Jae W. Lee
- Computer Networks and Communications top 2%
- Hardware and Architecture top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Co-authors
- Krste AsanovićMan Cheuk NgTae Jun HamJung Ho AhnJinkyu JeongYuhwan RoYoung Hoon SonDavid I. August
- Topics
- Parallel Computing and Optimization Techniques (33 papers)Advanced Data Storage Technologies (28 papers)Advanced Memory and Neural Computing (10 papers)
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Jae W. Lee
48 papers receiving 918 citations
Peers
Comparison fields: 5 of 40
- Computer Networks and Communications 645
- Hardware and Architecture 639
- Electrical and Electronic Engineering 328
- Artificial Intelligence 180
- Information Systems 158
Countries citing papers authored by Jae W. Lee
This map shows the geographic impact of Jae W. 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 Jae W. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae W. Lee more than expected).
Fields of papers citing papers by Jae W. Lee
This network shows the impact of papers produced by Jae W. 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 Jae W. Lee. The network helps show where Jae W. Lee may publish in the future.
Co-authorship network of co-authors of Jae W. Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jae W. Lee. A scholar is included among the top collaborators of Jae W. 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 Jae W. Lee. Jae W. 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | ASAP: Fast Mobile Application Switch via Adaptive Prepaging. | 7 |
| 7 | FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks | 12 |
| 8 | 8 | |
| 9 | 22 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | Asynchronous I/O Stack: A Low-latency Kernel I/O Stack for Ultra-Low Latency SSDs. | 27 |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | An Analytical Model to Predict Performance Impact of DRAM Bank Partitioning | 2 |
| 17 | 10 | |
| 18 | 36 | |
| 19 | 5 | |
| 20 | 1 |
About Jae W. Lee
Jae W. Lee is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 54 papers that have together received 953 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (33 papers), Advanced Data Storage Technologies (28 papers) and Advanced Memory and Neural Computing (10 papers). The work is most often cited by research in Hardware and Architecture (639 citations), Computer Networks and Communications (645 citations) and Information Systems (158 citations). Jae W. Lee has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Krste Asanović, Man Cheuk Ng, Tae Jun Ham, Jung Ho Ahn, Jinkyu Jeong, Yuhwan Ro, Young Hoon Son, David I. August, O Seongil and Yejin Lee. Their work appears in journals such as IEEE Transactions on Computers, Proceedings of the VLDB Endowment and NPG Asia Materials.
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.