Yaqiang Sun

921 total citations · 1 hit paper
6 papers, 748 citations indexed

About

Yaqiang Sun is a scholar working on Control and Systems Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Yaqiang Sun has authored 6 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 2 papers in Mechanical Engineering and 1 paper in Automotive Engineering. Recurrent topics in Yaqiang Sun's work include Machine Fault Diagnosis Techniques (3 papers), Fault Detection and Control Systems (2 papers) and Gear and Bearing Dynamics Analysis (2 papers). Yaqiang Sun is often cited by papers focused on Machine Fault Diagnosis Techniques (3 papers), Fault Detection and Control Systems (2 papers) and Gear and Bearing Dynamics Analysis (2 papers). Yaqiang Sun collaborates with scholars based in China and Norway. Yaqiang Sun's co-authors include Lei Ren, Jin Cui, Zhang Li, Xuejun Cheng, Hao Wang, Peng Zhang, Wenqing Hu, Kang Qian, Peng Fu and Jie Hao and has published in prestigious journals such as IEEE Access, Journal of Manufacturing Systems and Frontiers in Neurology.

In The Last Decade

Yaqiang Sun

4 papers receiving 726 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.

Bearing remaining useful life prediction based on deep autoencoder and deep neural networks

2018 307 citations Lei Ren, Yaqiang Sun et al. Journal of Manufacturing Systems profile →

Peers

Yaqiang Sun

CSE

ME

SRRQ

MM

IME

Diego Tobon-Mejia France

Jialin Li China

Jianghong Zhou China

Szymon Gontarz Poland

Seokgoo Kim South Korea

Gaoliang Peng China

Chengying Zhao China

Yizhen Peng China

Jacek Dybała Poland

Sheng Guo China

Diego Tobon-Mejia France

Yaqiang Sun

459 ×0.8

CSE

256 ×0.7

ME

216 ×1.3

SRRQ

131 ×0.9

MM

100 ×1.1

IME

Citations per year, relative to Yaqiang Sun Yaqiang Sun (= 1×) peers Diego Tobon-Mejia

Countries citing papers authored by Yaqiang Sun

Since Specialization

Citations

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

Fields of papers citing papers by Yaqiang Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaqiang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yaqiang Sun. A scholar is included among the top collaborators of Yaqiang Sun 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 Yaqiang Sun. Yaqiang Sun 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:

6 of 6 papers shown

1.

Cui, Yi, et al.. (2025). Digital twin for marine diesel engine: enhancing predictive maintenance and operational efficiency. IET conference proceedings.. 2024(13). 980–987.

2.

Cui, Jin, et al.. (2025). YOLO-Rep: lightweight UAV visual tracking algorithm. IET conference proceedings.. 2024(13). 1389–1394.

3.

Qian, Kang, Jiajing Wang, Peng Zhang, et al.. (2023). Intraoperative microelectrode recording under general anesthesia guided subthalamic nucleus deep brain stimulation for Parkinson's disease: One institution's experience. Frontiers in Neurology. 14. 1117681–1117681. 8 indexed citations

4.

Ren, Lei, Yaqiang Sun, Hao Wang, & Zhang Li. (2018). Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network. IEEE Access. 6. 13041–13049. 200 indexed citations

5.

Ren, Lei, Yaqiang Sun, Jin Cui, & Zhang Li. (2018). Bearing remaining useful life prediction based on deep autoencoder and deep neural networks. Journal of Manufacturing Systems. 48. 71–77. 307 indexed citations breakdown →

6.

Ren, Lei, Jin Cui, Yaqiang Sun, & Xuejun Cheng. (2017). Multi-bearing remaining useful life collaborative prediction: A deep learning approach. Journal of Manufacturing Systems. 43. 248–256. 233 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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