Mengzhu Wang
- Environmental Chemistry top 2%
- Water Science and Technology top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Yindong TongXuejun WangWei ZhangQi MiaoYan LinAlexandra C. RacanelliHuijie CuiShijie Zhou
- Topics
- Domain Adaptation and Few-Shot Learning (26 papers)Multimodal Machine Learning Applications (19 papers)MRI in cancer diagnosis (12 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaEnvironmental Science & Technology
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Mengzhu Wang
102 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Environmental Chemistry 372
- Water Science and Technology 349
- Artificial Intelligence 306
- Radiology, Nuclear Medicine and Imaging 215
- Computer Vision and Pattern Recognition 198
Countries citing papers authored by Mengzhu Wang
This map shows the geographic impact of Mengzhu Wang'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 Mengzhu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengzhu Wang more than expected).
Fields of papers citing papers by Mengzhu Wang
This network shows the impact of papers produced by Mengzhu Wang. 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 Mengzhu Wang. The network helps show where Mengzhu Wang may publish in the future.
Co-authorship network of co-authors of Mengzhu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Mengzhu Wang. A scholar is included among the top collaborators of Mengzhu Wang 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 Mengzhu Wang. Mengzhu Wang 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 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 26 | |
| 12 | 57 | |
| 13 | 2 | |
| 14 | 21 | |
| 15 | 8 | |
| 16 | 3 | |
| 17 | 0 | |
| 18 | 5 | |
| 19 | 45 | |
| 20 | Diurnal Variations in Solar Ultraviolet Radiation on Horizontal and Vertical Plane | 3 |
About Mengzhu Wang
Mengzhu Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Environmental Chemistry, having authored 115 papers that have together received 2.1k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (26 papers), Multimodal Machine Learning Applications (19 papers) and MRI in cancer diagnosis (12 papers). The work is most often cited by research in Environmental Chemistry (372 citations), Water Science and Technology (349 citations) and Geochemistry and Petrology (127 citations). Mengzhu Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yindong Tong, Xuejun Wang, Wei Zhang, Qi Miao, Yan Lin, Alexandra C. Racanelli, Huijie Cui, Shijie Zhou, Ling Zhang and Ying Lu. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.