Wenhao Wu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Co-authors
- Wanli OuyangMinghang HeCong YaoJingdong WangXiang BaiPengyuan LyuMinghui LiaoDongliang He
- Topics
- Human Pose and Action Recognition (12 papers)Topic Modeling (10 papers)Multimodal Machine Learning Applications (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceConstruction and Building Materials
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Wenhao Wu
66 papers receiving 949 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 623
- Artificial Intelligence 370
- Media Technology 96
- Control and Systems Engineering 74
- Biomedical Engineering 72
Countries citing papers authored by Wenhao Wu
This map shows the geographic impact of Wenhao 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 Wenhao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenhao Wu more than expected).
Fields of papers citing papers by Wenhao Wu
This network shows the impact of papers produced by Wenhao 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 Wenhao Wu. The network helps show where Wenhao Wu may publish in the future.
Co-authorship network of co-authors of Wenhao Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Wenhao Wu. A scholar is included among the top collaborators of Wenhao 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 Wenhao Wu. Wenhao 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 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 28 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 22 | |
| 20 | 8 |
About Wenhao Wu
Wenhao Wu is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Artificial Intelligence, having authored 71 papers that have together received 972 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (12 papers), Topic Modeling (10 papers) and Multimodal Machine Learning Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (623 citations), Artificial Intelligence (370 citations) and Media Technology (96 citations). Wenhao Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Wanli Ouyang, Minghang He, Cong Yao, Jingdong Wang, Xiang Bai, Pengyuan Lyu, Minghui Liao, Dongliang He, Errui Ding and Zhun Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Construction and Building Materials.
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.