Chang‐Hyun Kim
- Polymers and Plastics top 1%
- Conducting polymers and applications 32
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- Organic Electronics and Photovoltaics 65
- Advanced Memory and Neural Computing 54
- Semiconductor materials and devices 37
- Thin-Film Transistor Technologies 26
- Advancements in Semiconductor Devices and Circuit Design 19
- Molecular Junctions and Nanostructures 18
- Pharmaceutical Science top 1%
- Drug Solubulity and Delivery Systems 15
- Bioengineering top 2%
- Materials Chemistry top 5%
- Co-authors
- Yvan BonnassieuxGilles HorowitzC. Daniel FrisbieMyung‐Han YoonSungjun ParkWon‐June LeeIoannis KymissisSujin Sung
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Advanced Materials (2 papers)
- Partner nations
- South KoreaFranceUnited States
In The Last Decade
Chang‐Hyun Kim
215 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Polymers and Plastics 1.3k
- Electrical and Electronic Engineering 2.9k
- Pharmaceutical Science 242
- Bioengineering 192
- Materials Chemistry 1.2k
Countries citing papers authored by Chang‐Hyun Kim
This map shows the geographic impact of Chang‐Hyun Kim'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 Chang‐Hyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Hyun Kim more than expected).
Fields of papers citing papers by Chang‐Hyun Kim
This network shows the impact of papers produced by Chang‐Hyun Kim. 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 Chang‐Hyun Kim. The network helps show where Chang‐Hyun Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chang‐Hyun Kim, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 11 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 12 | |
| 15 | 2021 | 13 | |
| 16 | 2018 | 1 | |
| 17 | 2017 | 8 | |
| 18 | 2015 | 16 | |
| 19 | What is Needed the Most in MT-Supported Paper Writing | 2008 | 1 |
| 20 | 2004 | 1 |
About Chang‐Hyun Kim
Chang‐Hyun Kim is a scholar working on Pharmaceutical Science, Electrical and Electronic Engineering and Polymers and Plastics, having authored 230 papers that have together received 4.6k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (65 papers), Advanced Memory and Neural Computing (54 papers), Semiconductor materials and devices (37 papers), Conducting polymers and applications (32 papers), Thin-Film Transistor Technologies (26 papers), Advancements in Semiconductor Devices and Circuit Design (19 papers), Molecular Junctions and Nanostructures (18 papers) and Drug Solubulity and Delivery Systems (15 papers). The work is most often cited by research in Polymers and Plastics (1.3k citations), Electrical and Electronic Engineering (2.9k citations) and Pharmaceutical Science (242 citations). Chang‐Hyun Kim has collaborated with scholars based in South Korea, France and United States. Frequent co-authors include Yvan Bonnassieux, Gilles Horowitz, C. Daniel Frisbie, Myung‐Han Yoon, Sungjun Park, Won‐June Lee, Ioannis Kymissis, Sujin Sung, Hocheon Yoo and Hong Chul Moon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.
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.