Shanshan Ji, Kun Xu, Baokun Han, Huaihai Chen and Zongzhen Zhang. Their work appears in journals such as Measurement Science and Technology, Neurocomputing, IEEE Access, Applied Sciences and Measurement.

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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About Zenghui An

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