Weitao Wan
- Building and Construction top 2%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering top 10%
- Artificial Intelligence top 10%
- Molecular Biology
- Topics
- Domain Adaptation and Few-Shot Learning (5 papers)Anaerobic Digestion and Biogas Production (4 papers)Multimodal Machine Learning Applications (4 papers)
- Cited by
- Building and ConstructionEnergy Engineering and Power TechnologyComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingInternational Journal of Hydrogen Energy
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Weitao Wan
21 papers receiving 910 citations
Peers
Comparison fields: 5 of 116
- Building and Construction 308
- Computer Vision and Pattern Recognition 296
- Biomedical Engineering 276
- Artificial Intelligence 138
- Molecular Biology 128
Countries citing papers authored by Weitao Wan
This map shows the geographic impact of Weitao Wan'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 Weitao Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weitao Wan more than expected).
Fields of papers citing papers by Weitao Wan
This network shows the impact of papers produced by Weitao Wan. 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 Weitao Wan. The network helps show where Weitao Wan may publish in the future.
Co-authorship network of co-authors of Weitao Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Weitao Wan. A scholar is included among the top collaborators of Weitao Wan 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 Weitao Wan. Weitao Wan 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 | 7 | |
| 3 | 9 | |
| 4 | 19 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 72 | |
| 8 | 31 | |
| 9 | 2 | |
| 10 | 62 | |
| 11 | 7 | |
| 12 | 58 | |
| 13 | 94 | |
| 14 | 46 | |
| 15 | 123 | |
| 16 | 81 | |
| 17 | 203 | |
| 18 | 83 | |
| 19 | 2 | |
| 20 | 15 |
About Weitao Wan
Weitao Wan is a scholar working on Computer Vision and Pattern Recognition, Building and Construction and Artificial Intelligence, having authored 21 papers that have together received 941 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Anaerobic Digestion and Biogas Production (4 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Building and Construction (308 citations), Energy Engineering and Power Technology (68 citations) and Computer Vision and Pattern Recognition (296 citations). Weitao Wan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jun Wang, Jun Wang, Jiansheng Chen, Tianpeng Li, Jun Wang, Yiqing Huang, Youze Xue, Yuanyi Zhong, Yu Cheng and Wanli Ouyang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Hydrogen 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.