Changwan Hong
- Hardware and Architecture top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- P. SadayappanAravind Sukumaran-RajamIsrat NisaGagan AgrawalJinsung KimLouis-Noël PouchetSaman AmarasingheShoaib Kamil
- Topics
- Parallel Computing and Optimization Techniques (13 papers)Advanced Data Storage Technologies (9 papers)Graph Theory and Algorithms (4 papers)
- Journals
- Proceedings of the VLDB EndowmentACM SIGPLAN NoticesIEEE Transactions on Consumer Electronics
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Changwan Hong
24 papers receiving 420 citations
Peers
Comparison fields: 5 of 51
- Hardware and Architecture 245
- Computer Vision and Pattern Recognition 163
- Computer Networks and Communications 160
- Artificial Intelligence 148
- Electrical and Electronic Engineering 58
Countries citing papers authored by Changwan Hong
This map shows the geographic impact of Changwan Hong'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 Changwan Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changwan Hong more than expected).
Fields of papers citing papers by Changwan Hong
This network shows the impact of papers produced by Changwan Hong. 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 Changwan Hong. The network helps show where Changwan Hong may publish in the future.
Co-authorship network of co-authors of Changwan Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Changwan Hong. A scholar is included among the top collaborators of Changwan Hong 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 Changwan Hong. Changwan Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 8 | |
| 5 | 15 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 23 | |
| 15 | 26 | |
| 16 | 17 | |
| 17 | 9 | |
| 18 | 0 | |
| 19 | 13 | |
| 20 | 3 |
About Changwan Hong
Changwan Hong is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 26 papers that have together received 431 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (9 papers) and Graph Theory and Algorithms (4 papers). The work is most often cited by research in Computational Mathematics (53 citations), Hardware and Architecture (245 citations) and Computer Vision and Pattern Recognition (163 citations). Changwan Hong has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include P. Sadayappan, Aravind Sukumaran-Rajam, Israt Nisa, Gagan Agrawal, Jinsung Kim, Louis-Noël Pouchet, Saman Amarasinghe, Shoaib Kamil, Julian Shun and Sriram Krishnamoorthy. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices and IEEE Transactions on Consumer Electronics.
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.