Xiaowen Li
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Co-authors
- Caitlin R. S. WilliamsRajarshi RoyThomas E. MurphyZhihua WangGuoqing ZhouZezhong ZhengYong WangXiaoting Wang
- Topics
- Advanced Data Compression Techniques (6 papers)Image and Signal Denoising Methods (4 papers)CCD and CMOS Imaging Sensors (3 papers)
- Cited by
- Acoustics and UltrasonicsComputer Vision and Pattern RecognitionStatistical and Nonlinear Physics
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xiaowen Li
24 papers receiving 361 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 249
- Artificial Intelligence 143
- Statistical and Nonlinear Physics 69
- Atomic and Molecular Physics, and Optics 62
- Electrical and Electronic Engineering 61
Countries citing papers authored by Xiaowen Li
This map shows the geographic impact of Xiaowen 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 Xiaowen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowen Li more than expected).
Fields of papers citing papers by Xiaowen Li
This network shows the impact of papers produced by Xiaowen 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 Xiaowen Li. The network helps show where Xiaowen Li may publish in the future.
Co-authorship network of co-authors of Xiaowen Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowen Li. A scholar is included among the top collaborators of Xiaowen 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 Xiaowen Li. Xiaowen 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 66 | |
| 8 | Greedy GDA method for training data reduction and nonlinear feature extraction | 0 |
| 9 | 2 | |
| 10 | 166 | |
| 11 | Design and implementation of encoder and decoder for ASN.1 in TD-SCDMA system | 2 |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 24 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 1 |
About Xiaowen Li
Xiaowen Li is a scholar working on Computer Vision and Pattern Recognition, Gastroenterology and Media Technology, having authored 28 papers that have together received 389 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (6 papers), Image and Signal Denoising Methods (4 papers) and CCD and CMOS Imaging Sensors (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (20 citations), Computer Vision and Pattern Recognition (249 citations) and Statistical and Nonlinear Physics (69 citations). Xiaowen Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Caitlin R. S. Williams, Rajarshi Roy, Thomas E. Murphy, Zhihua Wang, Guoqing Zhou, Zezhong Zheng, Yong Wang, Xiaoting Wang, Yalan Liu and Ling Jiang. Their work appears in journals such as Optics Express, IEEE Access and Molecular Immunology.
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.