Yaohui Cai

17 total papers · 594 total citations
5 papers, 227 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 227 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 VLSI and FPGA 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 VLSI and FPGA Design Techniques (1 paper). Yaohui Cai collaborates with scholars based in United States and China. Yaohui Cai's co-authors include Zhewei Yao, Michael W. Mahoney, Zhen Dong, Amir Gholami, Kurt Keutzer, Zhiru Zhang, Qijing Huang, Zhen Dong, John Wawrzynek 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 214 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yaohui Cai	158	116	35	20	15	5	227
Michael Figurnov	219 1.4×	152 1.3×	36 1.0×	11 0.6×	18 1.2×	4	267
Peter Jin	221 1.4×	130 1.1×	43 1.2×	10 0.5×	26 1.7×	5	294
Yury Nahshan	180 1.1×	123 1.1×	60 1.7×	10 0.5×	16 1.1×	3	229
Elad Hoffer	183 1.2×	152 1.3×	43 1.2×	7 0.3×	8 0.5×	10	253
Feng Zhu	122 0.8×	81 0.7×	21 0.6×	5 0.3×	11 0.7×	10	166
Sherry Moore	151 1.0×	193 1.7×	22 0.6×	16 0.8×	24 1.6×	3	262
Ziran Wei	184 1.2×	113 1.0×	43 1.2×	5 0.3×	9 0.6×	7	254
Linnan Wang	80 0.5×	104 0.9×	26 0.7×	29 1.4×	28 1.9×	7	195
Wenshuo Li	127 0.8×	112 1.0×	113 3.2×	18 0.9×	15 1.0×	10	220
J. Cloutier	104 0.7×	180 1.6×	42 1.2×	17 0.8×	9 0.6×	9	269

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

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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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