Junghsi Lee

688 citations
25 papers · 551 · h-index 10

Impact in

Papers in

Junghsi Lee

22 papers receiving 521 citations

Peers

Junghsi Lee
Comparison fields: 5 of 60
  • Signal Processing 243
  • Computational Mechanics 246
  • Human-Computer Interaction 52
  • Computer Vision and Pattern Recognition 139
  • Control and Systems Engineering 109
Replace Shing‐Tai Pan with:
Shing‐Tai Pan Taiwan
Andrei Zanfir United States
Hendrik Seidel Germany
Enzo Mumolo Italy
Tzu-Chen Liang Taiwan
Zachi Karni Israel
Steven M. Rubin United States
Zhiguo Li China
Yoji Iiguni Japan
Jingjing Fu China
Junghsi Lee relative to Shing‐Tai Pan Taiwan Shing‐Tai Pan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Junghsi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Junghsi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Junghsi 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 Junghsi Lee Line = papers co-authored together Junghsi Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011190
2 201886
3 201561
4 201550
5 199438
6 201220
7 199420
8 201819
9
Performance Comparison of Variable Step-Size NLMS Algorithms
200913
10
Adaptive polynomial filtering algorithms
199210
11 20029
12
The Generalized Square-Error-Regularized LMS Algorithm
20088
13
A Square-Error-Based Regularization for Normalized LMS Algorithms
20086
14 20024
15 20133
16 20123
17
A Robust Double-Talk Detector for Acoustic Echo Cancellation
20103
18 19992
19 20081
20 20131

About Junghsi Lee

Junghsi Lee is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Numerical Analysis, having authored 25 papers that have together received 551 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (16 papers), Blind Source Separation Techniques (10 papers), Speech and Audio Processing (10 papers), Chaos-based Image/Signal Encryption (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Neural Networks and Applications (3 papers), Chaos control and synchronization (3 papers) and Stability and Control of Uncertain Systems (2 papers). The work is most often cited by research in Signal Processing (243 citations), Computational Mechanics (246 citations), Human-Computer Interaction (52 citations), Computer Vision and Pattern Recognition (139 citations) and Control and Systems Engineering (109 citations). Junghsi Lee has collaborated with scholars based in Taiwan and United States. Frequent co-authors include V.J. Mathews, I‐Jung Lee, Bor-Shing Lin, Shuyu Yang, Jean‐Lon Chen, Shih‐Hau Fang, Chih‐Min Lin, Jiawei Chen, Gin-Kou Ma and Yang. Their work appears in journals such as Signal Processing, IEEE Transactions on Signal Processing, IEEE Access, IEEE Signal Processing Letters and Sensors.

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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