Yong Jin

507 total citations · 1 hit paper
29 papers, 380 citations indexed

About

Yong Jin is a scholar working on Mechanical Engineering, Mechanics of Materials and Automotive Engineering. According to data from OpenAlex, Yong Jin has authored 29 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanical Engineering, 10 papers in Mechanics of Materials and 4 papers in Automotive Engineering. Recurrent topics in Yong Jin's work include Tribology and Lubrication Engineering (16 papers), Gear and Bearing Dynamics Analysis (13 papers) and Hydraulic and Pneumatic Systems (5 papers). Yong Jin is often cited by papers focused on Tribology and Lubrication Engineering (16 papers), Gear and Bearing Dynamics Analysis (13 papers) and Hydraulic and Pneumatic Systems (5 papers). Yong Jin collaborates with scholars based in China, South Korea and United Kingdom. Yong Jin's co-authors include Zhenglin Liu, Wu Ouyang, Maohua Xiao, Xinping Yan, Xincong Zhou, Qilin Liu, Xiaoyang Yuan, Xuebing Zhang, Qianwen Huang and Zhuo Zhang and has published in prestigious journals such as Energy & Fuels, Wear and Review of Scientific Instruments.

In The Last Decade

Yong Jin

25 papers receiving 366 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.

Review of the evolution and prevention of friction, wear, and noise for water-lubricated bearings used in ships

2023 81 citations Zhuo Zhang, Wu Ouyang et al. Friction profile →

Peers

Yong Jin

ME

MM

CSE

AE

PP

Xingxin Liang China

Michał Wodtke Poland

Kang Yang China

Tianyou Yang China

Sanjib Kumar Acharyya India

Alastair Clarke United Kingdom

Michał Wasilczuk Poland

Abdelkader Slimane Algeria

Hubert Schwarze Germany

Xingxin Liang China

Yong Jin

367 ×1.1

ME

242 ×1.4

MM

54 ×1.3

CSE

20 ×0.7

AE

27 ×1.1

PP

Citations per year, relative to Yong Jin Yong Jin (= 1×) peers Xingxin Liang

Countries citing papers authored by Yong Jin

Since Specialization

Citations

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

Fields of papers citing papers by Yong Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Jin

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

20 of 20 papers shown

1.

Yue, B. B., et al.. (2025). Research on SPAD Inversion of Rice Leaves at a Field Scale Based on Machine Vision and Leaf Segmentation Techniques. Agriculture. 15(12). 1270–1270. 1 indexed citations

2.

Zhang, Tonggang, Ruiqing Li, Yong Jin, et al.. (2025). Structural health monitoring of water-lubricated stern bearing systems based on digital twins. Ocean Engineering. 345. 123844–123844.

3.

Liu, Qilin, et al.. (2025). Distributed tribo-dynamic characteristics of full-size water-lubricated stern bearing. Ocean Engineering. 340. 122371–122371. 2 indexed citations

4.

Li, Ruiqing, Wu Ouyang, Qilin Liu, Yong Jin, & Jun Yang. (2024). Dynamic bearing characteristics of the ship stern shaft-bearing system with wave impact. Ocean Engineering. 312. 119020–119020. 3 indexed citations

5.

Liu, Qilin, Wu Ouyang, Ruiqing Li, Yong Jin, & Tao He. (2023). Experimental research on lubrication and vibration characteristics of water-lubricated stern bearing for underwater vehicles under extreme working conditions. Wear. 523. 204778–204778. 18 indexed citations

6.

Zhang, Zhuo, Wu Ouyang, Xingxin Liang, et al.. (2023). Review of the evolution and prevention of friction, wear, and noise for water-lubricated bearings used in ships. Friction. 12(1). 1–38. 81 indexed citations breakdown →

7.

Jin, Yong, et al.. (2023). Feature Recognition on Friction Induced Vibration of Water-Lubricated Bearing under Low Speed and Heavy Load. Journal of Marine Science and Engineering. 11(3). 465–465. 5 indexed citations

8.

Wang, Zhilin, et al.. (2023). Novel Way to Predict the MMP of a CO₂–Oil System Using Stacking Models. Energy & Fuels. 37(2). 935–944. 12 indexed citations

9.

Ouyang, Wu, et al.. (2022). Identification of Distributed Dynamic Characteristics of Journal Bearing with Large Aspect Ratio under Shaft Bending. Journal of Marine Science and Engineering. 10(5). 658–658. 5 indexed citations

10.

Ouyang, Wu, et al.. (2021). Lubrication Performance Distribution of Large Aspect Ratio Water-Lubricated Bearings Considering Deformation and Shaft Bending. Tribology Transactions. 64(4). 730–743. 26 indexed citations

11.

Zhang, Shengdong, et al.. (2021). Stick-slip vibration in water-lubricated bearing-shaft system simulated in persistent homology-based machine learning model. Journal of Vibroengineering. 23(5). 1065–1078. 2 indexed citations

12.

Jin, Yong, et al.. (2020). Vibration Reduction Performance of Damping-Enhanced Water-Lubricated Bearing Using Fluid-Saturated Perforated Slabs. Chinese Journal of Mechanical Engineering. 33(1). 4 indexed citations

13.

Jin, Yong, et al.. (2018). Study on influencing factors of lubrication performance of water-lubricated micro-groove bearing. Tribology International. 129. 390–397. 88 indexed citations

14.

Ouyang, Wu, Xuebing Zhang, Yong Jin, & Xiaoyang Yuan. (2018). Experimental Study on the Dynamic Performance of Water‐Lubricated Rubber Bearings with Local Contact. Shock and Vibration. 2018(1). 34 indexed citations

15.

Jin, Yong, et al.. (2016). Influence of Damping Layer on Dynamic Performance of Water-lubricated Rubber Bearings. 36(4). 37. 1 indexed citations

16.

Huang, Qianwen, Xinping Yan, Yikun Wang, Cong Zhang, & Yong Jin. (2016). Numerical and experimental analysis of coupled transverse and longitudinal vibration of a marine propulsion shaft. Journal of Mechanical Science and Technology. 30(12). 5405–5412. 23 indexed citations

17.

Huang, Qianwen, Cong Zhang, Yong Jin, Chengqing Yuan, & Xinping Yan. (2015). Vibration analysis of marine propulsion shafting by the coupled finite element method. Journal of Vibroengineering. 17(7). 3392–3403. 16 indexed citations

18.

Hu, Yefa, et al.. (2015). Material design and failure experiment of a carbon fibre reinforced plastics drive shaft. Materials Research Innovations. 19(sup5). S5–458. 2 indexed citations

19.

Jin, Yong & Lin Zheng. (2010). Research on Fault Diagnosis of Ship Stern Bearing Based on Vibration Analysis. Advanced materials research. 139-141. 2354–2358. 2 indexed citations

20.

Jin, Yong. (2003). Discussion of Design Method of Frozen Wall as Supporting of Foundation Pits. Journal of China University of Mining and Technology. 1 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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