Gowoon Cheon
Impact in
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- 2D Materials and Applications
- X-ray Diffraction in Crystallography
- MXene and MAX Phase Materials
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
Papers in
-
- Machine Learning in Materials Science 8
- 2D Materials and Applications 5
- MXene and MAX Phase Materials 4
- X-ray Diffraction in Crystallography 2
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- Advanced Photocatalysis Techniques 2
- Co-authors
- Ekin D. Cubuk (4 shared papers)Muratahan Aykol (1 shared paper)Amil Merchant (1 shared paper)Samuel S. Schoenholz (1 shared paper)Simon Batzner (1 shared paper)Evan J. Reed (10 shared papers)Austin D. Sendek (2 shared papers)Evan R. Antoniuk (6 shared papers)
- Journals
- Nano Letters (2 papers)Nature (1 paper)The Journal of Physical Chemistry Letters (1 paper)Chemistry of Materials (1 paper)ACS Nano (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Gowoon Cheon
11 papers receiving 1.5k citations
Gowoon Cheon's Hit Papers
Peers
Comparison fields: 5 of 104
- Materials Chemistry 1.1k
- Automotive Engineering 111
- Catalysis 57
- Electrical and Electronic Engineering 461
- Computational Theory and Mathematics 109
Countries citing papers authored by Gowoon Cheon
This map shows the geographic impact of Gowoon Cheon'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 Gowoon Cheon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gowoon Cheon more than expected).
Fields of papers citing papers by Gowoon Cheon
This network shows the impact of papers produced by Gowoon Cheon. 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 Gowoon Cheon. The network helps show where Gowoon Cheon may publish in the future.
Co-authors
The 24 scholars most cited alongside Gowoon Cheon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Scaling deep learning for materials discovery Hit paper breakdown → | 2023 | 894 |
| 2 | 2018 | 282 | |
| 3 | 2017 | 180 | |
| 4 | 2018 | 90 | |
| 5 | 2021 | 34 | |
| 6 | 2023 | 25 | |
| 7 | 2018 | 24 | |
| 8 | 2022 | 22 | |
| 9 | 2024 | 19 | |
| 10 | 2018 | 3 | |
| 11 | Crystal Structure Search with Random Structure Relaxations Using Graph Networks | 2020 | 1 |
About Gowoon Cheon
Gowoon Cheon is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Computational Theory and Mathematics and Insect Science, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), 2D Materials and Applications (5 papers), MXene and MAX Phase Materials (4 papers), Fuel Cells and Related Materials (2 papers), X-ray Diffraction in Crystallography (2 papers), Advanced Photocatalysis Techniques (2 papers), Computational Drug Discovery Methods (1 paper) and Perovskite Materials and Applications (1 paper). The work is most often cited by research in Materials Chemistry (1.1k citations), Automotive Engineering (111 citations), Catalysis (57 citations), Electrical and Electronic Engineering (461 citations) and Computational Theory and Mathematics (109 citations). Gowoon Cheon has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ekin D. Cubuk, Muratahan Aykol, Amil Merchant, Samuel S. Schoenholz, Simon Batzner, Evan J. Reed, Austin D. Sendek, Evan R. Antoniuk, Yi Ping Cui and Karel-Alexander N. Duerloo. Their work appears in journals such as Nano Letters, Nature, The Journal of Physical Chemistry Letters, Chemistry of Materials and ACS Nano.
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.