Sangmin Lee
- Biomedical Engineering top 5%
- Molecular Biology
- Electrical and Electronic Engineering top 10%
- Biomaterials top 5%
- Materials Chemistry
- Co-authors
- Ick Chan KwonKwangmeyung KimSeo Young JeongJin Hee NaHeebeom KooKug‐Seung LeeJaehyeong BaeSeunghwa Ryu
- Topics
- Neuroscience and Neural Engineering (21 papers)Advanced Memory and Neural Computing (18 papers)Analog and Mixed-Signal Circuit Design (12 papers)
- Partner nations
- South KoreaUnited StatesSaudi Arabia
In The Last Decade
Sangmin Lee
108 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 161
- Biomedical Engineering 891
- Molecular Biology 566
- Electrical and Electronic Engineering 433
- Biomaterials 383
- Materials Chemistry 347
Countries citing papers authored by Sangmin Lee
This map shows the geographic impact of Sangmin 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 Sangmin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangmin Lee more than expected).
Fields of papers citing papers by Sangmin Lee
This network shows the impact of papers produced by Sangmin 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 Sangmin Lee. The network helps show where Sangmin Lee may publish in the future.
Co-authorship network of co-authors of Sangmin Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sangmin Lee. A scholar is included among the top collaborators of Sangmin Lee 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 Sangmin Lee. Sangmin Lee 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 | 4 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 30 | |
| 7 | 21 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 60 | |
| 11 | Mantis: automatic performance prediction for smartphone applications | 38 |
| 12 | 13 | |
| 13 | Design of Index Schema based on Bit-Streams for XML Documents | 3 |
| 14 | 7 | |
| 15 | 243 | |
| 16 | 47 | |
| 17 | 43 | |
| 18 | 4 | |
| 19 | Intelligent Digital 3-Axis IMU for Automotive and Robotic Applications | 1 |
| 20 | Performance Evaluation of a MAC protocol for Wireless ATM | 0 |
About Sangmin Lee
Sangmin Lee is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Computer Networks and Communications, having authored 116 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (21 papers), Advanced Memory and Neural Computing (18 papers) and Analog and Mixed-Signal Circuit Design (12 papers). The work is most often cited by research in Biomaterials (383 citations), Polymers and Plastics (288 citations) and Biomedical Engineering (891 citations). Sangmin Lee has collaborated with scholars based in South Korea, United States and Saudi Arabia. Frequent co-authors include Ick Chan Kwon, Kwangmeyung Kim, Seo Young Jeong, Jin Hee Na, Heebeom Koo, Kug‐Seung Lee, Jaehyeong Bae, Seunghwa Ryu, Sun Hwa Kim and Allen Clement. Their work appears in journals such as Angewandte Chemie International Edition, ACS Nano and Biomaterials.
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.