Mengzhu Wang
- Environmental Chemistry top 2%
- Aquatic Ecosystems and Phytoplankton Dynamics 6
- Water Science and Technology top 5%
- Geochemistry and Petrology top 5%
- Oceanography top 5%
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- Domain Adaptation and Few-Shot Learning 26
- Machine Learning and ELM 6
- Topic Modeling 5
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- Multimodal Machine Learning Applications 19
- Video Surveillance and Tracking Methods 6
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- MRI in cancer diagnosis 12
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Yindong TongXuejun WangWei ZhangQi MiaoYan LinAlexandra C. RacanelliHuijie CuiShijie Zhou
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (4 papers)IEEE Transactions on Computational Social Systems (4 papers)IEEE Transactions on Image Processing (3 papers)
- 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
- Geochemistry and Petrology 127
- Industrial and Manufacturing Engineering 126
- Oceanography 179
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
The 25 scholars most cited alongside Mengzhu Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 26 | |
| 12 | 2023 | 57 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 21 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 0 | |
| 18 | 2022 | 5 | |
| 19 | 2019 | 45 | |
| 20 | Diurnal Variations in Solar Ultraviolet Radiation on Horizontal and Vertical Plane | 2010 | 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), MRI in cancer diagnosis (12 papers), Aquatic Ecosystems and Phytoplankton Dynamics (6 papers), Video Surveillance and Tracking Methods (6 papers), Machine Learning and ELM (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Topic Modeling (5 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 IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Computational Social Systems, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and Pattern Recognition.
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.