Kun Yu

3.4k total citations · 4 hit papers
83 papers, 2.4k citations indexed

About

Kun Yu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Kun Yu has authored 83 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Control and Systems Engineering, 29 papers in Mechanical Engineering and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Kun Yu's work include Machine Fault Diagnosis Techniques (34 papers), Gear and Bearing Dynamics Analysis (19 papers) and Fault Detection and Control Systems (9 papers). Kun Yu is often cited by papers focused on Machine Fault Diagnosis Techniques (34 papers), Gear and Bearing Dynamics Analysis (19 papers) and Fault Detection and Control Systems (9 papers). Kun Yu collaborates with scholars based in China, Canada and Germany. Kun Yu's co-authors include Hui Ma, Tian Ran Lin, Yongchao Zhang, Ke Feng, Zhaohui Ren, Xiang Li, Zheng Liu, Jin Zeng, Hongfei Li and Xu Li and has published in prestigious journals such as Expert Systems with Applications, Energy and Applied Thermal Engineering.

In The Last Decade

Kun Yu

77 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.

A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning

2020 244 citations Kun Yu, Tian Ran Lin et al. Mechanical Systems and Signal Processing profile →
Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing

2023 236 citations Yongchao Zhang, Jinchen Ji et al. Reliability Engineering & System Safety profile →
Universal source-free domain adaptation method for cross-domain fault diagnosis of machines

2023 109 citations Yongchao Zhang, Zhaohui Ren et al. Mechanical Systems and Signal Processing profile →
Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning

2023 98 citations Yongchao Zhang, Kun Yu et al. Expert Systems with Applications profile →

Peers

Countries citing papers authored by Kun Yu

Since Specialization

Citations

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

Fields of papers citing papers by Kun Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Yu. A scholar is included among the top collaborators of Kun Yu 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 Kun Yu. Kun Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A novel lightweight DDPM-based data augmentation method for rotating machinery fault diagnosis with small sample 2025 ·Mechanical Systems and Signal Processing ·(unknown), Yongchao Zhang, (unknown), Kun Yu, Zeyu Ma	13
2	Analysis of climatic conditions effect on passive containment cooling system reliability in AP1000 for multi-unit nuclear power plant site 2024 ·Progress in Nuclear Energy ·(unknown), (unknown), Guanyu Liu, Fenglei Niu, Yan Dong, Kun Yu	3
3	The difference in hydrochemical characteristics of geothermal water between the eastern and western parts of the Wugongshan area and its genetic mechanism 2024 ·Journal of Geochemical Exploration ·(unknown), (unknown), Jinkai Yan, Yaoyao Zhang, (unknown), Kun Yu, Yao-Zhong Zhang, Luyao Wang, (unknown)	3
4	Performance analysis and PID control strategy optimization of the electronic expansion valve on the single-tube heat exchange experimental platform 2024 ·Applied Thermal Engineering ·Jinfeng Wang, Hang Xu, Kan Wang, Jing Xie, Kun Yu, (unknown), (unknown), X. Han	4
5	Dual Structural Consistent Partial Domain Adaptation Network for Intelligent Machinery Fault Diagnosis 2024 ·IEEE Transactions on Instrumentation and Measurement ·Kun Yu, Xuesong Wang, Yuhu Cheng, Ke Feng, Yongchao Zhang, (unknown)	4
6	Integrated Multimodal Fault Diagnosis of Industrial Gearboxes Using Vibration Signals and Infrared Thermal Imaging 2024 ·(unknown), Yan Li, Kun Yu, Yongchao Zhang	1
7	Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing breakdown → 2023 ·Reliability Engineering & System Safety ·Yongchao Zhang, Jinchen Ji, Zhaohui Ren, Qing Ni, Fengshou Gu, Ke Feng, Kun Yu, Jian Ge, Zihao Lei, Zheng Liu	236
8	Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning breakdown → 2023 ·Expert Systems with Applications ·Yongchao Zhang, Kun Yu, Zihao Lei, Jian Ge, Yadong Xu, Zhixiong Li, Zhaohui Ren, Ke Feng	98
9	Lumbar spine segmentation method based on deep learning 2023 ·Journal of Applied Clinical Medical Physics ·(unknown), Mingying Li, Kun Yu, Yingjiao Zhang, (unknown)	11
10	Alternated Greedy-Step Deterministic Policy Gradient 2023 ·IEEE Transactions on Cognitive and Developmental Systems ·Xuesong Wang, (unknown), Yang Gu, (unknown), Kun Yu, Yuhu Cheng	1
11	Fault Traveling Wave Detection Method based on ICEEMDAN-MCKD 2023 ·Journal of Physics Conference Series ·(unknown), (unknown), Kun Yu	0
12	A novel metric-based model with the ability of zero-shot learning for intelligent fault diagnosis 2023 ·Engineering Applications of Artificial Intelligence ·(unknown), Yongchao Zhang, Hui Ma, Zeyu Ma, Kun Yu, Songtao Zhao, Xiaoxu Zhang	33
13	Differentiation of lumbar disc herniation and lumbar spinal stenosis using natural language processing–based machine learning based on positive symptoms 2022 ·Neurosurgical FOCUS ·(unknown), Kun Yu, Zhi‐Yang Xie, (unknown), (unknown), (unknown), Yuntao Wang, Xiaotao Wu	12
14	Anti-Martingale Proximal Policy Optimization 2022 ·IEEE Transactions on Cybernetics ·Yang Gu, Yuhu Cheng, Kun Yu, Xuesong Wang	7
15	Simulation data driven weakly supervised adversarial domain adaptation approach for intelligent cross-machine fault diagnosis 2020 ·Structural Health Monitoring ·Kun Yu, Qiang Fu, Hui Ma, Tian Ran Lin, Xiang Li	83
16	Symmetric co-training based unsupervised domain adaptation approach for intelligent fault diagnosis of rolling bearing 2020 ·Measurement Science and Technology ·Kun Yu, Hongzheng Han, Qiang Fu, Hui Ma, Jin Zeng	19
17	Loss calculation of smart distribution grid based on the similarity of feeder loss 2017 ·Zhe Chen, Wei‐Ping Zhu, (unknown), Qian Zhou, (unknown), Kun Yu	1
18	Rolling Bearing Fault Diagnosis Research Based on Multi-sensor Information Fusion 2016 ·Kun Yu, (unknown), Shan Li	2
19	An Optimal Power Flow Model for the Urban Power Grid Considering Environment Cost 2010 ·Dianli xitong zidonghua ·Xingying Chen, Gang Li, (unknown), Kun Yu	3
20	Resume Information Extraction Based on Cascaded Double-layer Classification 2006 ·Zhongwen xinxi xuebao ·Kun Yu, Qingbo He	1

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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