Li-Lun Wang
Impact in
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- Handwritten Text Recognition Techniques
- Face and Expression Recognition
- Image Processing and 3D Reconstruction
- Media Technology top 10%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 4
- Face and Expression Recognition 2
- Image Retrieval and Classification Techniques 1
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- Natural Language Processing Techniques 2
- Machine Learning and Data Classification 2
- Imbalanced Data Classification Techniques 1
- Co-authors
- Chih‐Jen Lin (2 shared papers)Chia‐Liang Sun (1 shared paper)Kai-Min Chung (2 shared papers)Wei‐Chun Kao (2 shared papers)Thomas Deselaers (1 shared paper)Henry A. Rowley (1 shared paper)Daniel Keysers (1 shared paper)Gerald DeJong (3 shared papers)
- Journals
- Pattern Recognition (1 paper)Neural Computation (1 paper)International Journal on Document Analysis and Recognition (IJDAR) (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Smart Science (1 paper)
- Partner nations
- United StatesTaiwanSwitzerland
In The Last Decade
Li-Lun Wang
7 papers receiving 268 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 153
- Media Technology 46
- Human-Computer Interaction 28
- Artificial Intelligence 141
- Signal Processing 17
Countries citing papers authored by Li-Lun Wang
This map shows the geographic impact of Li-Lun Wang'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 Li-Lun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Lun Wang more than expected).
Fields of papers citing papers by Li-Lun Wang
This network shows the impact of papers produced by Li-Lun Wang. 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 Li-Lun Wang. The network helps show where Li-Lun Wang may publish in the future.
Co-authors
The 10 scholars most cited alongside Li-Lun Wang, 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 | 2003 | 155 | |
| 2 | 2016 | 109 | |
| 3 | Explanation-based feature construction | 2007 | 8 |
| 4 | 2007 | 6 | |
| 5 | 2015 | 5 | |
| 6 | 2004 | 2 | |
| 7 | 2009 | 1 |
About Li-Lun Wang
Li-Lun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Mechanical Engineering and Human-Computer Interaction, having authored 7 papers that have together received 286 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (4 papers), Natural Language Processing Techniques (2 papers), Machine Learning and Data Classification (2 papers), Face and Expression Recognition (2 papers), Hand Gesture Recognition Systems (1 paper), Imbalanced Data Classification Techniques (1 paper), Sparse and Compressive Sensing Techniques (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (153 citations), Media Technology (46 citations), Human-Computer Interaction (28 citations), Artificial Intelligence (141 citations) and Signal Processing (17 citations). Li-Lun Wang has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Chih‐Jen Lin, Chia‐Liang Sun, Kai-Min Chung, Wei‐Chun Kao, Thomas Deselaers, Henry A. Rowley, Daniel Keysers, Gerald DeJong, Hsin Her Yu and Wing‐Ming Chou. Their work appears in journals such as Pattern Recognition, Neural Computation, International Journal on Document Analysis and Recognition (IJDAR), IEEE Transactions on Pattern Analysis and Machine Intelligence and Smart Science.
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.