Mu Cai

35 total papers · 476 total citations
2 papers, 58 citations indexed

About

Mu Cai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Mu Cai has authored 2 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Mu Cai’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image Processing Techniques (1 paper) and Advanced Neural Network Applications (1 paper). Mu Cai is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image Processing Techniques (1 paper) and Advanced Neural Network Applications (1 paper). Mu Cai collaborates with scholars based in United States and China. Mu Cai's co-authors include Yixuan Li, Gao Huang, Hong Zhang and Qichuan Geng and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Co-authorship network of co-authors of Mu Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Mu Cai. A scholar is included among the top collaborators of Mu Cai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mu Cai. Mu Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Mu Cai

2 papers receiving 56 citations

Fields of papers citing papers by Mu Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mu Cai

Since Specialization
Citations

This map shows the geographic impact of Mu Cai'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 Mu Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu Cai 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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2026