Se June Hong
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- D. C. BossenDon CoppersmithJ. R. M. HoskingChidanand AptéA. M. PatelIgor KononenkoSholom M. WeissR. Nair
- Topics
- VLSI and FPGA Design Techniques (5 papers)Data Mining Algorithms and Applications (5 papers)VLSI and Analog Circuit Testing (4 papers)
- Partner nations
- United StatesSlovenia
In The Last Decade
Se June Hong
32 papers receiving 691 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 272
- Electrical and Electronic Engineering 256
- Hardware and Architecture 210
- Computer Networks and Communications 142
- Computational Theory and Mathematics 139
Countries citing papers authored by Se June Hong
This map shows the geographic impact of Se June 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 Se June Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Se June Hong more than expected).
Fields of papers citing papers by Se June Hong
This network shows the impact of papers produced by Se June 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 Se June Hong. The network helps show where Se June Hong may publish in the future.
Co-authorship network of co-authors of Se June Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Se June Hong. A scholar is included among the top collaborators of Se June 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 Se June Hong. Se June 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 | 38 | |
| 2 | 2 | |
| 3 | 107 | |
| 4 | 76 | |
| 5 | Predicting equity returns from securities data | 22 |
| 6 | Predicting equity returns from securities data with minimal rule generation | 13 |
| 7 | Experiences with object centered modeling of financial marketing | 0 |
| 8 | How to achieve FAME | 1 |
| 9 | Guest Editors' Introduction Enabling Technology for Knowledge-Based Systems Development. | 2 |
| 10 | Using qualitative reasoning to understand financial arithmetic | 17 |
| 11 | 24 | |
| 12 | 4 | |
| 13 | Automation of MVS Operations, an Expert Systems Approach. | 2 |
| 14 | 19 | |
| 15 | 8 | |
| 16 | 7 | |
| 17 | 13 | |
| 18 | 58 | |
| 19 | 72 | |
| 20 | ON A ROOT-DISTANCE RELATION FOR ARITHMETIC CODES, | 3 |
About Se June Hong
Se June Hong is a scholar working on Hardware and Architecture, Software and Computational Theory and Mathematics, having authored 33 papers that have together received 748 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (5 papers), Data Mining Algorithms and Applications (5 papers) and VLSI and Analog Circuit Testing (4 papers). The work is most often cited by research in Hardware and Architecture (210 citations), Computational Theory and Mathematics (139 citations) and Artificial Intelligence (272 citations). Se June Hong has collaborated with scholars based in United States and Slovenia. Frequent co-authors include D. C. Bossen, Don Coppersmith, J. R. M. Hosking, Chidanand Apté, A. M. Patel, Igor Kononenko, Sholom M. Weiss, R. Nair, Ravi Nair and Richard D. Lawrence. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and Computer.
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.