Yaohui Cai

601 total citations
5 papers, 235 citations indexed

About

Yaohui Cai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yaohui Cai has authored 5 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Yaohui Cai's work include Advanced Image and Video Retrieval Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Embedded Systems Design Techniques (1 paper). Yaohui Cai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Embedded Systems Design Techniques (1 paper). Yaohui Cai collaborates with scholars based in United States and China. Yaohui Cai's co-authors include Zhen Dong, Michael W. Mahoney, Kurt Keutzer, Amir Gholami, Zhewei Yao, Zhiru Zhang, BoRui Wu, Zhen Dong, Qijing Huang and Kaixin Yang and has published in prestigious journals such as ACM Transactions on Reconfigurable Technology and Systems.

In The Last Decade

Yaohui Cai

5 papers receiving 222 citations

Peers

Yaohui Cai
Michael Figurnov United States
Tijmen Blankevoort United Kingdom
Peiyan Dong United States
Zheng Zhan United States
Sherry Moore United States
Linnan Wang United States
Michael Figurnov United States
Yaohui Cai
Citations per year, relative to Yaohui Cai Yaohui Cai (= 1×) peers Michael Figurnov

Countries citing papers authored by Yaohui Cai

Since Specialization
Citations

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

Fields of papers citing papers by Yaohui Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaohui Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Yaohui Cai. A scholar is included among the top collaborators of Yaohui 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 Yaohui Cai. Yaohui Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Cai, Yaohui, et al.. (2025). SmoothE: Differentiable E-Graph Extraction. 1020–1034. 3 indexed citations
2.
Cai, Yaohui, et al.. (2024). Understanding the Potential of FPGA-based Spatial Acceleration for Large Language Model Inference. ACM Transactions on Reconfigurable Technology and Systems. 18(1). 1–29. 28 indexed citations
3.
Cai, Yaohui, et al.. (2024). A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs. 185–185. 4 indexed citations
4.
Cai, Yaohui, Zhewei Yao, Zhen Dong, et al.. (2020). ZeroQ: A Novel Zero Shot Quantization Framework. 13166–13175. 195 indexed citations
5.
Huang, Qijing, Dequan Wang, Yizhao Gao, et al.. (2019). Algorithm-hardware Co-design for Deformable Convolution. 48–51. 5 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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