Siyu Gao

56 total papers · 745 total citations
34 papers, 586 citations indexed

About

Siyu Gao is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Siyu Gao has authored 34 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Electrical and Electronic Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Siyu Gao's work include Oceanographic and Atmospheric Processes (3 papers), Nonlinear Waves and Solitons (3 papers) and Adaptive optics and wavefront sensing (2 papers). Siyu Gao is often cited by papers focused on Oceanographic and Atmospheric Processes (3 papers), Nonlinear Waves and Solitons (3 papers) and Adaptive optics and wavefront sensing (2 papers). Siyu Gao collaborates with scholars based in China, United States and Singapore. Siyu Gao's co-authors include Yi Zeng, Jie Lü, Xiaodong Chen, Liang Pan, Ming Wang, Jiancan Yu, Hong Wang, Pingqiang Cai, Ting Wang and Ke He and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Psychology and Journal of the Optical Society of America A.

In The Last Decade

Siyu Gao

25 papers receiving 575 citations

Hit Papers

Gesture recognition using... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Siyu Gao 353 201 182 105 83 34 586
Oliver Ozioko 474 1.3× 217 1.1× 276 1.5× 109 1.0× 113 1.4× 26 634
Alisha Menon 373 1.1× 224 1.1× 180 1.0× 80 0.8× 139 1.7× 11 622
Kyungseo Park 368 1.0× 184 0.9× 199 1.1× 35 0.3× 50 0.6× 34 573
Luca Ascari 343 1.0× 112 0.6× 246 1.4× 37 0.4× 42 0.5× 33 588
Steven Nagels 192 0.5× 239 1.2× 92 0.5× 80 0.8× 87 1.0× 11 523
Michael Foshey 387 1.1× 93 0.5× 215 1.2× 93 0.9× 141 1.7× 18 689
Xiong Li 321 0.9× 222 1.1× 116 0.6× 49 0.5× 32 0.4× 38 523
Jianhua Shan 248 0.7× 123 0.6× 191 1.0× 17 0.2× 81 1.0× 36 503
Jose Barreiros 381 1.1× 215 1.1× 154 0.8× 48 0.5× 55 0.7× 20 545
Cheng Yu 364 1.0× 150 0.7× 198 1.1× 72 0.7× 51 0.6× 27 574

Countries citing papers authored by Siyu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Siyu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyu Gao

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