Jinhyun So

1.3k total citations · 1 hit paper
8 papers, 422 citations indexed

About

Jinhyun So is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Jinhyun So has authored 8 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in Jinhyun So's work include Privacy-Preserving Technologies in Data (5 papers), Cryptography and Data Security (3 papers) and Stochastic Gradient Optimization Techniques (2 papers). Jinhyun So is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Cryptography and Data Security (3 papers) and Stochastic Gradient Optimization Techniques (2 papers). Jinhyun So collaborates with scholars based in United States and South Korea. Jinhyun So's co-authors include Başak Güler, A. Salman Avestimehr, Jiantao Jiao, Salman Avestimehr, Hessam Mahdavifar, Hyukjoon Kwon, Mi Lu, Eui–Rim Jeong, Sungho Choi and Yong H. Lee and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Neural Information Processing Systems and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Jinhyun So

6 papers receiving 417 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning

2021 184 citations Jinhyun So, Başak Güler et al. IEEE Journal on Selected Areas in Information Theory profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinhyun So United States	4	405	58	37	35	32	8	422
Si‐Ahmed Naas Finland	5	219 0.5×	33 0.6×	16 0.4×	29 0.8×	26 0.8×	9	244
Jiale Guo China	7	170 0.4×	43 0.7×	45 1.2×	19 0.5×	50 1.6×	17	241
Virat Shejwalkar United States	6	458 1.1×	24 0.4×	53 1.4×	27 0.8×	40 1.3×	11	502
Yuanqin He China	6	218 0.5×	21 0.4×	38 1.0×	21 0.6×	29 0.9×	7	258
Aditya Pribadi Kalapaaking Australia	8	189 0.5×	26 0.4×	59 1.6×	30 0.9×	128 4.0×	8	251
Yunming Liao China	10	224 0.6×	29 0.5×	64 1.7×	9 0.3×	38 1.2×	21	258
Chengfang Fang Singapore	8	163 0.4×	17 0.3×	44 1.2×	21 0.6×	22 0.7×	17	210
Xuegang Huang Denmark	5	238 0.6×	80 1.4×	28 0.8×	78 2.2×	15 0.5×	6	274
Jiazhu Dai China	7	267 0.7×	16 0.3×	75 2.0×	22 0.6×	62 1.9×	17	304

Countries citing papers authored by Jinhyun So

Since Specialization

Citations

This map shows the geographic impact of Jinhyun So'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 Jinhyun So with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinhyun So more than expected).

Fields of papers citing papers by Jinhyun So

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinhyun So. 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 Jinhyun So. The network helps show where Jinhyun So may publish in the future.

Co-authorship network of co-authors of Jinhyun So

This figure shows the co-authorship network connecting the top 25 collaborators of Jinhyun So. A scholar is included among the top collaborators of Jinhyun So 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 Jinhyun So. Jinhyun So 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:

8 of 8 papers shown

1.

So, Jinhyun, et al.. (2024). LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning. IEEE Journal on Selected Areas in Information Theory. 5. 285–301. 9 indexed citations

2.

So, Jinhyun, et al.. (2023). Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9864–9873. 39 indexed citations

3.

So, Jinhyun & Hyukjoon Kwon. (2023). Universal Auto-Encoder Framework for MIMO CSI Feedback. 1–7. 1 indexed citations

4.

So, Jinhyun & Mi Lu. (2021). Buffer-referred Data Prefetching: An Effective Approach to Coverage-Driven Prefetching. 1–6.

5.

So, Jinhyun, Başak Güler, & A. Salman Avestimehr. (2021). Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. IEEE Journal on Selected Areas in Information Theory. 2(1). 479–489. 184 indexed citations breakdown →

6.

So, Jinhyun, Başak Güler, & Salman Avestimehr. (2020). A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. Neural Information Processing Systems. 33. 8054–8066. 2 indexed citations

7.

So, Jinhyun, Başak Güler, & A. Salman Avestimehr. (2020). Byzantine-Resilient Secure Federated Learning. IEEE Journal on Selected Areas in Communications. 39(7). 2168–2181. 187 indexed citations

8.

So, Jinhyun, et al.. (2012). Digital predistortion based on envelope feedback. 3169–3172.

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.

Explore authors with similar magnitude of impact