Gowoon Cheon

1.9k total citations · 1 hit paper
11 papers, 1.3k citations indexed

About

Gowoon Cheon is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Gowoon Cheon has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 3 papers in Electrical and Electronic Engineering and 2 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Gowoon Cheon's work include Machine Learning in Materials Science (8 papers), 2D Materials and Applications (5 papers) and MXene and MAX Phase Materials (4 papers). Gowoon Cheon is often cited by papers focused on Machine Learning in Materials Science (8 papers), 2D Materials and Applications (5 papers) and MXene and MAX Phase Materials (4 papers). Gowoon Cheon collaborates with scholars based in United States and United Kingdom. Gowoon Cheon's co-authors include Ekin D. Cubuk, Samuel S. Schoenholz, Evan J. Reed, Muratahan Aykol, Simon Batzner, Amil Merchant, Austin D. Sendek, Evan R. Antoniuk, Yi Cui and Karel-Alexander N. Duerloo and has published in prestigious journals such as Nature, Nano Letters and ACS Nano.

In The Last Decade

Gowoon Cheon

11 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Scaling deep learning for materials discovery

2023 667 citations Amil Merchant, Simon Batzner et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gowoon Cheon United States	9	921	432	110	106	104	11	1.3k
Nathan J. Szymanski United States	18	807 0.9×	380 0.9×	140 1.3×	55 0.5×	68 0.7×	35	1.2k
Miriam Brafman United States	3	605 0.7×	322 0.7×	69 0.6×	81 0.8×	52 0.5×	3	910
Amil Merchant United States	4	740 0.8×	249 0.6×	149 1.4×	53 0.5×	120 1.2×	5	1.1k
Saurabh Bajaj United States	12	1.2k 1.3×	349 0.8×	88 0.8×	33 0.3×	131 1.3×	16	1.3k
Paul Raccuglia United States	2	872 0.9×	245 0.6×	183 1.7×	54 0.5×	198 1.9×	2	1.3k
KyuJung Jun United States	13	641 0.7×	508 1.2×	43 0.4×	128 1.2×	73 0.7×	24	967
Weike Ye United States	10	1.3k 1.4×	461 1.1×	148 1.3×	80 0.8×	349 3.4×	14	1.6k
Aria Mansouri Tehrani United States	14	1.1k 1.1×	359 0.8×	77 0.7×	29 0.3×	142 1.4×	27	1.2k
Arthur France‐Lanord United States	17	561 0.6×	659 1.5×	149 1.4×	123 1.2×	52 0.5×	33	1.1k
Philip Adler United Kingdom	5	888 1.0×	253 0.6×	185 1.7×	55 0.5×	200 1.9×	9	1.3k

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-authorship network of co-authors of Gowoon Cheon

This figure shows the co-authorship network connecting the top 25 collaborators of Gowoon Cheon. A scholar is included among the top collaborators of Gowoon Cheon 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 Gowoon Cheon. Gowoon Cheon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Schindler, Peter, et al.. (2024). Discovery of Stable Surfaces with Extreme Work Functions by High‐Throughput Density Functional Theory and Machine Learning. Advanced Functional Materials. 34(19). 12 indexed citations

2.

Antoniuk, Evan R., et al.. (2023). Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions. npj Computational Materials. 9(1). 19 indexed citations

3.

Merchant, Amil, Simon Batzner, Samuel S. Schoenholz, et al.. (2023). Scaling deep learning for materials discovery. Nature. 624(7990). 80–85. 667 indexed citations breakdown →

4.

Freitas, Rodrigo, et al.. (2022). Data-centric framework for crystal structure identification in atomistic simulations using machine learning. Physical Review Materials. 6(4). 19 indexed citations

5.

Rehn, Daniel A., Evan R. Antoniuk, Gowoon Cheon, et al.. (2021). Spectrum of Exfoliable 1D van der Waals Molecular Wires and Their Electronic Properties. ACS Nano. 15(6). 9851–9859. 29 indexed citations

6.

Cubuk, Ekin D., Evan J. Reed, Gowoon Cheon, et al.. (2020). Crystal Structure Search with Random Structure Relaxations Using Graph Networks. 1 indexed citations

7.

Cheon, Gowoon, et al.. (2018). Revealing the Spectrum of Unknown Layered Materials with Superhuman Predictive Abilities. The Journal of Physical Chemistry Letters. 9(24). 6967–6972. 25 indexed citations

8.

Choudhary, Kamal, Gowoon Cheon, Evan J. Reed, & Francesca Tavazza. (2018). Elastic properties of bulk and low-dimensional materials using van der Waals density functional. Physical review. B.. 98(1). 83 indexed citations

9.

Antoniuk, Evan R., Gowoon Cheon, Aditi S. Krishnapriyan, et al.. (2018). New Assembly-Free Bulk Layered Inorganic Vertical Heterostructures with Infrared and Optical Bandgaps. Nano Letters. 19(1). 142–149. 3 indexed citations

10.

Sendek, Austin D., Ekin D. Cubuk, Evan R. Antoniuk, et al.. (2018). Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials. Chemistry of Materials. 31(2). 342–352. 258 indexed citations

11.

Cheon, Gowoon, et al.. (2017). Data Mining for New Two- and One-Dimensional Weakly Bonded Solids and Lattice-Commensurate Heterostructures. Nano Letters. 17(3). 1915–1923. 165 indexed citations

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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