Wenqi Shao
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Ocean Engineering
- Computational Mechanics
- Co-authors
- Ping LuoRuimao ZhangXiaogang WangZhanglin PengJingyu LiZhaoyang ZhangYu QiaoKaipeng Zhang
- Topics
- Advanced Neural Network Applications (8 papers)Multimodal Machine Learning Applications (6 papers)Topic Modeling (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceEnergy
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wenqi Shao
28 papers receiving 219 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 121
- Artificial Intelligence 97
- Electrical and Electronic Engineering 21
- Ocean Engineering 19
- Computational Mechanics 17
Countries citing papers authored by Wenqi Shao
This map shows the geographic impact of Wenqi Shao'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 Wenqi Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenqi Shao more than expected).
Fields of papers citing papers by Wenqi Shao
This network shows the impact of papers produced by Wenqi Shao. 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 Wenqi Shao. The network helps show where Wenqi Shao may publish in the future.
Co-authorship network of co-authors of Wenqi Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Wenqi Shao. A scholar is included among the top collaborators of Wenqi Shao 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 Wenqi Shao. Wenqi Shao 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 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution | 1 |
| 16 | 31 | |
| 17 | Differentiable Dynamic Normalization for Learning Deep Representation | 11 |
| 18 | 4 | |
| 19 | Understanding Regularization in Batch Normalization | 1 |
| 20 | Pain as a mutual experience for patients, nurses and families: a perspective from Shanghai, China. | 3 |
About Wenqi Shao
Wenqi Shao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 37 papers that have together received 231 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Multimodal Machine Learning Applications (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (121 citations), Artificial Intelligence (97 citations) and Health Informatics (4 citations). Wenqi Shao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ping Luo, Ruimao Zhang, Xiaogang Wang, Zhanglin Peng, Jingyu Li, Zhaoyang Zhang, Yu Qiao, Kaipeng Zhang, Tianjian Meng and Xinjiang Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Energy.
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.