Shengkai Yu

1.4k citations
96 papers · 1.1k · h-index 19

Impact in

Papers in

Shengkai Yu

85 papers receiving 1.0k citations

Peers

Shengkai Yu
Comparison fields: 5 of 52
  • Mechanics of Materials 574
  • Atomic and Molecular Physics, and Optics 407
  • Acoustics and Ultrasonics 11
  • Mechanical Engineering 419
  • Computational Mechanics 178
Replace K. Ohira with:
K. Ohira Japan
Raj Kumar Pal United States
Kazuya Kobayashi Japan
Victor Lefèvre United States
D. K. Bhattacharya India
Feng Zhou United States
No‐Cheol Park South Korea
Wenxia Pan China
Weijie Chang China
Stefan Risse Germany
Shengkai Yu relative to K. Ohira Japan K. Ohira's profile →
Citations per field
00.5×3.3×
K. Ohira · 1×
Citations per year

Countries citing papers authored by Shengkai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shengkai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shengkai Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shengkai Yu Line = papers co-authored together Shengkai Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 202086
3 202078
4 200952
5 200737
6 201234
7 200833
8 200727
9 200027
10 200826
11 201025
12 200625
13 200924
14 200624
15 201122
16 201222
17 200621
18 200920
19 201120
20 200917

About Shengkai Yu

Shengkai Yu is a scholar working on Mechanics of Materials, Mechanical Engineering, Computational Mechanics, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adhesion, Friction, and Surface Interactions (67 papers), Tribology and Lubrication Engineering (43 papers), Gear and Bearing Dynamics Analysis (16 papers), Fluid Dynamics and Thin Films (9 papers), Surface Roughness and Optical Measurements (9 papers), Iterative Learning Control Systems (8 papers), Diamond and Carbon-based Materials Research (8 papers) and Quantum Information and Cryptography (7 papers). The work is most often cited by research in Mechanics of Materials (574 citations), Atomic and Molecular Physics, and Optics (407 citations), Acoustics and Ultrasonics (11 citations), Mechanical Engineering (419 citations) and Computational Mechanics (178 citations). Shengkai Yu has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Wei Hua, Weidong Zhou, B. Liu, Jietai Jing, C.H. Wong, Xiaozhou Pan, Mingsheng Zhang, Sijin Li, Wei Wang and Kai Zhang. Their work appears in journals such as IEEE Transactions on Magnetics, Microsystem Technologies, Tribology Letters, Tribology International and Japanese Journal of Applied Physics.

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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