Hyun-A Park
- Artificial Intelligence
- Information Systems
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Signal Processing
- Topics
- Cryptography and Data Security (6 papers)Privacy-Preserving Technologies in Data (6 papers)Cloud Data Security Solutions (3 papers)
- Journals
- Journal of the Association for Information SystemsApplied SciencesIEEE Transactions on Mobile Computing
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Hyun-A Park
12 papers receiving 90 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 46
- Information Systems 38
- Computer Networks and Communications 30
- Computer Vision and Pattern Recognition 30
- Signal Processing 14
Countries citing papers authored by Hyun-A Park
This map shows the geographic impact of Hyun-A Park'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 Hyun-A Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun-A Park more than expected).
Fields of papers citing papers by Hyun-A Park
This network shows the impact of papers produced by Hyun-A Park. 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 Hyun-A Park. The network helps show where Hyun-A Park may publish in the future.
Co-authorship network of co-authors of Hyun-A Park
This figure shows the co-authorship network connecting the top 25 collaborators of Hyun-A Park. A scholar is included among the top collaborators of Hyun-A Park 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 Hyun-A Park. Hyun-A Park 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | On - line MMORPG Users’ Understanding about the Agreements of Cash Transaction Prohibition | 1 |
| 7 | 3 | |
| 8 | PATTERNS OF DESIGNER-USER INTERACTIONS IN THE DESIGN REFINEMENT PROCESS | 1 |
| 9 | The protocol for Secure Cloud-Service System | 0 |
| 10 | Comprehensive Study on Security and Privacy Requirements for Retrieval System over Encrypted Database | 3 |
| 11 | 2 | |
| 12 | 32 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 30 |
About Hyun-A Park
Hyun-A Park is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 17 papers that have together received 96 indexed citations. Recurring topics across this work include Cryptography and Data Security (6 papers), Privacy-Preserving Technologies in Data (6 papers) and Cloud Data Security Solutions (3 papers). The work is most often cited by research in Information Systems (38 citations), Computer Vision and Pattern Recognition (30 citations) and Artificial Intelligence (46 citations). Hyun-A Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dong Hoon Lee, Yon Dohn Chung, Justin Zhan, Justin Zhan, Justin Zhan, Jaehyun Park, Jaejin Lee, Jaehyun Park and Jae‐Hyun Park. Their work appears in journals such as Journal of the Association for Information Systems, Applied Sciences 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.