Xiaowei Guo
- Computer Vision and Pattern Recognition top 0.5%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Aerospace Engineering top 10%
- Co-authors
- Feiyue HuangWei‐Shi ZhengXing SunJianhuang LaiRongrong JiXinyang JiangAncong WuHong-Xing Yu
- Topics
- Video Surveillance and Tracking Methods (13 papers)Rock Mechanics and Modeling (10 papers)Advanced Neural Network Applications (9 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Xiaowei Guo
61 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 1.4k
- Biomedical Engineering 449
- Artificial Intelligence 325
- Media Technology 182
- Aerospace Engineering 163
Countries citing papers authored by Xiaowei Guo
This map shows the geographic impact of Xiaowei Guo'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 Xiaowei Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Guo more than expected).
Fields of papers citing papers by Xiaowei Guo
This network shows the impact of papers produced by Xiaowei Guo. 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 Xiaowei Guo. The network helps show where Xiaowei Guo may publish in the future.
Co-authorship network of co-authors of Xiaowei Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Guo. A scholar is included among the top collaborators of Xiaowei Guo 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 Xiaowei Guo. Xiaowei Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 17 | |
| 8 | 37 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 68 | |
| 13 | 7 | |
| 14 | 41 | |
| 15 | 4 | |
| 16 | 30 | |
| 17 | Dynamic Refinement Network for Oriented and Densely Packed Object Detectionbreakdown → | 298 |
| 18 | 280 | |
| 19 | A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training. | 8 |
| 20 | Towards convolutional neural networks compression via global error reconstruction | 30 |
About Xiaowei Guo
Xiaowei Guo is a scholar working on Computer Vision and Pattern Recognition, Anatomy and Mechanics of Materials, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Rock Mechanics and Modeling (10 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Media Technology (182 citations) and Biomedical Engineering (449 citations). Xiaowei Guo has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Feiyue Huang, Wei‐Shi Zheng, Xing Sun, Jianhuang Lai, Rongrong Ji, Xinyang Jiang, Ancong Wu, Hong-Xing Yu, Feng Zheng and Shaogang Gong. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.