Jangsaeng Kim
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- Advanced Memory and Neural Computing 35
- Ferroelectric and Negative Capacitance Devices 28
- Semiconductor materials and devices 16
- CCD and CMOS Imaging Sensors 4
- Thin-Film Transistor Technologies 3
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- Neuroscience and Neural Engineering 7
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- Neural dynamics and brain function 7
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- Neural Networks and Reservoir Computing 5
- Co-authors
- Jong‐Ho LeeDongseok KwonSoochang LeeJong‐Ho BaeChul-Heung KimSung‐Tae LeeWon-Mook KangByung‐Gook Park
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeuroscienceCognitive Neuroscience
- Journals
- Nature Communications (2 papers)SHILAP Revista de lepidopterología (4 papers)Small (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Jangsaeng Kim
41 papers receiving 323 citations
Peers
Comparison fields: 5 of 30
- Electrical and Electronic Engineering 304
- Cellular and Molecular Neuroscience 76
- Cognitive Neuroscience 50
- Artificial Intelligence 82
- Polymers and Plastics 20
Countries citing papers authored by Jangsaeng Kim
This map shows the geographic impact of Jangsaeng 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 Jangsaeng Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jangsaeng Kim more than expected).
Fields of papers citing papers by Jangsaeng Kim
This network shows the impact of papers produced by Jangsaeng 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 Jangsaeng Kim. The network helps show where Jangsaeng Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jangsaeng 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 15 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 23 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 14 | |
| 15 | 2022 | 2 | |
| 16 | 2021 | 5 | |
| 17 | 2021 | 11 | |
| 18 | 2021 | 1 | |
| 19 | 2019 | 10 | |
| 20 | 2018 | 70 |
About Jangsaeng Kim
Jangsaeng Kim is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 44 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (35 papers), Ferroelectric and Negative Capacitance Devices (28 papers), Semiconductor materials and devices (16 papers), Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (7 papers), Neural Networks and Reservoir Computing (5 papers), CCD and CMOS Imaging Sensors (4 papers) and Thin-Film Transistor Technologies (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (304 citations), Cellular and Molecular Neuroscience (76 citations) and Cognitive Neuroscience (50 citations). Jangsaeng Kim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Jong‐Ho Lee, Dongseok Kwon, Soochang Lee, Jong‐Ho Bae, Chul-Heung Kim, Sung‐Tae Lee, Won-Mook Kang, Byung‐Gook Park, Wonjun Shin and Sung Yun Woo. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Small.
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.