Jui-Hsin Lai
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in
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- Advanced Image and Video Retrieval Techniques 3
- Video Surveillance and Tracking Methods 1
- Visual Attention and Saliency Detection 1
- Graph Theory and Algorithms 1
- Video Analysis and Summarization 1
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- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Ching‐Yung Lin (4 shared papers)Ruichi Yu (2 shared papers)Mingfei Gao (1 shared paper)Larry S. Davis (1 shared paper)Ang Li (1 shared paper)Vlad I. Morariu (1 shared paper)Xintong Han (1 shared paper)Chun-Fu Chen (1 shared paper)
- Journals
- RePEc: Research Papers in Economics (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Jui-Hsin Lai
5 papers receiving 470 citations
Jui-Hsin Lai's Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 417
- Computational Mathematics 7
- Artificial Intelligence 317
- Signal Processing 29
- Neurology 11
Countries citing papers authored by Jui-Hsin Lai
This map shows the geographic impact of Jui-Hsin Lai'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 Jui-Hsin Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui-Hsin Lai more than expected).
Fields of papers citing papers by Jui-Hsin Lai
This network shows the impact of papers produced by Jui-Hsin Lai. 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 Jui-Hsin Lai. The network helps show where Jui-Hsin Lai may publish in the future.
Co-authors
The 14 scholars most cited alongside Jui-Hsin Lai, 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 | NISP: Pruning Networks Using Neuron Importance Score Propagation Hit paper breakdown → | 2018 | 470 |
| 2 | 2008 | 8 | |
| 3 | 2014 | 3 | |
| 4 | 2017 | 2 | |
| 5 | 2011 | 1 | |
| 6 | 2015 | 0 |
About Jui-Hsin Lai
Jui-Hsin Lai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Cognitive Neuroscience and Signal Processing, having authored 6 papers that have together received 484 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Domain Adaptation and Few-Shot Learning (1 paper), Cell Image Analysis Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Visual Attention and Saliency Detection (1 paper), Infrared Target Detection Methodologies (1 paper), Graph Theory and Algorithms (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (417 citations), Computational Mathematics (7 citations), Artificial Intelligence (317 citations), Signal Processing (29 citations) and Neurology (11 citations). Jui-Hsin Lai has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Ching‐Yung Lin, Ruichi Yu, Mingfei Gao, Larry S. Davis, Ang Li, Vlad I. Morariu, Xintong Han, Chun-Fu Chen, Shao‐Yi Chien and Yinglong Xia. Their work appears in journals such as RePEc: Research Papers in Economics.
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.