Junbum Shin
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
-
- Cryptography and Data Security 5
- Privacy-Preserving Technologies in Data 5
- Cryptographic Implementations and Security 3
- Stochastic Gradient Optimization Techniques 3
- Coding theory and cryptography 2
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- Cryptography and Residue Arithmetic 3
- Co-authors
- Sungwook Kim (4 shared papers)Hyejin Shin (3 shared papers)Xiaokui Xiao (2 shared papers)Dongyoung Koo (2 shared papers)Jinsu Kim (2 shared papers)Kang G. Shin (2 shared papers)Kwangsu Lee (1 shared paper)Kyung‐Ah Shim (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)Electronics Letters (1 paper)Science China Information Sciences (1 paper)Proceedings of the ACM on Programming Languages (1 paper)ACM Transactions on Privacy and Security (1 paper)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Junbum Shin
13 papers receiving 484 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 426
- Information Systems 246
- Computer Science Applications 51
- Transportation 37
- Signal Processing 43
Countries citing papers authored by Junbum Shin
This map shows the geographic impact of Junbum Shin'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 Junbum Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junbum Shin more than expected).
Fields of papers citing papers by Junbum Shin
This network shows the impact of papers produced by Junbum Shin. 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 Junbum Shin. The network helps show where Junbum Shin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junbum Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 163 | |
| 2 | 2018 | 63 | |
| 3 | 2018 | 56 | |
| 4 | 2016 | 47 | |
| 5 | 2003 | 43 | |
| 6 | 2021 | 36 | |
| 7 | Hardware-assisted on-demand hypervisor activation for efficient security critical code execution on mobile devices | 2016 | 30 |
| 8 | 2021 | 28 | |
| 9 | 2018 | 15 | |
| 10 | 1998 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 1 | |
| 14 | 2020 | 0 |
About Junbum Shin
Junbum Shin is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Signal Processing and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 499 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (5 papers), Cryptography and Residue Arithmetic (3 papers), Privacy, Security, and Data Protection (3 papers), Cryptographic Implementations and Security (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Data Quality and Management (2 papers) and Coding theory and cryptography (2 papers). The work is most often cited by research in Artificial Intelligence (426 citations), Information Systems (246 citations), Computer Science Applications (51 citations), Transportation (37 citations) and Signal Processing (43 citations). Junbum Shin has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Sungwook Kim, Hyejin Shin, Xiaokui Xiao, Dongyoung Koo, Jinsu Kim, Kang G. Shin, Kwangsu Lee, Kyung‐Ah Shim, Yin Yang and Hyunsoo Yoon. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Electronics Letters, Science China Information Sciences, Proceedings of the ACM on Programming Languages and ACM Transactions on Privacy and Security.
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.