Seok-Pil Lee

718 total citations
57 papers, 492 citations indexed

About

Seok-Pil Lee is a scholar working on Signal Processing, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Seok-Pil Lee has authored 57 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Signal Processing, 15 papers in Cognitive Neuroscience and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Seok-Pil Lee's work include Speech and Audio Processing (27 papers), Music and Audio Processing (16 papers) and Emotion and Mood Recognition (11 papers). Seok-Pil Lee is often cited by papers focused on Speech and Audio Processing (27 papers), Music and Audio Processing (16 papers) and Emotion and Mood Recognition (11 papers). Seok-Pil Lee collaborates with scholars based in South Korea and United States. Seok-Pil Lee's co-authors include Sang‐Hui Park, Young-Cheol Park, Ki-Seung Lee, Hana Choi, Sera Kim, Hyuk‐Soo Han, Kyoungro Yoon, Sera Kim, Seung Hyun Choi and Dae Hee Youn and has published in prestigious journals such as IEEE Access, Applied Sciences and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Seok-Pil Lee

45 papers receiving 456 citations

Peers

Seok-Pil Lee
Comparison fields: 5 of 76
  • Biomedical Engineering 175
  • Cognitive Neuroscience 174
  • Signal Processing 165
  • Computer Vision and Pattern Recognition 103
  • Cellular and Molecular Neuroscience 78
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Citations per field, relative to Seok-Pil Lee
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Citations per year, relative to Seok-Pil Lee
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Countries citing papers authored by Seok-Pil Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seok-Pil Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seok-Pil Lee

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 12
2 13
3 14
4 25
5 4
6 35
7 5
8 2
9 1
10 14
11
Implementation of i-Real Sound play module in Smart mobile Devices
0
12 1
13
Implementation of a personalized second TV platform
0
14
Extracting Predominant Melody from Polyphonic Music using Harmonic Structure
1
15
Robust Representation of Spatial Sound in Stereo-to-Multichannel Upmix
12
16
An Study on Query by Humming System
1
17
A Study on the Implementation of the System of Content-based Retrieval of Music Data
1
18
Correlation Between the Headphone's Acoustical Characteristics and Subjective Preferences
1
19
Efficient Individualization of HRTF Using Critical-Band Based Spectral Cues Control
3
20 153

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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