Song-Yu Han

684 total citations · 2 hit papers
12 papers, 539 citations indexed

About

Song-Yu Han is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Song-Yu Han has authored 12 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 7 papers in Mechanical Engineering and 3 papers in Mechanics of Materials. Recurrent topics in Song-Yu Han's work include Machine Fault Diagnosis Techniques (7 papers), Gear and Bearing Dynamics Analysis (6 papers) and Engineering Diagnostics and Reliability (2 papers). Song-Yu Han is often cited by papers focused on Machine Fault Diagnosis Techniques (7 papers), Gear and Bearing Dynamics Analysis (6 papers) and Engineering Diagnostics and Reliability (2 papers). Song-Yu Han collaborates with scholars based in China, Canada and United Kingdom. Song-Yu Han's co-authors include Haidong Shao, Zhiqiang Huo, Jiafu Wan, Yiming Xiao, Xingkai Yang, Junsheng Cheng, Baoping Cai, Haidong Shao, Junsheng Cheng and Xiang Zhong and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, Building and Environment and Smart Materials and Structures.

In The Last Decade

Song-Yu Han

12 papers receiving 525 citations

Hit Papers

align trajectories

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.

Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain

2022 259 citations Yiming Xiao, Haidong Shao et al. IEEE/ASME Transactions on Mechatronics profile →
Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information

2022 133 citations Song-Yu Han, Haidong Shao et al. IEEE/ASME Transactions on Mechatronics profile →

Peers

Song-Yu Han

CSE

ME

MM

AI

EEE

Rongzhen Zhao China

Chenyu Liu China

Lixiao Cao China

Mohd Syahril Ramadhan Mohd Saufi Malaysia

Biliang Lu China

Tauheed Mian India

Dengyun Sun China

Dongfang Zhao China

Edgar Estupiñán Chile

Moussa Hamadache South Korea

Rongzhen Zhao China

Song-Yu Han

361 ×0.8

CSE

220 ×0.9

ME

115 ×0.9

MM

77 ×0.8

AI

64 ×1.1

EEE

Citations per year, relative to Song-Yu Han Song-Yu Han (= 1×) peers Rongzhen Zhao

Countries citing papers authored by Song-Yu Han

Since Specialization

Citations

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

Fields of papers citing papers by Song-Yu Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song-Yu Han

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Han, Song-Yu, et al.. (2023). A new framework for intelligent fault diagnosis of spiral bevel gears with unbalanced data. Applied Intelligence. 53(18). 21312–21324. 7 indexed citations

2.

Yang, J. N., et al.. (2023). Machinery fault diagnosis using multi-scale feature focused network and adaptive cost-sensitive loss towards imbalanced dataset. Measurement Science and Technology. 34(12). 125012–125012. 6 indexed citations

3.

Li, Ye, et al.. (2023). Intelligent fault diagnosis for high-speed bearing towards unbalanced samples via convolutional weight adaptive network. Journal of Engineering Design. 36(7-9). 1069–1092. 3 indexed citations

4.

Han, Song-Yu, Haidong Shao, Junsheng Cheng, Xingkai Yang, & Baoping Cai. (2022). Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information. IEEE/ASME Transactions on Mechatronics. 28(1). 340–349. 133 indexed citations breakdown →

5.

Xiao, Yiming, Haidong Shao, Song-Yu Han, Zhiqiang Huo, & Jiafu Wan. (2022). Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain. IEEE/ASME Transactions on Mechatronics. 27(6). 5254–5263. 259 indexed citations breakdown →

6.

Han, Song-Yu, Haidong Shao, Zhiqiang Huo, Xingkai Yang, & Junsheng Cheng. (2022). End-to-end chiller fault diagnosis using fused attention mechanism and dynamic cross-entropy under imbalanced datasets. Building and Environment. 212. 108821–108821. 49 indexed citations

7.

Han, Song-Yu, et al.. (2021). Novel multi-scale dilated CNN-LSTM for fault diagnosis of planetary gearbox with unbalanced samples under noisy environment. Measurement Science and Technology. 32(12). 124002–124002. 46 indexed citations

8.

Han, Song-Yu, et al.. (2021). Gearbox Fault Diagnosis using Novel Dilated CNN and Piecewise Loss Function under Unbalanced Data. 3 indexed citations

9.

Han, Song-Yu, et al.. (2010). Design and Capability Analyze of High Dynamic Carrier Tracking Loop Based on UKF. 1960–1966. 6 indexed citations

10.

Hwang, Chih‐Lyang & Song-Yu Han. (2007). Fuzzy Mixed ${{H^{2}}/{H^{\infty}}}$ Optimization-Based Decentralized Model Reference Control and Application to Piezo-Driven XY Table Systems. IEEE Transactions on Fuzzy Systems. 15(2). 145–160. 7 indexed citations

11.

Hwang, Chih‐Lyang, et al.. (2005). A Network-Based Fuzzy Decentralized Sliding-Mode Control for Car-Like Mobile Robots. 15. 61–66. 1 indexed citations

12.

Choi, Seung‐Bok, et al.. (1999). control of structure-borne noise of a plate featuring piezoceramic actuators. Smart Materials and Structures. 8(1). 1–12. 19 indexed citations

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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