Huisi Wu
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Neurology top 5%
- Co-authors
- Zhenkun WenBaiying LeiJing QinGuilian ChenWei WangTien‐Tsin WongTong‐Yee LeePheng‐Ann Heng
- Topics
- Advanced Neural Network Applications (16 papers)Advanced Image and Video Retrieval Techniques (15 papers)Medical Image Segmentation Techniques (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Transactions on Medical Imaging
In The Last Decade
Huisi Wu
65 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 860
- Artificial Intelligence 557
- Radiology, Nuclear Medicine and Imaging 497
- Oncology 290
- Neurology 153
Countries citing papers authored by Huisi Wu
This map shows the geographic impact of Huisi Wu'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 Huisi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huisi Wu more than expected).
Fields of papers citing papers by Huisi Wu
This network shows the impact of papers produced by Huisi Wu. 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 Huisi Wu. The network helps show where Huisi Wu may publish in the future.
Co-authorship network of co-authors of Huisi Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Huisi Wu. A scholar is included among the top collaborators of Huisi Wu 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 Huisi Wu. Huisi Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer’s Diseasebreakdown → | 46 |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 34 | |
| 14 | 4 | |
| 15 | 8 | |
| 16 | 16 | |
| 17 | 4 | |
| 18 | 41 | |
| 19 | 1 | |
| 20 | 6 |
About Huisi Wu
Huisi Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Radiology, Nuclear Medicine and Imaging, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (860 citations), Radiology, Nuclear Medicine and Imaging (497 citations) and Computer Graphics and Computer-Aided Design (72 citations). Huisi Wu has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Zhenkun Wen, Baiying Lei, Jing Qin, Guilian Chen, Wei Wang, Jing Qin, Wei Wang, Tien‐Tsin Wong, Tong‐Yee Lee and Pheng‐Ann Heng. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Medical Imaging.
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.