J.-H. Lin
Impact in
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- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
- Signal Processing top 5%
- Blind Source Separation Techniques
- Digital Filter Design and Implementation
Papers in
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- Image and Signal Denoising Methods 9
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- Advanced Adaptive Filtering Techniques 5
- Sparse and Compressive Sensing Techniques 2
- Co-authors
- Edward J. Coyle (7 shared papers)Moncef Gabbouj (2 shared papers)Thomas Sellke (1 shared paper)Chang Lu (1 shared paper)Yu‐Tzu Huang (1 shared paper)Nirwan Ansari (3 shared papers)
- Journals
- IEEE Transactions on Signal Processing (1 paper)International Conference on Acoustics, Speech, and Signal Processing (1 paper)IEEE Transactions on Acoustics Speech and Signal Processing (4 papers)
- Partner nations
- United StatesTaiwan
In The Last Decade
J.-H. Lin
7 papers receiving 467 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 365
- Signal Processing 148
- Media Technology 97
- Computational Mechanics 146
- Statistics and Probability 39
Countries citing papers authored by J.-H. Lin
This map shows the geographic impact of J.-H. Lin'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 J.-H. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.-H. Lin more than expected).
Fields of papers citing papers by J.-H. Lin
This network shows the impact of papers produced by J.-H. Lin. 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 J.-H. Lin. The network helps show where J.-H. Lin may publish in the future.
Co-authors
The 6 scholars most cited alongside J.-H. Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 174 | |
| 2 | 1989 | 148 | |
| 3 | 1990 | 97 | |
| 4 | 1990 | 59 | |
| 5 | 1992 | 24 | |
| 6 | 1991 | 5 | |
| 7 | 2002 | 1 | |
| 8 | 2003 | 1 | |
| 9 | 2002 | 1 | |
| 10 | 2003 | 0 | |
| 11 | 1992 | 0 | |
| 12 | 2003 | 0 |
About J.-H. Lin
J.-H. Lin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing, Artificial Intelligence and Civil and Structural Engineering, having authored 12 papers that have together received 510 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (9 papers), Advanced Adaptive Filtering Techniques (5 papers), Neural Networks and Applications (3 papers), Structural Health Monitoring Techniques (3 papers), Remote-Sensing Image Classification (2 papers), Digital Filter Design and Implementation (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Speech and Audio Processing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (365 citations), Signal Processing (148 citations), Media Technology (97 citations), Computational Mechanics (146 citations) and Statistics and Probability (39 citations). J.-H. Lin has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Edward J. Coyle, Moncef Gabbouj, Thomas Sellke, Chang Lu, Yu‐Tzu Huang and Nirwan Ansari. Their work appears in journals such as IEEE Transactions on Signal Processing, International Conference on Acoustics, Speech, and Signal Processing and IEEE Transactions on Acoustics Speech and 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.