Sung‐Young Lee
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Molecular Biology
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Topics
- Semiconductor materials and devices (12 papers)Advancements in Semiconductor Devices and Circuit Design (11 papers)Energy Efficient Wireless Sensor Networks (9 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Sung‐Young Lee
61 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Electrical and Electronic Engineering 647
- Computer Networks and Communications 486
- Molecular Biology 352
- Artificial Intelligence 338
- Biomedical Engineering 290
Countries citing papers authored by Sung‐Young Lee
This map shows the geographic impact of Sung‐Young 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 Sung‐Young Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Young Lee more than expected).
Fields of papers citing papers by Sung‐Young Lee
This network shows the impact of papers produced by Sung‐Young 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 Sung‐Young Lee. The network helps show where Sung‐Young Lee may publish in the future.
Co-authorship network of co-authors of Sung‐Young Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Young Lee. A scholar is included among the top collaborators of Sung‐Young 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 Sung‐Young Lee. Sung‐Young 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 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 22 | |
| 5 | 23 | |
| 6 | 87 | |
| 7 | 18 | |
| 8 | 34 | |
| 9 | Mutual Verifiable Provable Data Auditing in Public Cloud Storagebreakdown → | 286 |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 51 | |
| 13 | 9 | |
| 14 | 11 | |
| 15 | A Research Framework Model to Guide Both Broad and Focused Research into Ubiquitous Sensor Networks. | 0 |
| 16 | 190 | |
| 17 | An Adaptive Network Double Buffer Model for Efficient Memory Resource Usage | 0 |
| 18 | 1 | |
| 19 | GFRs Measured by Gates' Method According to 5 Background Sites: Comparison with GFR Measured by I-125-Iothalamate Method | 0 |
| 20 | Optimistic Concurrency Control for Secure Real-Time Database Systems | 1 |
About Sung‐Young Lee
Sung‐Young Lee is a scholar working on Computer Networks and Communications, Biochemistry and Applied Microbiology and Biotechnology, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Semiconductor materials and devices (12 papers), Advancements in Semiconductor Devices and Circuit Design (11 papers) and Energy Efficient Wireless Sensor Networks (9 papers). The work is most often cited by research in Computer Networks and Communications (486 citations), Biochemistry (91 citations) and Information Systems (254 citations). Sung‐Young Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jin Wang, Jian Shen, Jinwei Wang, Haowen Tan, Yongjun Ren, Zigang Dong, Young-Koo Lee, Ann M. Bode, Donggun Park and Eun-Jung Yoon. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Scientific Reports.
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.