Jae-Hyun Jun

542 total citations
15 papers, 254 citations indexed

About

Jae-Hyun Jun is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Jae-Hyun Jun has authored 15 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Jae-Hyun Jun's work include Network Security and Intrusion Detection (3 papers), Video Coding and Compression Technologies (2 papers) and Image and Video Quality Assessment (2 papers). Jae-Hyun Jun is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Video Coding and Compression Technologies (2 papers) and Image and Video Quality Assessment (2 papers). Jae-Hyun Jun collaborates with scholars based in South Korea. Jae-Hyun Jun's co-authors include Byoung‐Tak Zhang, Sang-Woo Lee, Jin-Hwa Kim, Jung-Woo Ha, Yeong Shik Kim, Bon‐Kwon Koo, Hak Seung Lee, Hyun-Ju Oh, Sung‐Ho Kim and Min-Jun Kim and has published in prestigious journals such as Molecules, Journal of Information Processing Systems and arXiv (Cornell University).

In The Last Decade

Jae-Hyun Jun

12 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae-Hyun Jun South Korea 5 134 79 42 33 26 15 254
Changlin Li China 9 127 0.9× 154 1.9× 11 0.3× 3 0.1× 53 2.0× 28 358
Peyman Bayat Iran 10 74 0.6× 86 1.1× 41 1.0× 6 0.2× 18 0.7× 28 303
Abid Sarwar India 11 184 1.4× 67 0.8× 28 0.7× 2 0.1× 17 0.7× 26 331
Alexandra Moraru Slovenia 10 51 0.4× 18 0.2× 37 0.9× 2 0.1× 83 3.2× 25 362
Jitesh Pradhan India 10 48 0.4× 167 2.1× 18 0.4× 8 0.2× 18 0.7× 31 270
Amal Tmiri Morocco 7 143 1.1× 34 0.4× 16 0.4× 9 0.3× 28 1.1× 22 256
H. S. Sheshadri India 9 145 1.1× 92 1.2× 16 0.4× 6 0.2× 21 0.8× 30 261
Lale Özyılmaz Türkiye 8 125 0.9× 57 0.7× 7 0.2× 3 0.1× 51 2.0× 19 318
T. T. Trang Vietnam 10 110 0.8× 42 0.5× 5 0.1× 3 0.1× 146 5.6× 27 426

Countries citing papers authored by Jae-Hyun Jun

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Hyun Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Hyun Jun. 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 Jae-Hyun Jun. The network helps show where Jae-Hyun Jun may publish in the future.

Co-authorship network of co-authors of Jae-Hyun Jun

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

All Works

15 of 15 papers shown
1.
Jun, Jae-Hyun, et al.. (2020). Real-tile Forensic Marking Method based on Heterogeneous System using Multi-core. Journal of the Institute of Electronics and Information Engineers. 57(10). 34–41. 1 indexed citations
2.
Lee, Sang-Woo, et al.. (2017). Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks.. International Joint Conference on Artificial Intelligence. 28–33. 1 indexed citations
3.
Lee, Sang-Woo, Jin-Hwa Kim, Jae-Hyun Jun, Jung-Woo Ha, & Byoung‐Tak Zhang. (2017). Overcoming Catastrophic Forgetting by Incremental Moment Matching. arXiv (Cornell University). 30. 4652–4662. 120 indexed citations
4.
Jun, Jae-Hyun, et al.. (2017). Fire Detection Using Multi-Channel Information and Gray Level Co-occurrence Matrix Image Features. Journal of Information Processing Systems. 4 indexed citations
5.
Jun, Jae-Hyun, et al.. (2015). Harmful Image Detection Method Using Skin and Non-Skin Features. The Journal of The Institute of Internet Broadcasting and Communication. 15(4). 55–61.
6.
Jun, Jae-Hyun, et al.. (2015). Video Compression Method Using SURF Feature and Block Shaping. The Journal of The Institute of Internet Broadcasting and Communication. 15(4). 161–167.
7.
Jun, Jae-Hyun, et al.. (2014). DDoS attack detection by using packet sampling and flow features. 711–712. 23 indexed citations
9.
Jun, Jae-Hyun, et al.. (2014). Detection Method of Distributed Denial-of-Service Flooding Attacks Using Analysis of Flow Information. 14(1). 203–209. 2 indexed citations
10.
Jun, Jae-Hyun, et al.. (2014). A Feature Point Tracking Method By Using Template Matching and Buffer. The Journal of The Institute of Internet Broadcasting and Communication. 14(4). 173–179. 1 indexed citations
11.
Kim, Min-Jun, et al.. (2012). Enhanced Mode Estimation Method for Intra/Inter Prediction in H.264/AVC. Journal of the Korea Academia-Industrial cooperation Society. 13(4). 1830–1838.
12.
Kim, Min-Jun, et al.. (2011). Enhanced H.264 Coding Method Applied to Adaptive Block Search Algorithm. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 38(12). 663–670. 1 indexed citations
13.
Jun, Jae-Hyun, et al.. (2011). DDoS flooding attack detection through a step-by-step investigation. 15. 1–5. 13 indexed citations
14.
Jun, Jae-Hyun, et al.. (2010). Bandwidth Reservation Method to Consider Reservation Failure in VLAN. 3. 175–180. 2 indexed citations
15.
Jun, Jae-Hyun, et al.. (2010). Inter-ONU Scheduling Scheme for QoS Guarantee in 10G EPON. 24. 137–141. 2 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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