Hyuna Kwon

1.1k citations
20 papers · 682 · h-index 13

Impact in

Papers in

    • Machine Learning in Materials Science 3
    • Advancements in Solid Oxide Fuel Cells 2
    • X-ray Diffraction in Crystallography 2
    • Electronic and Structural Properties of Oxides 2
    • Ammonia Synthesis and Nitrogen Reduction 3

Hyuna Kwon

20 papers receiving 675 citations

Peers

Hyuna Kwon
Comparison fields: 5 of 105
  • Environmental Chemistry 204
  • Health, Toxicology and Mutagenesis 115
  • Atmospheric Science 107
  • Water Science and Technology 75
  • Materials Chemistry 214
Replace Nozomi Takeuchi with:
Nozomi Takeuchi Japan
Mohammad Reza Ghaani Ireland
J. Graham United States
Trevor C. Brown Australia
Pak K. Yuet Canada
Renming Pan China
Ziyuan Wang China
Seungyeol Lee United States
Jianmin Zhao China
Ursula E. A. Fittschen Germany
Hyuna Kwon relative to Nozomi Takeuchi Japan Nozomi Takeuchi's profile →
Citations per field
00.5×1.5×
Nozomi Takeuchi · 1×
Citations per year

Countries citing papers authored by Hyuna Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Hyuna Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hyuna Kwon, 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 Hyuna Kwon Line = papers co-authored together Hyuna Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020137
2 2019133
3 201869
4 202257
5 201946
6 202140
7 202132
8 202228
9 201825
10 201825
11 202021
12 202118
13 202312
14 202210
15 20248
16 20237
17 20246
18 20154
19 20252
20 20232

About Hyuna Kwon

Hyuna Kwon is a scholar working on Materials Chemistry, Catalysis, Electrical and Electronic Engineering, Biomedical Engineering and Environmental Chemistry, having authored 20 papers that have together received 682 indexed citations. Recurring topics across this work include Per- and polyfluoroalkyl substances research (3 papers), Ammonia Synthesis and Nitrogen Reduction (3 papers), Machine Learning in Materials Science (3 papers), Advancements in Solid Oxide Fuel Cells (2 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), Atmospheric chemistry and aerosols (2 papers), X-ray Diffraction in Crystallography (2 papers) and Electronic and Structural Properties of Oxides (2 papers). The work is most often cited by research in Environmental Chemistry (204 citations), Health, Toxicology and Mutagenesis (115 citations), Atmospheric Science (107 citations), Water Science and Technology (75 citations) and Materials Chemistry (214 citations). Hyuna Kwon has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Bryan M. Wong, Zulfikhar A. Ali, Lihua Xu, Chao Lian, Sharma S. R. K. C. Yamijala, Yujie Men, Li Zhong, Jinyong Liu, Michael J. Bentel and Yaochun Yu. Their work appears in journals such as The Journal of Physical Chemistry C, ACS Applied Materials & Interfaces, Environmental Science & Technology, Environmental Science & Technology Letters and The Journal of Physical Chemistry Letters.

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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