Jihun Yi

19 total papers · 1.1k total citations
4 papers, 317 citations indexed

About

Jihun Yi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jihun Yi has authored 4 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jihun Yi's work include Network Security and Intrusion Detection (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Time Series Analysis and Forecasting (1 paper). Jihun Yi is often cited by papers focused on Network Security and Intrusion Detection (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Time Series Analysis and Forecasting (1 paper). Jihun Yi collaborates with scholars based in South Korea and Nepal. Jihun Yi's co-authors include Sungroh Yoon, Siwon Kim, Eunji Kim and Junsung Park and has published in prestigious journals such as IEEE Access.

In The Last Decade

Jihun Yi

4 papers receiving 309 citations

Hit Papers

Deep Learning for Anomaly... 2021 2026 2022 2024 2021 50 100 150 200 250
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines
    2021 291 citations Jihun Yi, Sungroh Yoon et al. IEEE Access profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jihun Yi 231 103 99 65 25 4 317
Dingshuo Chen 271 1.2× 167 1.6× 170 1.7× 62 1.0× 27 1.1× 3 333
Zhaomin Chen 263 1.1× 73 0.7× 198 2.0× 59 0.9× 29 1.2× 11 365
Ismo Kärkkäinen 252 1.1× 87 0.8× 74 0.7× 33 0.5× 17 0.7× 8 320
Rémi Domingues 219 0.9× 48 0.5× 67 0.7× 41 0.6× 11 0.4× 3 321
Mohamed Jaward Bah 243 1.1× 50 0.5× 89 0.9× 46 0.7× 32 1.3× 14 356
François-Xavier Aubet 144 0.6× 124 1.2× 147 1.5× 35 0.5× 55 2.2× 5 302
Sebastian Schmidl 205 0.9× 148 1.4× 113 1.1× 40 0.6× 8 0.3× 6 249
Rudolf B. Blažek 146 0.6× 41 0.4× 130 1.3× 82 1.3× 22 0.9× 8 350
P. Roussel-Ragot 177 0.8× 53 0.5× 18 0.2× 112 1.7× 26 1.0× 8 280
S. T. 147 0.6× 23 0.2× 34 0.3× 156 2.4× 37 1.5× 2 320

Countries citing papers authored by Jihun Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jihun Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jihun Yi

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

All Works

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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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2026