Youn-Sha Chan

413 citations
13 papers · 322 indexed · h-index 8
Topics
Numerical methods in engineering (9 papers)Composite Structure Analysis and Optimization (7 papers)Nonlocal and gradient elasticity in micro/nano structures (7 papers)
Partner nations
United StatesJapan

In The Last Decade

Youn-Sha Chan

11 papers receiving 315 citations

Peers

Youn-Sha Chan
Comparison fields: 5 of 26
  • Mechanics of Materials 297
  • Materials Chemistry 163
  • Civil and Structural Engineering 49
  • Biomedical Engineering 16
  • Control and Systems Engineering 15
Replace Anna Y. Zemlyanova with:
Anna Y. Zemlyanova United States
Mohsen A. Fayik Egypt
Samia M. Said Egypt
Edoardo Scarpetta Italy
P. J. Chen United States
A. M. Abd El‐Latief Egypt
Khaled A. Elsibai Egypt
Giuseppe Grioli Italy
Yongbin Ma China
Hao Tian-hu China
Youn-Sha Chan relative to Anna Y. Zemlyanova United States Anna Y. Zemlyanova's profile →
Citations per field
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Anna Y. Zemlyanova · 1×
Citations per year

Countries citing papers authored by Youn-Sha Chan

Since Specialization
Citations

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

Fields of papers citing papers by Youn-Sha Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youn-Sha Chan. 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 Youn-Sha Chan. The network helps show where Youn-Sha Chan may publish in the future.

Co-authorship network of co-authors of Youn-Sha Chan

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 0
3 0
4 2
5 30
6 1
7 16
8 11
9 70
10 61
11 53
12 64
13 12

About Youn-Sha Chan

Youn-Sha Chan is a scholar working on Mechanics of Materials, Modeling and Simulation and Statistical and Nonlinear Physics, having authored 13 papers that have together received 322 indexed citations. Recurring topics across this work include Numerical methods in engineering (9 papers), Composite Structure Analysis and Optimization (7 papers) and Nonlocal and gradient elasticity in micro/nano structures (7 papers). The work is most often cited by research in Mechanics of Materials (297 citations), Materials Chemistry (163 citations) and Civil and Structural Engineering (49 citations). Youn-Sha Chan has collaborated with scholars based in United States and Japan. Frequent co-authors include Gláucio H. Paulino, Albert Fannjiang, L. J. Gray, T. A. Kaplan, Bao‐Feng Feng, Taketomo Mitsui, Takuji Kawahara and Alok Sutradhar. Their work appears in journals such as Journal of Applied Mechanics, International Journal of Solids and Structures and SIAM Journal on Applied Mathematics.

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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