Ye Zheng

About

Ye Zheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Ye Zheng has authored 11 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Ye Zheng’s work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (2 papers). Ye Zheng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (2 papers). Ye Zheng collaborates with scholars based in China and United States. Ye Zheng's co-authors include Liwei Wu, Li Cui, Li Cui, Yongqiang Qin, Xiang Wang, Rui Zhao, Rui Zhao, Donghai Li, Rui Deng and Chong Wang and has published in prestigious journals such as Applied Sciences, Applied Intelligence and IEEE Transactions on Circuits & Systems II Express Briefs.

In The Last Decade

Co-authorship network of co-authors of Ye Zheng i

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Fields of papers citing papers by Ye Zheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ye Zheng

Since Specialization

Citations

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