Hwanju Kim
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Joonwon LeeJinkyu JeongHeeseung JoHyeontaek LimSang-Wook KimSeungryoul MaengEuiseong SeoDaehoon Kim
- Topics
- Cloud Computing and Resource Management (19 papers)Parallel Computing and Optimization Techniques (16 papers)Advanced Data Storage Technologies (15 papers)
- Journals
- IEEE Transactions on ComputersIEEE Transactions on Parallel and Distributed SystemsIEEE Transactions on Mobile Computing
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Hwanju Kim
29 papers receiving 459 citations
Peers
Comparison fields: 5 of 18
- Computer Networks and Communications 423
- Information Systems 338
- Hardware and Architecture 281
- Electrical and Electronic Engineering 64
- Artificial Intelligence 36
Countries citing papers authored by Hwanju Kim
This map shows the geographic impact of Hwanju Kim'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 Hwanju Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hwanju Kim more than expected).
Fields of papers citing papers by Hwanju Kim
This network shows the impact of papers produced by Hwanju Kim. 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 Hwanju Kim. The network helps show where Hwanju Kim may publish in the future.
Co-authorship network of co-authors of Hwanju Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hwanju Kim. A scholar is included among the top collaborators of Hwanju Kim 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 Hwanju Kim. Hwanju Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Enlightening the I/O path: a holistic approach for application performance | 19 |
| 2 | Request-oriented durable write caching for application performance | 13 |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 49 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | Explicit non-reusable page cache management to minimize last level cache pollution | 1 |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 14 | |
| 18 | 152 | |
| 19 | 10 | |
| 20 | 13 |
About Hwanju Kim
Hwanju Kim is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 29 papers that have together received 481 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (19 papers), Parallel Computing and Optimization Techniques (16 papers) and Advanced Data Storage Technologies (15 papers). The work is most often cited by research in Hardware and Architecture (281 citations), Computer Networks and Communications (423 citations) and Information Systems (338 citations). Hwanju Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Joonwon Lee, Jinkyu Jeong, Heeseung Jo, Hyeontaek Lim, Sang-Wook Kim, Seungryoul Maeng, Euiseong Seo, Daehoon Kim, Jaehyuk Huh and Sunghun Kim. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Mobile Computing.
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.