Xuli Zong
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Andrew F. LaineEdward A. GeiserDavid C. WilsonChung-wei LeeJyh-haw YehWen‐Chen HuAnke Meyer‐BaeseDonald A. Conetta
- Topics
- Image and Signal Denoising Methods (8 papers)Advanced Image Fusion Techniques (6 papers)Medical Image Segmentation Techniques (3 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Medical ImagingColumbia Academic Commons (Columbia University)
- Partner nations
- United States
In The Last Decade
Xuli Zong
8 papers receiving 304 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 282
- Media Technology 163
- Radiology, Nuclear Medicine and Imaging 62
- Biomedical Engineering 60
- Artificial Intelligence 24
Countries citing papers authored by Xuli Zong
This map shows the geographic impact of Xuli Zong'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 Xuli Zong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuli Zong more than expected).
Fields of papers citing papers by Xuli Zong
This network shows the impact of papers produced by Xuli Zong. 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 Xuli Zong. The network helps show where Xuli Zong may publish in the future.
Co-authorship network of co-authors of Xuli Zong
This figure shows the co-authorship network connecting the top 25 collaborators of Xuli Zong. A scholar is included among the top collaborators of Xuli Zong 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 Xuli Zong. Xuli Zong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | World Wide Web Usage Mining Systems and Technologies | 13 |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 247 | |
| 6 | Sub-octave wavelet representations and applications for medical image processing | 1 |
| 7 | 10 | |
| 8 | 39 | |
| 9 | 16 |
About Xuli Zong
Xuli Zong is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 9 papers that have together received 338 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Advanced Image Fusion Techniques (6 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Media Technology (163 citations), Computer Vision and Pattern Recognition (282 citations) and Radiology, Nuclear Medicine and Imaging (62 citations). Xuli Zong has collaborated with scholars based in United States. Frequent co-authors include Andrew F. Laine, Edward A. Geiser, David C. Wilson, Chung-wei Lee, Jyh-haw Yeh, Wen‐Chen Hu, Anke Meyer‐Baese and Donald A. Conetta. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Columbia Academic Commons (Columbia University).
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.