Sungjun Kim
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering 144
- Photoreceptor and optogenetics research 37
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- Advanced Memory and Neural Computing 327
- Ferroelectric and Negative Capacitance Devices 210
- Semiconductor materials and devices 54
- Polymers and Plastics top 1%
- Transition Metal Oxide Nanomaterials 52
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 47
- Artificial Intelligence top 2%
- Neural Networks and Reservoir Computing 53
Sungjun Kim
371 papers receiving 7.0k citations
Peers
Comparison fields: 5 of 138
- Cellular and Molecular Neuroscience 2.8k
- Electrical and Electronic Engineering 6.2k
- Polymers and Plastics 1.1k
- Cognitive Neuroscience 772
- Artificial Intelligence 802
Countries citing papers authored by Sungjun Kim
This map shows the geographic impact of Sungjun 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 Sungjun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungjun Kim more than expected).
Fields of papers citing papers by Sungjun Kim
This network shows the impact of papers produced by Sungjun 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 Sungjun Kim. The network helps show where Sungjun Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sungjun 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 | 4 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 36 | |
| 19 | 2022 | 24 | |
| 20 | 2019 | 9 |
About Sungjun Kim
Sungjun Kim is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Polymers and Plastics, Cognitive Neuroscience and Artificial Intelligence, having authored 391 papers that have together received 7.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (327 papers), Ferroelectric and Negative Capacitance Devices (210 papers), Neuroscience and Neural Engineering (144 papers), Semiconductor materials and devices (54 papers), Neural Networks and Reservoir Computing (53 papers), Transition Metal Oxide Nanomaterials (52 papers), Neural dynamics and brain function (47 papers) and Photoreceptor and optogenetics research (37 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Electrical and Electronic Engineering (6.2k citations), Polymers and Plastics (1.1k citations), Cognitive Neuroscience (772 citations) and Artificial Intelligence (802 citations). Sungjun Kim has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Chandreswar Mahata, Muhammad Ismail, Byung‐Gook Park, Hojeong Ryu, Min‐Hwi Kim, Seongjae Cho, Myounggon Kang, Yao‐Feng Chang, Jiho Ryu and Dongyeol Ju. Their work appears in journals such as Journal of Alloys and Compounds, Nanomaterials, Materials, Applied Surface Science and Metals.
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.