Hyunjun Ji
Impact in
- Materials Chemistry top 10%
- MXene and MAX Phase Materials
- 2D Materials and Applications
- Graphene research and applications
-
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced battery technologies research
Papers in
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- Machine Learning in Materials Science 5
- Graphene research and applications 2
-
- Advanced Chemical Physics Studies 3
- Co-authors
- Yousung Jung (9 shared papers)Eunjeong Yang (3 shared papers)Jaehoon Kim (2 shared papers)Heejin Kim (2 shared papers)Yihan Shao (2 shared papers)Jeong Min Lee (1 shared paper)Jang Wook Choi (1 shared paper)Simon Bauer (1 shared paper)
- Journals
- The Journal of Chemical Physics (4 papers)Scientific Reports (1 paper)Chemical Science (1 paper)ChemPhysChem (1 paper)The Journal of Physical Chemistry C (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Hyunjun Ji
12 papers receiving 622 citations
Peers
Comparison fields: 5 of 53
- Materials Chemistry 450
- Electrical and Electronic Engineering 434
- Electronic, Optical and Magnetic Materials 87
- Renewable Energy, Sustainability and the Environment 49
- Inorganic Chemistry 35
Countries citing papers authored by Hyunjun Ji
This map shows the geographic impact of Hyunjun Ji'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 Hyunjun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyunjun Ji more than expected).
Fields of papers citing papers by Hyunjun Ji
This network shows the impact of papers produced by Hyunjun Ji. 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 Hyunjun Ji. The network helps show where Hyunjun Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Hyunjun Ji, 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 | 2015 | 310 | |
| 2 | 2015 | 174 | |
| 3 | 2012 | 48 | |
| 4 | 2017 | 34 | |
| 5 | 2013 | 16 | |
| 6 | 2014 | 11 | |
| 7 | 2018 | 11 | |
| 8 | 2017 | 10 | |
| 9 | 2013 | 8 | |
| 10 | 2024 | 6 | |
| 11 | 2016 | 4 | |
| 12 | 2019 | 1 | |
| 13 | 2025 | 0 |
About Hyunjun Ji
Hyunjun Ji is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Inorganic Chemistry, having authored 13 papers that have together received 633 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Computational Drug Discovery Methods (3 papers), Advanced Chemical Physics Studies (3 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), Graphene research and applications (2 papers), Advancements in Battery Materials (2 papers), Metallurgical Processes and Thermodynamics (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Materials Chemistry (450 citations), Electrical and Electronic Engineering (434 citations), Electronic, Optical and Magnetic Materials (87 citations), Renewable Energy, Sustainability and the Environment (49 citations) and Inorganic Chemistry (35 citations). Hyunjun Ji has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Yousung Jung, Eunjeong Yang, Jaehoon Kim, Heejin Kim, Yihan Shao, Jeong Min Lee, Jang Wook Choi, Simon Bauer, Chin Kim and Byung Ihn Choi. Their work appears in journals such as The Journal of Chemical Physics, Scientific Reports, Chemical Science, ChemPhysChem and The Journal of Physical Chemistry C.
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.