Guanyu Cai

27 total papers · 965 total citations
10 papers, 245 citations indexed

About

Guanyu Cai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Guanyu Cai has authored 10 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Mechanical Engineering. Recurrent topics in Guanyu Cai's work include Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Guanyu Cai is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Guanyu Cai collaborates with scholars based in China, United States and Singapore. Guanyu Cai's co-authors include Lianghua He, MengChu Zhou, Yuqin Wang, Yixiao Ge, Xudong Lin, Ying Shan, Xiaohu Qie, Rui Yan, Mike Zheng Shou and Yuying Ge and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Electromagnetic Compatibility.

In The Last Decade

Guanyu Cai

9 papers receiving 244 citations

Author Peers

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

Author Last Decade Papers Cites
Guanyu Cai 176 127 14 10 10 10 245
Xiaohu Cheng 104 0.6× 187 1.5× 15 1.1× 11 1.1× 9 0.9× 9 272
Xingxuan Zhang 107 0.6× 170 1.3× 17 1.2× 7 0.7× 4 0.4× 12 256
Linjun Zhou 101 0.6× 166 1.3× 15 1.1× 6 0.6× 4 0.4× 7 234
Yiming Hao 198 1.1× 80 0.6× 12 0.9× 16 1.6× 6 0.6× 9 314
Taylor Mordan 141 0.8× 94 0.7× 12 0.9× 13 1.3× 3 0.3× 11 213
Hanshu Yan 138 0.8× 104 0.8× 20 1.4× 11 1.1× 4 0.4× 11 226
Amir Najafi 123 0.7× 154 1.2× 8 0.6× 5 0.5× 5 0.5× 7 225
Lin Chen 116 0.7× 127 1.0× 14 1.0× 13 1.3× 2 0.2× 11 196
Zhi Hou 153 0.9× 99 0.8× 18 1.3× 12 1.2× 7 0.7× 13 218
Haoran Wang 165 0.9× 164 1.3× 10 0.7× 7 0.7× 9 0.9× 12 267

Countries citing papers authored by Guanyu Cai

Since Specialization
Citations

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

Fields of papers citing papers by Guanyu Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanyu Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Guanyu Cai. A scholar is included among the top collaborators of Guanyu 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 Guanyu Cai. Guanyu 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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