Mu Cai

480 total citations
11 papers, 112 citations indexed

About

Mu Cai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Mu Cai has authored 11 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Mu Cai's work include Topic Modeling (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Multimodal Machine Learning Applications (2 papers). Mu Cai is often cited by papers focused on Topic Modeling (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Multimodal Machine Learning Applications (2 papers). Mu Cai collaborates with scholars based in United States, China and Canada. Mu Cai's co-authors include Yixuan Li, Hong Zhang, Qichuan Geng, Gao Huang, Masayoshi Tomizuka, Liting Sun, Yuning Chai, Yong Jae Lee, Siva Karthik Mustikovela and Wei Zhan 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

Mu Cai

9 papers receiving 109 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mu Cai United States 6 72 41 12 7 7 11 112
Baptiste Magnier France 7 98 1.4× 20 0.5× 18 1.5× 3 0.4× 5 0.7× 29 134
Yingjie Liu China 5 72 1.0× 33 0.8× 9 0.8× 4 0.6× 7 1.0× 14 129
Liuyu Xiang China 6 83 1.2× 74 1.8× 10 0.8× 4 0.6× 2 0.3× 14 140
Leonard Lausen United States 3 50 0.7× 61 1.5× 8 0.7× 3 0.4× 2 0.3× 5 127
Devin Guillory United States 4 76 1.1× 43 1.0× 14 1.2× 4 0.6× 2 0.3× 4 113
Akshita Gupta India 5 108 1.5× 66 1.6× 18 1.5× 2 0.3× 6 0.9× 7 156
Simiao Lai China 4 132 1.8× 32 0.8× 22 1.8× 6 0.9× 4 0.6× 6 180

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).

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.

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.

All Works

11 of 11 papers shown
1.
2.
Cai, Mu, et al.. (2024). VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation. 3647–3659. 1 indexed citations
3.
4.
Cai, Mu, et al.. (2024). Yo'LLaVA: Your Personalized Language and Vision Assistant. 40913–40951.
5.
Cai, Mu, et al.. (2024). ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts. 12914–12923. 13 indexed citations
6.
7.
Cai, Mu & Yixuan Li. (2023). Out-of-distribution Detection via Frequency-regularized Generative Models. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5510–5519. 14 indexed citations
8.
Cai, Mu, et al.. (2021). Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13910–13920. 59 indexed citations
9.
Sun, Liting, Mu Cai, Wei Zhan, & Masayoshi Tomizuka. (2020). A Game-Theoretic Strategy-Aware Interaction Algorithm with Validation on Real Traffic Data. 11038–11044. 9 indexed citations
10.
Cai, Mu. (2009). M-Elite Coevolutionary Algorithm for Numerical Optimization. 6 indexed citations
11.
Cai, Mu & Stephen M. Tanny. (2008). How the Shift Parameter Affects the Behavior of a Family of Meta-Fibonacci Sequences. 1 indexed citations

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