Jongyoun Noh

11 total papers · 1.1k total citations
4 papers, 687 citations indexed

About

Jongyoun Noh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jongyoun Noh has authored 4 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Jongyoun Noh's work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Data-Driven Disease Surveillance (1 paper). Jongyoun Noh is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Data-Driven Disease Surveillance (1 paper). Jongyoun Noh collaborates with scholars based in South Korea. Jongyoun Noh's co-authors include Bumsub Ham, Hyunjong Park, Sanghoon Lee and Junghyup Lee and has published in prestigious journals such as .

In The Last Decade

Jongyoun Noh

4 papers receiving 677 citations

Hit Papers

Learning Memory-Guided No... 2020 2026 2022 2024 2020 100 200 300 400 500
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. Learning Memory-Guided Normality for Anomaly Detection
    2020 562 citations Hyunjong Park, Jongyoun Noh et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Jongyoun Noh 521 330 315 143 90 4 687
Ahmed Tashrif Kamal 346 0.7× 352 1.1× 185 0.6× 34 0.2× 38 0.4× 10 642
Yunqiang Chen 245 0.5× 74 0.2× 368 1.2× 36 0.3× 17 0.2× 8 708
Lukas Ruff 509 1.0× 190 0.6× 93 0.3× 32 0.2× 72 0.8× 10 631
Joaquin Zepeda 465 0.9× 130 0.4× 198 0.6× 25 0.2× 43 0.5× 9 648
Kebo Fu 226 0.4× 77 0.2× 143 0.5× 44 0.3× 9 0.1× 4 690
Mohsen Fayyaz 381 0.7× 135 0.4× 301 1.0× 102 0.7× 40 0.4× 10 623
Meina Qiao 234 0.4× 115 0.3× 315 1.0× 69 0.5× 14 0.2× 12 674
Simon Vandenhende 347 0.7× 31 0.1× 374 1.2× 47 0.3× 13 0.1× 7 743
M. Jamal Deen 203 0.4× 142 0.4× 150 0.5× 55 0.4× 14 0.2× 8 609
Wouter Van Gansbeke 322 0.6× 28 0.1× 358 1.1× 44 0.3× 12 0.1× 5 703

Countries citing papers authored by Jongyoun Noh

Since Specialization
Citations

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

Fields of papers citing papers by Jongyoun Noh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongyoun Noh

This figure shows the co-authorship network connecting the top 25 collaborators of Jongyoun Noh. A scholar is included among the top collaborators of Jongyoun Noh 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 Jongyoun Noh. Jongyoun Noh 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