Shaogan Ye

963 total citations
32 papers, 751 citations indexed

About

Shaogan Ye is a scholar working on Mechanical Engineering, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, Shaogan Ye has authored 32 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mechanical Engineering, 15 papers in Mechanics of Materials and 7 papers in Control and Systems Engineering. Recurrent topics in Shaogan Ye's work include Hydraulic and Pneumatic Systems (29 papers), Cavitation Phenomena in Pumps (14 papers) and Refrigeration and Air Conditioning Technologies (9 papers). Shaogan Ye is often cited by papers focused on Hydraulic and Pneumatic Systems (29 papers), Cavitation Phenomena in Pumps (14 papers) and Refrigeration and Air Conditioning Technologies (9 papers). Shaogan Ye collaborates with scholars based in China, Australia and South Korea. Shaogan Ye's co-authors include Bing Xu, Junhui Zhang, Jiawei Xiang, Hesheng Tang, Shiqiang Zhu, Liang Hou, Wei Song, Yongteng Zhong, Yan Ren and Xiangjian Bu and has published in prestigious journals such as IEEE Access, Mechanical Systems and Signal Processing and Wear.

In The Last Decade

Shaogan Ye

28 papers receiving 743 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shaogan Ye China 16 561 285 222 158 114 32 751
Alberto Luiz Serpa Brazil 14 192 0.3× 121 0.4× 169 0.8× 59 0.4× 233 2.0× 40 626
Jiahai Huang China 16 521 0.9× 380 1.3× 125 0.6× 129 0.8× 87 0.8× 49 745
Emiliano Mucchi Italy 19 779 1.4× 298 1.0× 264 1.2× 27 0.2× 63 0.6× 97 1.0k
Massimo Rundo Italy 20 920 1.6× 240 0.8× 385 1.7× 100 0.6× 55 0.5× 70 1.0k
Yinghou Jiao China 15 481 0.9× 339 1.2× 117 0.5× 19 0.1× 69 0.6× 90 764
Nacer Hamzaoui France 12 435 0.8× 539 1.9× 183 0.8× 13 0.1× 92 0.8× 27 738
Jian Han China 14 570 1.0× 411 1.4× 204 0.9× 15 0.1× 66 0.6× 55 890
Matti Linjama Finland 16 685 1.2× 480 1.7× 79 0.4× 103 0.7× 91 0.8× 94 803
Qingdong Yan China 13 379 0.7× 108 0.4× 283 1.3× 82 0.5× 54 0.5× 88 567
Qun Chao China 22 1.0k 1.8× 398 1.4× 431 1.9× 383 2.4× 101 0.9× 54 1.2k

Countries citing papers authored by Shaogan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Shaogan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaogan Ye

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

All Works

20 of 20 papers shown
1.
Ye, Shaogan, Changjie Zheng, Yun Chen, et al.. (2025). Dynamic modeling and vibration characteristics analysis of a small axial piston pump considering gyroscopic effects of the rotating elements. Mechanics Based Design of Structures and Machines. 54(1).
2.
Ye, Shaogan, et al.. (2025). A novel method for fast calculation of the noise emission from an axial piston pump. Noise Control Engineering Journal. 73(1). 24–37.
3.
Huang, Chao‐Tsai, et al.. (2025). Study on the running-in tribological performance and mechanism of the valve plate with surface texture for axial piston pumps. Wear. 574-575. 206085–206085. 4 indexed citations
4.
Ye, Shaogan, et al.. (2025). Dynamic characteristics analyses of coupled-multibody axial piston pump model. International Journal of Mechanical Sciences. 299. 110379–110379. 3 indexed citations
5.
Ye, Shaogan, et al.. (2025). A new coupled dynamic model to study the vibration and lubrication characteristics of slipper/swash-plate interface in an axial piston pump. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 239(8). 1026–1049. 8 indexed citations
6.
Ye, Shaogan, et al.. (2025). Dynamic model-based multi-objective optimization of valve plate for vibration reduction in axial piston pumps. Chinese Journal of Aeronautics. 104045–104045. 2 indexed citations
7.
8.
Ye, Shaogan, et al.. (2024). Instantaneous flow area calculation for modeling an axial piston pump: A point cloud-based technique. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 238(7). 1148–1157. 2 indexed citations
9.
Xiang, Jiawei, et al.. (2020). Method using L-kurtosis and enhanced clustering-based segmentation to detect faults in axial piston pumps. Mechanical Systems and Signal Processing. 147. 107130–107130. 45 indexed citations
10.
Ye, Shaogan, Junhui Zhang, Bing Xu, et al.. (2020). A theoretical dynamic model to study the vibration response characteristics of an axial piston pump. Mechanical Systems and Signal Processing. 150. 107237–107237. 83 indexed citations
11.
Zhang, Junhui, et al.. (2019). A Spare Support Vector Machine Based Fault Detection Strategy on Key Lubricating Interfaces of Axial Piston Pumps. IEEE Access. 7. 178177–178186. 30 indexed citations
12.
Ye, Shaogan, Hesheng Tang, Yan Ren, & Jiawei Xiang. (2019). Study on the load-carrying capacity of surface textured slipper bearing of axial piston pump. Applied Mathematical Modelling. 77. 554–584. 39 indexed citations
13.
Zhang, Junhui, et al.. (2019). A mechanical fault detection strategy based on the doubly iterative empirical mode decomposition. Applied Acoustics. 155. 346–357. 25 indexed citations
14.
Ye, Shaogan, Liang Hou, Xiangjian Bu, et al.. (2019). Transfer path analysis and its application in low-frequency vibration reduction of steering wheel of a passenger vehicle. Applied Acoustics. 157. 107021–107021. 28 indexed citations
15.
Zhang, Junhui, Shaogan Ye, Bing Xu, et al.. (2018). Experimental investigation on the sharpness reduction of an axial piston pump with reinforced shell. Applied Acoustics. 142. 36–43. 13 indexed citations
16.
Tang, Hesheng, et al.. (2018). A Walsh transform-based Teager energy operator demodulation method to detect faults in axial piston pumps. Measurement. 134. 293–306. 43 indexed citations
17.
Zhang, Junhui, Shaogan Ye, Bing Xu, et al.. (2018). Experimental investigation on the noise reduction of an axial piston pump using free-layer damping material treatment. Applied Acoustics. 139. 1–7. 62 indexed citations
18.
Ye, Shaogan, Junhui Zhang, Bing Xu, Wei Song, & Shiqiang Zhu. (2018). Experimental studies of the vibro-acoustic characteristics of an axial piston pump under run-up and steady-state operating conditions. Measurement. 133. 522–531. 16 indexed citations
19.
Xu, Bing, Shaogan Ye, & Junhui Zhang. (2016). Numerical and experimental studies on housing optimization for noise reduction of an axial piston pump. Applied Acoustics. 110. 43–52. 29 indexed citations
20.

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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