Changsoon Choi
- Biomedical Engineering top 0.5%
- Electrical and Electronic Engineering top 2%
- Polymers and Plastics top 1%
- Materials Chemistry top 5%
- Cognitive Neuroscience top 2%
- Co-authors
- Dae‐Hyeong KimTaeghwan HyeonMoon Kee ChoiJi Hoon KimGil Ju LeeYoung Min SongJaemin KimDonghee Son
- Topics
- Advanced Memory and Neural Computing (16 papers)Advanced Sensor and Energy Harvesting Materials (14 papers)Neuroscience and Neural Engineering (12 papers)
- Partner nations
- South KoreaUnited StatesSudan
In The Last Decade
Changsoon Choi
44 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Biomedical Engineering 2.7k
- Electrical and Electronic Engineering 2.4k
- Polymers and Plastics 1.2k
- Materials Chemistry 1.2k
- Cognitive Neuroscience 802
Countries citing papers authored by Changsoon Choi
This map shows the geographic impact of Changsoon Choi'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 Changsoon Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changsoon Choi more than expected).
Fields of papers citing papers by Changsoon Choi
This network shows the impact of papers produced by Changsoon Choi. 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 Changsoon Choi. The network helps show where Changsoon Choi may publish in the future.
Co-authorship network of co-authors of Changsoon Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Changsoon Choi. A scholar is included among the top collaborators of Changsoon Choi 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 Changsoon Choi. Changsoon Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 56 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 13 | |
| 9 | 14 | |
| 10 | 20 | |
| 11 | 10 | |
| 12 | 30 | |
| 13 | 45 | |
| 14 | 23 | |
| 15 | 36 | |
| 16 | Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition systembreakdown → | 266 |
| 17 | Human eye-inspired soft optoelectronic device using high-density MoS2-graphene curved image sensor arraybreakdown → | 451 |
| 18 | 159 | |
| 19 | 2 | |
| 20 | Stretchable silicon nanoribbon electronics for skin prosthesisbreakdown → | 1222 |
About Changsoon Choi
Changsoon Choi is a scholar working on Polymers and Plastics, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 46 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Advanced Sensor and Energy Harvesting Materials (14 papers) and Neuroscience and Neural Engineering (12 papers). The work is most often cited by research in Polymers and Plastics (1.2k citations), Biomedical Engineering (2.7k citations) and Electrical and Electronic Engineering (2.4k citations). Changsoon Choi has collaborated with scholars based in South Korea, United States and Sudan. Frequent co-authors include Dae‐Hyeong Kim, Taeghwan Hyeon, Moon Kee Choi, Ji Hoon Kim, Gil Ju Lee, Young Min Song, Jaemin Kim, Donghee Son, Kyoung Won Cho and Min‐Cheol Lee. Their work appears in journals such as Advanced Materials, Nature Communications and Nano 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.