Wonseok Jeong

756 citations
27 papers · 531 indexed · h-index 13
Topics
Machine Learning in Materials Science (15 papers)X-ray Diffraction in Crystallography (6 papers)Electronic and Structural Properties of Oxides (3 papers)

In The Last Decade

Wonseok Jeong

23 papers receiving 525 citations

Peers

Wonseok Jeong
Comparison fields: 5 of 66
  • Materials Chemistry 429
  • Electrical and Electronic Engineering 145
  • Mechanical Engineering 72
  • Mechanics of Materials 58
  • Computational Theory and Mathematics 56
Replace Shin Kiyohara with:
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Kevin Tibbetts United States
Peichen Zhong United States
Kazume Nishidate Japan
Morten N. Gjerding Denmark
Min Young Ha South Korea
S. Hara Japan
Christopher K. H. Borg United States
He Ma China
Nicki F. Hinsche Germany
Wonseok Jeong relative to Shin Kiyohara Japan Shin Kiyohara's profile →
Citations per field
00.5×3.2×
Shin Kiyohara · 1×
Citations per year

Countries citing papers authored by Wonseok Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Wonseok Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wonseok Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Wonseok Jeong. A scholar is included among the top collaborators of Wonseok Jeong 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 Wonseok Jeong. Wonseok Jeong 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
#WorkIndexed citations
1 0
2 8
3 2
4 5
5 10
6 17
7 1
8 26
9 28
10 77
11 19
12 25
13 57
14 34
15 97
16 0
17 7
18
Radiographic Diagnosis of Hypospadias in Three Korean Native Calves
2
19
Two Case of Bilateral Cranial Cruciate Ligament Rupture Corrected Tibial Wedge Osteotomy
0
20
A Case of Low Grade MALT Lymphoma Presented as Submucosal Tumor without Mucosal Lesion.
2

About Wonseok Jeong

Wonseok Jeong is a scholar working on Structural Biology, Materials Chemistry and Ceramics and Composites, having authored 27 papers that have together received 531 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (15 papers), X-ray Diffraction in Crystallography (6 papers) and Electronic and Structural Properties of Oxides (3 papers). The work is most often cited by research in Materials Chemistry (429 citations), Structural Biology (10 citations) and Catalysis (30 citations). Wonseok Jeong has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seungwu Han, Dongsun Yoo, Kyuhyun Lee, Dong-Heon Lee, Chang‐Ho Hong, Sungwoo Kang, Heung Nam Han, Yong Youn, Myoung‐Gyu Lee and Sangtae Kim. Their work appears in journals such as Journal of the American Chemical Society, Chemistry of Materials and Acta Materialia.

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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