Guyue Hu

43 total papers · 415 total citations
29 papers, 200 citations indexed

About

Guyue Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Guyue Hu has authored 29 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Guyue Hu's work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (4 papers) and Multimodal Machine Learning Applications (3 papers). Guyue Hu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (4 papers) and Multimodal Machine Learning Applications (3 papers). Guyue Hu collaborates with scholars based in China, Singapore and United States. Guyue Hu's co-authors include Bo Cui, Shan Yu, Xiao Wang, Tianzi Jiang, Deru Xu, Guangbin Lei, Xu Wang, Ainong Li, Pete Hollings and Hongyi Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Analytical Chemistry.

In The Last Decade

Guyue Hu

27 papers receiving 197 citations

Author Peers

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

Author Last Decade Papers Cites
Guyue Hu 79 50 47 34 23 29 200
Stevo Bozinovski 38 0.5× 27 0.5× 85 1.8× 5 0.1× 7 0.3× 26 253
Zhiyu Yao 62 0.8× 67 1.3× 48 1.0× 32 0.9× 7 0.3× 27 287
Lei Hao 110 1.4× 9 0.2× 36 0.8× 49 1.4× 50 2.2× 32 279
Jing Ling 80 1.0× 10 0.2× 22 0.5× 42 1.2× 30 1.3× 34 225
Huiquan Zhang 67 0.8× 17 0.3× 19 0.4× 7 0.2× 5 0.2× 46 267
Tianxiang Zhang 69 0.9× 65 1.3× 33 0.7× 4 0.1× 18 0.8× 25 266
Yuchen Wang 63 0.8× 10 0.2× 29 0.6× 13 0.4× 53 2.3× 26 224
Mohit Srivastava 32 0.4× 20 0.4× 32 0.7× 19 0.6× 17 0.7× 31 269
Charlie Mydlarz 46 0.6× 28 0.6× 12 0.3× 36 1.1× 7 0.3× 19 259
Xiu Zhang 22 0.3× 56 1.1× 32 0.7× 10 0.3× 13 0.6× 38 269

Countries citing papers authored by Guyue Hu

Since Specialization
Citations

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

Fields of papers citing papers by Guyue Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guyue Hu

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