Pengxiang Wu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Aerospace Engineering top 10%
- Co-authors
- Dimitris MetaxasJingru YiQiaoying HuangHui QuSiheng ChenBo LiuDaniel J. HoeppnerDong Yang
- Topics
- Medical Image Segmentation Techniques (6 papers)Cell Image Analysis Techniques (6 papers)Medical Imaging Techniques and Applications (5 papers)
- Partner nations
- United StatesNetherlandsSweden
In The Last Decade
Pengxiang Wu
25 papers receiving 817 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 516
- Artificial Intelligence 193
- Media Technology 160
- Radiology, Nuclear Medicine and Imaging 150
- Aerospace Engineering 121
Countries citing papers authored by Pengxiang Wu
This map shows the geographic impact of Pengxiang 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 Pengxiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengxiang Wu more than expected).
Fields of papers citing papers by Pengxiang Wu
This network shows the impact of papers produced by Pengxiang 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 Pengxiang Wu. The network helps show where Pengxiang Wu may publish in the future.
Co-authorship network of co-authors of Pengxiang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Pengxiang Wu. A scholar is included among the top collaborators of Pengxiang 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 Pengxiang Wu. Pengxiang 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 | 4 | |
| 2 | Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectorsbreakdown → | 233 |
| 3 | 32 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 66 | |
| 10 | 3 | |
| 11 | 67 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 46 | |
| 15 | 18 | |
| 16 | Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images | 22 |
| 17 | Dynamic MRI Reconstruction with Motion-Guided Network | 2 |
| 18 | 14 | |
| 19 | 11 | |
| 20 | 23 |
About Pengxiang Wu
Pengxiang Wu is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Media Technology, having authored 25 papers that have together received 832 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Cell Image Analysis Techniques (6 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (516 citations), Media Technology (160 citations) and Biophysics (78 citations). Pengxiang Wu has collaborated with scholars based in United States, Netherlands and Sweden. Frequent co-authors include Dimitris Metaxas, Jingru Yi, Qiaoying Huang, Hui Qu, Siheng Chen, Bo Liu, Daniel J. Hoeppner, Dimitris Metaxas, Dong Yang and Menglin Jiang. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Medical Image Analysis and Laser & Photonics Review.
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.