Jong‐Seok Lee

10.8k citations
184 papers · 7.9k · 2 hit papers · h-index 32

Impact in

Papers in

Jong‐Seok Lee

176 papers receiving 7.7k citations

Jong‐Seok Lee's Hit Papers

A survey of uncertainty in deep neural networks 2023 · 773 citations
7730+5+10Years since publication1k2k3k

Peers

Jong‐Seok Lee
Comparison fields: 5 of 153
  • Experimental and Cognitive Psychology 3.5k
  • Computer Vision and Pattern Recognition 1.7k
  • Signal Processing 521
  • Cognitive Neuroscience 728
  • Human-Computer Interaction 178
Replace Tadas Baltrušaitis with:
Tadas Baltrušaitis United States
Stefan Wermter Germany
Aleix M. Martı́nez United States
Stefanos Kollias Greece
Robert A. Jacobs United States
Weihong Deng China
Hui Ling Yu China
Tom Gedeon Australia
Yingli Tian United States
Aurobinda Routray India
Jong‐Seok Lee relative to Tadas Baltrušaitis United States Tadas Baltrušaitis's profile →
Citations per field
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Tadas Baltrušaitis · 1×
Citations per year

Countries citing papers authored by Jong‐Seok Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Seok Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Seok Lee. 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 Jong‐Seok Lee. The network helps show where Jong‐Seok Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Jong‐Seok Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jong‐Seok Lee Line = papers co-authored together Jong‐Seok Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DEAP: A Database for Emotion Analysis ;Using Physiological Signals
Hit paper breakdown →
20113867
2
A survey of uncertainty in deep neural networks
Hit paper breakdown →
2023773
3 2018265
4 2002234
5 2010156
6 2003125
7 2012105
8 2018103
9 201493
10 201786
11 202285
12 201184
13 202076
14 201271
15 200158
16 202058
17 200951
18 202349
19 201947
20 201246

About Jong‐Seok Lee

Jong‐Seok Lee is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Human-Computer Interaction and Cognitive Neuroscience, having authored 184 papers that have together received 7.9k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (42 papers), Video Coding and Compression Technologies (19 papers), Advanced Image Processing Techniques (18 papers), EEG and Brain-Computer Interfaces (14 papers), Emotion and Mood Recognition (12 papers), Adversarial Robustness in Machine Learning (11 papers), Speech and Audio Processing (9 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Experimental and Cognitive Psychology (3.5k citations), Computer Vision and Pattern Recognition (1.7k citations), Signal Processing (521 citations), Cognitive Neuroscience (728 citations) and Human-Computer Interaction (178 citations). Jong‐Seok Lee has collaborated with scholars based in South Korea, Switzerland and United States. Frequent co-authors include Touradj Ebrahimi, Anton Nijholt, Sander Koelstra, Christian Mühl, Thierry Pun, Mohammad Soleymani, Ioannis Patras, Seong-Eun Moon, Manri Cheon and Junho H. Choi. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, IEEE Transactions on Affective Computing, IEEE Transactions on Multimedia and Neurocomputing.

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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