Dongwon Shin

5.7k total citations · 1 hit paper
112 papers, 4.6k citations indexed

About

Dongwon Shin is a scholar working on Materials Chemistry, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Dongwon Shin has authored 112 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Materials Chemistry, 48 papers in Mechanical Engineering and 37 papers in Aerospace Engineering. Recurrent topics in Dongwon Shin's work include Aluminum Alloy Microstructure Properties (23 papers), Aluminum Alloys Composites Properties (15 papers) and Nuclear Materials and Properties (14 papers). Dongwon Shin is often cited by papers focused on Aluminum Alloy Microstructure Properties (23 papers), Aluminum Alloys Composites Properties (15 papers) and Nuclear Materials and Properties (14 papers). Dongwon Shin collaborates with scholars based in United States, South Korea and Japan. Dongwon Shin's co-authors include Zi‐Kui Liu, Axel van de Walle, Yi Wang, Amit Shyam, J. Allen Haynes, Maarten de Jong, Mark Asta, A. Dick, Long‐Qing Chen and Pratyush Tiwary and has published in prestigious journals such as Advanced Materials, Nature Materials and ACS Nano.

In The Last Decade

Dongwon Shin

109 papers receiving 4.5k citations

Hit Papers

Efficient stochastic generation of special quasirandom st... 2013 2026 2017 2021 2013 400 800 1.2k

Peers

Dongwon Shin
Comparison fields: 5 of 90
  • Materials Chemistry 2.8k
  • Mechanical Engineering 2.3k
  • Aerospace Engineering 1.5k
  • Electrical and Electronic Engineering 693
  • Electronic, Optical and Magnetic Materials 636
Replace L.K. Varga with:
L.K. Varga Hungary
A. D. Stoica United States
D.M. Herlach Germany
Chong‐Yu Wang China
Jörg Rottler Canada
Fritz Körmann Germany
Seungwon Lee South Korea
Xin Tong China
Q.F. Fang China
J. Y. Andersson Sweden
L.K. Varga Hungary View profile →
Citations per field, relative to Dongwon Shin
Dongwon Shin · 1×
Citations per year, relative to Dongwon Shin
Dongwon Shin · 1×

Countries citing papers authored by Dongwon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Dongwon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongwon Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Dongwon Shin. A scholar is included among the top collaborators of Dongwon Shin 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 Dongwon Shin. Dongwon Shin 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
# Work Indexed citations
1 2
2 6
3 10
4 6
5 5
6 1
7 3
8 3
9 1
10 6
11 8
12 29
13 14
14 16
15 43
16 22
17
Efficient stochastic generation of special quasirandom structures breakdown →
1242
18 364
19 36
20 21

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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