Depu Meng

About

Depu Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Depu Meng has authored 6 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Biomedical Engineering. Recurrent topics in Depu Meng’s work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Depu Meng is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Depu Meng collaborates with scholars based in China, United States and United Kingdom. Depu Meng's co-authors include Jingdong Wang, Houqiang Li, Gang Zeng, Yuhui Yuan, Zejia Fan, Lei Sun, Xiaokang Chen, Dongchun Ren, Zhaoxiang Zhang and Zhuowen Tu and has published in prestigious journals such as IEEE Transactions on Multimedia, IEEE Transactions on Intelligent Vehicles and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Depu Meng i

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Fields of papers citing papers by Depu Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Depu Meng

Since Specialization

Citations

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