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.
DEAP: A Database for Emotion Analysis ;Using Physiological Signals
20113.2k citationsSander Koelstra, Christian Mühl et al.IEEE Transactions on Affective Computingprofile →
A survey of uncertainty in deep neural networks
2023509 citationsJakob Gawlikowski, Mohsin Ali et al.Artificial Intelligence Reviewprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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-authorship network of co-authors of Jong‐Seok Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jong‐Seok Lee.
A scholar is included among the top collaborators of Jong‐Seok Lee 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 Jong‐Seok Lee. Jong‐Seok Lee is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cho, Jung Min, et al.. (2021). A Study on the Accuracy Evaluation of UAV Photogrammetry using Oblique and Vertical Images. Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography. 39(1). 41–46.2 indexed citations
9.
Lee, Jong‐Seok, Matthias Humt, Jianxiang Feng, & Rudolph Triebel. (2020). Estimating Model Uncertainty of Neural Network in Sparse Information Form. International Conference on Machine Learning. 2020. 5702–5713.3 indexed citations
Cho, Heeryon, Jong‐Seok Lee, & Songkuk Kim. (2013). Enhancing Lexicon-Based Review Classification by Merging and Revising Sentiment Dictionaries. International Joint Conference on Natural Language Processing. 463–470.5 indexed citations
15.
Lee, Jong‐Seok, et al.. (2012). A Study on the Meaning and interpretation of Urban Landscape in Architecture of Robert Venturi and Aldo Rossi. Korean Institute of Interior Design Journal. 21(2). 23–34.1 indexed citations
16.
Koelstra, Sander, Christian Mühl, Mohammad Soleymani, et al.. (2011). DEAP: A Database for Emotion Analysis ;Using Physiological Signals. IEEE Transactions on Affective Computing. 3(1). 18–31.3233 indexed citations breakdown →
17.
Vajda, Péter, Ivan Ivanov, Lutz Goldmann, Jong‐Seok Lee, & Touradj Ebrahimi. (2010). 3D object duplicate detection for video retrieval. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–4.1 indexed citations
18.
Lee, Jong‐Seok, et al.. (2009). A Performance Improvement Method using Variable Break in Corpus Based Japanese Text-to-Speech System. The Journal of the Acoustical Society of Korea. 28(2). 155–163.1 indexed citations
19.
Lee, Jong‐Seok, et al.. (2008). Preventing ELF(Executable and Linking Format)-File-Infecting Malware using Signature Verification for Embedded Linux. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 14(6). 589–593.1 indexed citations
20.
Lee, Jong‐Seok, et al.. (2007). A Pre-Selection of Candidate Units Using Accentual Characteristic In a Unit Selection Based Japanese TTS System. The Journal of the Acoustical Society of Korea. 26(4). 159–165.1 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.