Seung-Han Yang

148 papers receiving 2.5k citations

Peers

Seung-Han Yang
Comparison fields: 5 of 85
  • Mechanical Engineering 2.2k
  • Industrial and Manufacturing Engineering 435
  • Computational Mechanics 809
  • Statistics, Probability and Uncertainty 249
  • Computer Vision and Pattern Recognition 311
Replace Han Haitjema with:
Han Haitjema Netherlands
J.R.R. Mayer Canada
M.S. Shunmugam India
Kazuo Yamazaki United States
Xiaoping Qian United States
Baotong Li China
Yu Huang China
Wu-Le Zhu China
Niels Aage Denmark
Akihiro Takezawa Japan
Seung-Han Yang relative to Han Haitjema Netherlands Han Haitjema's profile →
Citations per field
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Han Haitjema · 1×
Citations per year

Countries citing papers authored by Seung-Han Yang

Since Specialization
Citations

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

Fields of papers citing papers by Seung-Han Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Seung-Han Yang, 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 Seung-Han Yang Line = papers co-authored together Seung-Han Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010148
2 2005128
3 2013118
4 199699
5 200589
6 200887
7 199683
8 200283
9 201377
10 201168
11 201167
12 201367
13 200764
14 200959
15 201258
16 200453
17 199744
18 200841
19 200341
20 201538

About Seung-Han Yang

Seung-Han Yang is a scholar working on Mechanical Engineering, Computational Mechanics, Biomedical Engineering, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 168 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (76 papers), Advanced machining processes and optimization (71 papers), Advanced Numerical Analysis Techniques (28 papers), Advanced Surface Polishing Techniques (27 papers), Scientific Measurement and Uncertainty Evaluation (22 papers), Manufacturing Process and Optimization (18 papers), Optical measurement and interference techniques (17 papers) and Iterative Learning Control Systems (16 papers). The work is most often cited by research in Mechanical Engineering (2.2k citations), Industrial and Manufacturing Engineering (435 citations), Computational Mechanics (809 citations), Statistics, Probability and Uncertainty (249 citations) and Computer Vision and Pattern Recognition (311 citations). Seung-Han Yang has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Kwang-Il Lee, J. Yuan, M. Sekar, Jun Ni, J. Srinivas, Shin‐Hyun Kim, Jinhyeon Lee, U. Natarajan, Yu Liu and Jae Ha Lee. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, International Journal of Precision Engineering and Manufacturing, Journal of Materials Processing Technology, International Journal of Machine Tools and Manufacture and Journal of the Korean Society for Precision Engineering.

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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