Xiaobo Li
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Richard T. PremontWu ZhouRonggui YangJunwei DongZhi-Qiang LiuPaul LuJonathan SchaefferLionel M. Ni
- Topics
- Metaheuristic Optimization Algorithms Research (9 papers)Evolutionary Algorithms and Applications (7 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)
- Journals
- Chemical Society ReviewsSHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Xiaobo Li
51 papers receiving 900 citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 350
- Artificial Intelligence 273
- Computer Networks and Communications 104
- Molecular Biology 91
- Radiology, Nuclear Medicine and Imaging 74
Countries citing papers authored by Xiaobo Li
This map shows the geographic impact of Xiaobo Li'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 Xiaobo Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobo Li more than expected).
Fields of papers citing papers by Xiaobo Li
This network shows the impact of papers produced by Xiaobo Li. 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 Xiaobo Li. The network helps show where Xiaobo Li may publish in the future.
Co-authorship network of co-authors of Xiaobo Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Li. A scholar is included among the top collaborators of Xiaobo Li 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 Xiaobo Li. Xiaobo Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Multi-Scale Three-Path Network (MSTP-Net): A new architecture for retinal vessel segmentationbreakdown → | 13 |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 37 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 25 | |
| 11 | 12 | |
| 12 | 25 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 11 | |
| 17 | A Study of Prediction Measures for Lossy Image Set Compression. | 4 |
| 18 | Hierarchical Minimum Spanning Trees for Lossy Image Set Compression. | 2 |
| 19 | Optimized multiple wavetable interpolation | 0 |
| 20 | 216 |
About Xiaobo Li
Xiaobo Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics, having authored 60 papers that have together received 960 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (350 citations), Artificial Intelligence (273 citations) and Hardware and Architecture (57 citations). Xiaobo Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Richard T. Premont, Wu Zhou, Ronggui Yang, Junwei Dong, Zhi-Qiang Liu, Paul Lu, Jonathan Schaeffer, Lionel M. Ni, Zhonglong Zheng and Weiping Ding. Their work appears in journals such as Chemical Society Reviews, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.