Junwoong Yoon

1.1k total citations · 1 hit paper
7 papers, 694 citations indexed

About

Junwoong Yoon is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Organic Chemistry. According to data from OpenAlex, Junwoong Yoon has authored 7 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 2 papers in Renewable Energy, Sustainability and the Environment and 1 paper in Organic Chemistry. Recurrent topics in Junwoong Yoon's work include Machine Learning in Materials Science (5 papers), Electrocatalysts for Energy Conversion (2 papers) and Catalytic Processes in Materials Science (2 papers). Junwoong Yoon is often cited by papers focused on Machine Learning in Materials Science (5 papers), Electrocatalysts for Energy Conversion (2 papers) and Catalytic Processes in Materials Science (2 papers). Junwoong Yoon collaborates with scholars based in United States and South Korea. Junwoong Yoon's co-authors include Zachary W. Ulissi, Kevin Tran, Seoin Back, Wen Zhong, Javier Heras‐Domingo, Anuroop Sriram, Morgane Rivière, Aini Palizhati, C. Lawrence Zitnick and Weihua Hu and has published in prestigious journals such as Physical Review Letters, Langmuir and ACS Catalysis.

In The Last Decade

Junwoong Yoon

7 papers receiving 670 citations

Hit Papers

Open Catalyst 2020 (OC20) Dataset and Community Challenges 2021 2026 2022 2024 2021 100 200 300 400

Peers

Junwoong Yoon
Comparison fields: 5 of 58
  • Materials Chemistry 610
  • Renewable Energy, Sustainability and the Environment 240
  • Catalysis 142
  • Computational Theory and Mathematics 136
  • Electrical and Electronic Engineering 107
Aini Palizhati United States
Muhammed Shuaibi United States
Javier Heras‐Domingo Spain
Sida Huang China
Pei‐Lin Kang China
Jacob R. Boes United States
Lauren Takahashi Japan
Morgane Rivière United States
Sergio Pablo‐García Canada
Itsuki Miyazato Japan
Aini Palizhati United States View profile →
Citations per field, relative to Junwoong Yoon
Junwoong Yoon · 1×
Citations per year, relative to Junwoong Yoon
Junwoong Yoon · 1×

Countries citing papers authored by Junwoong Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Junwoong Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junwoong Yoon

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

All Works

7 of 7 papers shown
# Work Indexed citations
1
Open Catalyst 2020 (OC20) Dataset and Community Challenges breakdown →
440
2 12
3 23
4 11
5 4
6 197
7 7

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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