Cheng Yu

About

Cheng Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Cheng Yu has authored 36 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Cheng Yu’s work include Generative Adversarial Networks and Image Synthesis (9 papers), Face recognition and analysis (5 papers) and Multimodal Machine Learning Applications (4 papers). Cheng Yu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (9 papers), Face recognition and analysis (5 papers) and Multimodal Machine Learning Applications (4 papers). Cheng Yu collaborates with scholars based in China, Macao and Taiwan. Cheng Yu's co-authors include Yen-Chun Chen, Jun Liu, Jingzhou Liu, Zhe Gan, Wenmin Wang, Fang Zhao, Shuicheng Yan, Jiashi Feng, Jian Zhao and Yang Yang and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Plant Science and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Cheng Yu i

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Fields of papers citing papers by Cheng Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cheng Yu

Since Specialization

Citations

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