Kisung Lee
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Sociology and Political Science top 10%
- Co-authors
- Ling LiuYoujip WonSeung‐Jong ParkShayan ShamsSeongjin LeeSeungwon YangRaghu GantiMudhakar Srivatsa
- Topics
- Caching and Content Delivery (12 papers)Graph Theory and Algorithms (11 papers)Data Management and Algorithms (10 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Kisung Lee
63 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Computer Networks and Communications 447
- Artificial Intelligence 428
- Information Systems 236
- Computer Vision and Pattern Recognition 236
- Sociology and Political Science 122
Countries citing papers authored by Kisung Lee
This map shows the geographic impact of Kisung 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 Kisung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kisung Lee more than expected).
Fields of papers citing papers by Kisung Lee
This network shows the impact of papers produced by Kisung 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 Kisung Lee. The network helps show where Kisung Lee may publish in the future.
Co-authorship network of co-authors of Kisung Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Kisung Lee. A scholar is included among the top collaborators of Kisung 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 Kisung Lee. Kisung 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 | 2 | |
| 3 | 21 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 55 | |
| 12 | 23 | |
| 13 | 5 | |
| 14 | 25 | |
| 15 | 39 | |
| 16 | I/O stack optimization for smartphones | 116 |
| 17 | 16 | |
| 18 | AndroStep: Android storage performance analysis tool | 24 |
| 19 | 34 | |
| 20 | Effective Measures for School-To-Work Transition in the Vocational Education System: Lessons from Australia and Korea. | 9 |
About Kisung Lee
Kisung Lee is a scholar working on Signal Processing, Computer Networks and Communications and Transportation, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Caching and Content Delivery (12 papers), Graph Theory and Algorithms (11 papers) and Data Management and Algorithms (10 papers). The work is most often cited by research in Computer Networks and Communications (447 citations), Hardware and Architecture (101 citations) and Artificial Intelligence (428 citations). Kisung Lee has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Ling Liu, Youjip Won, Seung‐Jong Park, Shayan Shams, Seongjin Lee, Seungwon Yang, Raghu Ganti, Mudhakar Srivatsa, Yang Zhou and Yuzhe Tang. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Knowledge and Data Engineering.
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.