Wen-Jia Kuo
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Media Technology top 5%
- Health Information Management top 5%
- Topics
- AI in cancer detection (4 papers)Image and Signal Denoising Methods (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Journals
- Breast Cancer Research and TreatmentUltrasound in Medicine & BiologyJournal of information science and engineering
- Partner nations
- TaiwanSouth Korea
In The Last Decade
Wen-Jia Kuo
6 papers receiving 338 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 190
- Computer Vision and Pattern Recognition 168
- Radiology, Nuclear Medicine and Imaging 122
- Media Technology 71
- Health Information Management 37
Countries citing papers authored by Wen-Jia Kuo
This map shows the geographic impact of Wen-Jia Kuo'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 Wen-Jia Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-Jia Kuo more than expected).
Fields of papers citing papers by Wen-Jia Kuo
This network shows the impact of papers produced by Wen-Jia Kuo. 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 Wen-Jia Kuo. The network helps show where Wen-Jia Kuo may publish in the future.
Co-authorship network of co-authors of Wen-Jia Kuo
This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Jia Kuo. A scholar is included among the top collaborators of Wen-Jia Kuo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wen-Jia Kuo. Wen-Jia Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 82 | |
| 4 | 31 | |
| 5 | 160 | |
| 6 | 86 | |
| 7 | Images Coding Using Two-Pass Side-Match Finite-State Vector Quantization | 3 |
About Wen-Jia Kuo
Wen-Jia Kuo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 7 papers that have together received 368 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Image and Signal Denoising Methods (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (168 citations), Media Technology (71 citations) and Health Information Management (37 citations). Wen-Jia Kuo has collaborated with scholars based in Taiwan and South Korea. Frequent co-authors include Ruey‐Feng Chang, Dar‐Ren Chen, Chien‐Chung Lin, Ming‐Chun Chen, Cheng Chun Lee and Woo Kyung Moon. Their work appears in journals such as Breast Cancer Research and Treatment, Ultrasound in Medicine & Biology and Journal of information science and engineering.
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.