Sunghwan Choi

1.9k citations
33 papers · 1.6k indexed · 1 hit paper · h-index 12
Topics
Advanced Chemical Physics Studies (11 papers)Machine Learning in Materials Science (9 papers)Computational Drug Discovery Methods (7 papers)

In The Last Decade

Sunghwan Choi

31 papers receiving 1.6k citations

Hit Papers

Non‐Covalent Self‐Assembly and Covalent Polymerization Co...201220262016202120124008001.2k

Peers

Sunghwan Choi
Comparison fields: 5 of 113
  • Surfaces, Coatings and Films 568
  • Materials Chemistry 483
  • Biomedical Engineering 459
  • Electrical and Electronic Engineering 302
  • Biomaterials 289
Replace Wenfeng Jiang with:
Wenfeng Jiang China
Tian Tian China
Blair Brettmann United States
Xueying Huang China
Yibao Li China
You‐Liang Zhu China
Sergey V. Lyulin Russia
Yongwoo Shin United States
Manish M. Kulkarni India
Jing Song China
Sunghwan Choi relative to Wenfeng Jiang China Wenfeng Jiang's profile →
Citations per field
00.5×5.3×
Wenfeng Jiang · 1×
Citations per year

Countries citing papers authored by Sunghwan Choi

Since Specialization
Citations

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

Fields of papers citing papers by Sunghwan Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunghwan Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Sunghwan Choi. A scholar is included among the top collaborators of Sunghwan Choi 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 Sunghwan Choi. Sunghwan Choi 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 1
2 5
3 0
4 32
5 29
6 6
7 29
8 25
9 2
10 46
11 8
12 10
13 2
14 20
15 43
16 1
17 8
18 6
19 19
20 4

About Sunghwan Choi

Sunghwan Choi is a scholar working on Computational Theory and Mathematics, Catalysis and Spectroscopy, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (11 papers), Machine Learning in Materials Science (9 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Surfaces, Coatings and Films (568 citations), Biomaterials (289 citations) and Polymers and Plastics (240 citations). Sunghwan Choi has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Woo Youn Kim, In Taek Song, Seonki Hong, Haeshin Lee, Yun Suk Na, Yeonjoon Kim, Jaewook Kim, Hyungjun Kim, Ji Young Park and Kee‐Ahn Lee. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and Advanced Functional Materials.

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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