Su‐Ling Lee
Impact in
- Signal Processing top 2%
- Digital Filter Design and Implementation
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
Papers in
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- Digital Filter Design and Implementation 52
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- Advanced Graph Neural Networks 39
- Co-authors
- Chien‐Cheng Tseng (132 shared papers)Ross A. Clark (1 shared paper)Jessica Vitkovic (1 shared paper)Shyang Chang (1 shared paper)Shyi‐Chyi Cheng (1 shared paper)I‐Chang Jou (1 shared paper)
In The Last Decade
Su‐Ling Lee
126 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Signal Processing 371
- Modeling and Simulation 90
- Control and Systems Engineering 315
- Computer Vision and Pattern Recognition 219
- Computational Mechanics 201
Countries citing papers authored by Su‐Ling Lee
This map shows the geographic impact of Su‐Ling 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 Su‐Ling Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Ling Lee more than expected).
Fields of papers citing papers by Su‐Ling Lee
This network shows the impact of papers produced by Su‐Ling 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 Su‐Ling Lee. The network helps show where Su‐Ling Lee may publish in the future.
Co-authors
The 6 scholars most cited alongside Su‐Ling Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 96 | |
| 2 | 2010 | 56 | |
| 3 | 2002 | 56 | |
| 4 | 2011 | 49 | |
| 5 | 2021 | 40 | |
| 6 | 2012 | 31 | |
| 7 | 2008 | 30 | |
| 8 | 2014 | 28 | |
| 9 | 2019 | 25 | |
| 10 | 2009 | 24 | |
| 11 | 2013 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 1993 | 21 | |
| 14 | 2008 | 21 | |
| 15 | 2017 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2019 | 17 | |
| 18 | 2012 | 17 | |
| 19 | 2014 | 15 | |
| 20 | 2010 | 15 |
About Su‐Ling Lee
Su‐Ling Lee is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 139 papers that have together received 1.0k indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (52 papers), Advanced Graph Neural Networks (39 papers), Complex Network Analysis Techniques (28 papers), Advanced Control Systems Design (25 papers), Advanced Adaptive Filtering Techniques (20 papers), Image and Signal Denoising Methods (19 papers), Numerical Methods and Algorithms (18 papers) and Image Processing Techniques and Applications (13 papers). The work is most often cited by research in Signal Processing (371 citations), Modeling and Simulation (90 citations), Control and Systems Engineering (315 citations), Computer Vision and Pattern Recognition (219 citations) and Computational Mechanics (201 citations). Su‐Ling Lee has collaborated with scholars based in Taiwan, Yemen and Australia. Frequent co-authors include Chien‐Cheng Tseng, Ross A. Clark, Jessica Vitkovic, Shyang Chang, Shyi‐Chyi Cheng and I‐Chang Jou. Their work appears in journals such as Signal Processing, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Circuits & Systems II Express Briefs, Audiology and Neurotology and IET Signal Processing.
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.