Sanghyeon Lee
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies 10
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials 12
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- Advanced Memory and Neural Computing 6
- Nanomaterials and Printing Technologies 5
- Advancements in Semiconductor Devices and Circuit Design 3
- Polymers and Plastics top 10%
- Conducting polymers and applications 4
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- Phase-change materials and chalcogenides 4
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- Neuroscience and Neural Engineering 3
- Co-authors
- Seung Kwon SeolWon Suk ChangJi Tae KimMuhammad WajahatJaeyeon PyoJung‐Hyun KimSung Ho ChoJung Hyun Kim
- Partner nations
- South KoreaHong KongUnited States
In The Last Decade
Sanghyeon Lee
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Automotive Engineering 273
- Biomedical Engineering 630
- Electrical and Electronic Engineering 606
- Polymers and Plastics 145
- Materials Chemistry 321
Countries citing papers authored by Sanghyeon Lee
This map shows the geographic impact of Sanghyeon Lee'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 Sanghyeon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanghyeon Lee more than expected).
Fields of papers citing papers by Sanghyeon Lee
This network shows the impact of papers produced by Sanghyeon Lee. 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 Sanghyeon Lee. The network helps show where Sanghyeon Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanghyeon Lee, 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 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 19 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 21 | |
| 10 | 2023 | 16 | |
| 11 | 2022 | 45 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 19 | |
| 14 | 2020 | 62 | |
| 15 | 2020 | 47 | |
| 16 | 2019 | 17 | |
| 17 | 2019 | 3 | |
| 18 | 2016 | 115 | |
| 19 | 2015 | 129 | |
| 20 | 2015 | 1 |
About Sanghyeon Lee
Sanghyeon Lee is a scholar working on Automotive Engineering, Polymers and Plastics and Electrical and Electronic Engineering, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (12 papers), Additive Manufacturing and 3D Printing Technologies (10 papers), Advanced Memory and Neural Computing (6 papers), Nanomaterials and Printing Technologies (5 papers), Phase-change materials and chalcogenides (4 papers), Conducting polymers and applications (4 papers), Neuroscience and Neural Engineering (3 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). The work is most often cited by research in Automotive Engineering (273 citations), Biomedical Engineering (630 citations) and Electrical and Electronic Engineering (606 citations). Sanghyeon Lee has collaborated with scholars based in South Korea, Hong Kong and United States. Frequent co-authors include Seung Kwon Seol, Won Suk Chang, Ji Tae Kim, Muhammad Wajahat, Jaeyeon Pyo, Jung‐Hyun Kim, Sung Ho Cho, Jung Hyun Kim, Daeho Kim and Hee Jin Jeong. Their work appears in journals such as Advanced Materials, Nano Letters and ACS Nano.
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.