Gowoon Cheon

1.9k citations
11 papers · 1.3k indexed · 1 hit paper · h-index 9

Impact in

    • Machine Learning in Materials Science
    • 2D Materials and Applications
    • X-ray Diffraction in Crystallography
    • MXene and MAX Phase Materials
    • Advanced Battery Technologies Research

Papers in

Gowoon Cheon

11 papers receiving 1.2k citations

Hit Papers

Scaling deep learning for materials discovery 2023 · 667 citations
6672023202620242025200400600

Peers

Gowoon Cheon
Comparison fields: 5 of 106
  • Materials Chemistry 921
  • Automotive Engineering 106
  • Electrical and Electronic Engineering 432
  • Catalysis 48
  • Computational Theory and Mathematics 104
Replace Nathan J. Szymanski with:
Nathan J. Szymanski United States
KyuJung Jun United States
Amil Merchant United States
Paul Raccuglia United States
Philip Adler United Kingdom
Zekun Ren Singapore
Kristofer G. Reyes United States
Haoyan Huo United States
Weike Ye United States
Arthur France‐Lanord United States
Gowoon Cheon relative to Nathan J. Szymanski United States Nathan J. Szymanski's profile →
Citations per field
00.5×11.5×
Nathan J. Szymanski · 1×
Citations per year

Countries citing papers authored by Gowoon Cheon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 23 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.

Border = papers with Gowoon Cheon Line = papers co-authored together Gowoon Cheon links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Scaling deep learning for materials discovery
Hit paper breakdown →
2023667
2 2018258
3 2017165
4 201883
5 202129
6 201825
7 202319
8 202219
9 202412
10 20183
11
Crystal Structure Search with Random Structure Relaxations Using Graph Networks
20201

About Gowoon Cheon

Gowoon Cheon is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Computational Theory and Mathematics, Electrical and Electronic Engineering and Infectious Diseases, having authored 11 papers that have together received 1.3k 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), Advanced Photocatalysis Techniques (2 papers), Fuel Cells and Related Materials (2 papers), X-ray Diffraction in Crystallography (2 papers), Boron and Carbon Nanomaterials Research (1 paper) and Electronic and Structural Properties of Oxides (1 paper). The work is most often cited by research in Materials Chemistry (921 citations), Automotive Engineering (106 citations), Electrical and Electronic Engineering (432 citations), Catalysis (48 citations) and Computational Theory and Mathematics (104 citations). Gowoon Cheon has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ekin D. Cubuk, Samuel S. Schoenholz, Muratahan Aykol, Simon Batzner, Evan J. Reed, Amil Merchant, Austin D. Sendek, Evan R. Antoniuk, Yi Cui and Yuan Chen. Their work appears in journals such as Nano Letters, npj Computational Materials, Chemistry of Materials, The Journal of Physical Chemistry Letters and Nature.

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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