Chang‐Hyun Kim
- Electrical and Electronic Engineering top 1%
- Polymers and Plastics top 1%
- Materials Chemistry top 5%
- Biomedical Engineering top 2%
- Electronic, Optical and Magnetic Materials top 10%
- Co-authors
- Yvan BonnassieuxGilles HorowitzC. Daniel FrisbieMyung‐Han YoonSungjun ParkWon‐June LeeIoannis KymissisSujin Sung
- Topics
- Organic Electronics and Photovoltaics (65 papers)Advanced Memory and Neural Computing (54 papers)Semiconductor materials and devices (37 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAdvanced Materials
- 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
- Electrical and Electronic Engineering 2.9k
- Polymers and Plastics 1.3k
- Materials Chemistry 1.2k
- Biomedical Engineering 1.1k
- Electronic, Optical and Magnetic Materials 379
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 of co-authors of Chang‐Hyun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Hyun Kim. A scholar is included among the top collaborators of Chang‐Hyun Kim 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 Chang‐Hyun Kim. Chang‐Hyun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 13 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 16 | |
| 19 | What is Needed the Most in MT-Supported Paper Writing | 1 |
| 20 | 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) and Semiconductor materials and devices (37 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.