Junbum Shin

896 total citations
12 papers, 400 citations indexed

About

Junbum Shin is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Junbum Shin has authored 12 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Sociology and Political Science. Recurrent topics in Junbum Shin's work include Privacy-Preserving Technologies in Data (6 papers), Cryptography and Data Security (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). Junbum Shin is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Cryptography and Data Security (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). Junbum Shin collaborates with scholars based in South Korea, United States and Singapore. Junbum Shin's co-authors include Sungwook Kim, Hyejin Shin, Xiaokui Xiao, Dongyoung Koo, Jinsu Kim, Kang G. Shin, Ning Wang, Ge Yu, Hyunsoo Yoon and Yin Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Knowledge and Data Engineering and Electronics Letters.

In The Last Decade

Junbum Shin

11 papers receiving 387 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Junbum Shin South Korea	8	336	206	112	52	44	12	400
Ricardo Mendes Portugal	8	238 0.7×	95 0.5×	101 0.9×	38 0.7×	29 0.7×	19	323
Michaela Götz United States	7	283 0.8×	67 0.3×	95 0.8×	55 1.1×	67 1.5×	8	333
Entong Shen United States	6	295 0.9×	43 0.2×	82 0.7×	91 1.8×	97 2.2×	8	376
Vincent Toubiana France	6	114 0.3×	82 0.4×	98 0.9×	115 2.2×	19 0.4×	17	262
Justin Brickell United States	5	286 0.9×	47 0.2×	106 0.9×	26 0.5×	42 1.0×	5	326
Alban Galland France	5	148 0.4×	103 0.5×	33 0.3×	62 1.2×	116 2.6×	8	260
Honglu Jiang China	7	161 0.5×	54 0.3×	79 0.7×	57 1.1×	22 0.5×	24	237
Seyed Mohssen Ghafari Australia	9	98 0.3×	170 0.8×	42 0.4×	98 1.9×	11 0.3×	12	269
Ryan Skraba United Kingdom	3	206 0.6×	146 0.7×	51 0.5×	50 1.0×	8 0.2×	3	333

Countries citing papers authored by Junbum Shin

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Junbum Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Junbum Shin. A scholar is included among the top collaborators of Junbum Shin 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 Junbum Shin. Junbum Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Suh, Jungyo, et al.. (2024). Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study. JMIR Medical Informatics. 12. e56893–e56893. 1 indexed citations

Shin, Junbum, et al.. (2023). HEaaN.MLIR: An Optimizing Compiler for Fast Ring-Based Homomorphic Encryption. Proceedings of the ACM on Programming Languages. 7(PLDI). 196–220. 3 indexed citations

Yao, Yuan, et al.. (2021). Consistency Analysis of Data-Usage Purposes in Mobile Apps. 2824–2843. 24 indexed citations

Shin, Kang G., et al.. (2021). Automated Extraction and Presentation of Data Practices in Privacy Policies. SHILAP Revista de lepidopterología. 2021(2). 88–110. 31 indexed citations

Yeom, Yongjin, et al.. (2020). Cryptanalysis of the obfuscated round boundary technique for whitebox cryptography. Science China Information Sciences. 63(3).

Wang, Ning, Xiaokui Xiao, Yin Yang, et al.. (2018). PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy. 821–832. 56 indexed citations

Kim, Jinsu, et al.. (2018). Efficient Privacy-Preserving Matrix Factorization for Recommendation via Fully Homomorphic Encryption. ACM Transactions on Privacy and Security. 21(4). 1–30. 50 indexed citations

Shin, Hyejin, Sungwook Kim, Junbum Shin, & Xiaokui Xiao. (2018). Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy. IEEE Transactions on Knowledge and Data Engineering. 30(9). 1770–1782. 150 indexed citations

Kim, Sungwook, et al.. (2018). Learning New Words from Keystroke Data with Local Differential Privacy. IEEE Transactions on Knowledge and Data Engineering. 32(3). 479–491. 13 indexed citations

10.

Shin, Junbum, et al.. (2016). Hardware-assisted on-demand hypervisor activation for efficient security critical code execution on mobile devices. USENIX Annual Technical Conference. 565–578. 29 indexed citations

11.

Kim, Sungwook, et al.. (2016). Efficient Privacy-Preserving Matrix Factorization via Fully Homomorphic Encryption. 617–628. 37 indexed citations

12.

Shin, Junbum, et al.. (1998). Optimisation of Montgomery modular multiplicationalgorithm for systolic arrays. Electronics Letters. 34(19). 1830–1831. 6 indexed citations

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.

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