Meilu Zhu

18 papers and 221 indexed citations i.

About

Meilu Zhu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Meilu Zhu has authored 18 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Meilu Zhu’s work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Meilu Zhu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Meilu Zhu collaborates with scholars based in Hong Kong, China and United States. Meilu Zhu's co-authors include Yixuan Yuan, Daming Shi, Zhen Chen, Muhammad Sadiq, Chen Yang, Zhe Peng, Junbin Gao, Xiaoqing Guo, Bulat Ibragimov and Jie Liu and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Neural Networks and Computers and Electronics in Agriculture.

In The Last Decade

Co-authorship network of co-authors of Meilu Zhu i

Fields of papers citing papers by Meilu Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meilu Zhu. 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 Meilu Zhu. The network helps show where Meilu Zhu may publish in the future.

Countries citing papers authored by Meilu Zhu

Since Specialization
Citations

This map shows the geographic impact of Meilu Zhu'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 Meilu Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meilu Zhu more than expected).

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.

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2025