Jongpil Lee

1.1k citations
37 papers · 477 · h-index 12

Impact in

    • Music and Audio Processing
    • Speech and Audio Processing
  • Music top 5%
    • Diverse Musicological Studies

Papers in

Jongpil Lee

29 papers receiving 448 citations

Peers

Jongpil Lee
Comparison fields: 5 of 87
  • Signal Processing 271
  • Music 42
  • Computer Vision and Pattern Recognition 148
  • Developmental Biology 11
  • Artificial Intelligence 120
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Citations per field
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Citations per year

Countries citing papers authored by Jongpil Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jongpil Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jongpil 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 Jongpil Lee Line = papers co-authored together Jongpil Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201884
2 201866
3 201957
4 201849
5 200729
6 201524
7 202120
8 202019
9 201715
10 202114
11 202212
12
Combining Multi-Scale Features Using Sample-level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection
201711
13
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures
201710
14 20209
15 20079
16 20207
17 20117
18 20197
19 20197
20 20125

About Jongpil Lee

Jongpil Lee is a scholar working on Signal Processing, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering and Music, having authored 37 papers that have together received 477 indexed citations. Recurring topics across this work include Music and Audio Processing (15 papers), Speech and Audio Processing (10 papers), Music Technology and Sound Studies (8 papers), Microgrid Control and Optimization (5 papers), Speech Recognition and Synthesis (5 papers), Diverse Musicological Studies (5 papers), Photovoltaic System Optimization Techniques (4 papers) and Radio Frequency Integrated Circuit Design (3 papers). The work is most often cited by research in Signal Processing (271 citations), Music (42 citations), Computer Vision and Pattern Recognition (148 citations), Developmental Biology (11 citations) and Artificial Intelligence (120 citations). Jongpil Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Juhan Nam, Jiyoung Park, Yi‐Hsuan Yang, Keunwoo Choi, Szu-Yu Chou, Ji Young Park, Dong-Wook Yoo, Jong-Hyun Kim, Siddhartha Nath and Andrew B. Kahng. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE Wireless Communications, IEEE Signal Processing Magazine, Annals of Surgical Oncology and Applied Sciences.

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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