Guanglu Song

86 total papers · 2.3k total citations
22 papers, 1.1k citations indexed

About

Guanglu Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Guanglu Song has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Guanglu Song's work include Advanced Neural Network Applications (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Surveillance and Tracking Methods (6 papers). Guanglu Song is often cited by papers focused on Advanced Neural Network Applications (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Surveillance and Tracking Methods (6 papers). Guanglu Song collaborates with scholars based in China, Hong Kong and Singapore. Guanglu Song's co-authors include Yu Liu, Xiaogang Wang, Zhuofan Zong, Hongsheng Li, Yu Qiao, Kunchang Li, Junhao Zhang, Yali Wang, Peng Gao and Biao Leng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Neurocomputing.

In The Last Decade

Guanglu Song

20 papers receiving 1.0k citations

Hit Papers

Revisiting the Sibling He... 2020 2026 2022 2024 2020 2023 2023 2024 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Guanglu Song 752 241 142 118 116 22 1.1k
Lingxiao Yang 838 1.1× 175 0.7× 99 0.7× 60 0.5× 157 1.4× 23 1.2k
Siyuan Qiao 999 1.3× 365 1.5× 182 1.3× 70 0.6× 165 1.4× 25 1.4k
Bharat Singh 948 1.3× 369 1.5× 128 0.9× 58 0.5× 101 0.9× 21 1.2k
Yi Jiang 970 1.3× 316 1.3× 200 1.4× 60 0.5× 136 1.2× 34 1.3k
Shilong Liu 698 0.9× 271 1.1× 170 1.2× 41 0.3× 112 1.0× 22 1.0k
Doyen Sahoo 600 0.8× 419 1.7× 100 0.7× 62 0.5× 102 0.9× 21 1.3k
Lei Zhu 679 0.9× 151 0.6× 114 0.8× 48 0.4× 189 1.6× 23 1000
Yuan Li 751 1.0× 273 1.1× 106 0.7× 72 0.6× 112 1.0× 30 1.1k
Kari Saarinen 660 0.9× 156 0.6× 98 0.7× 113 1.0× 170 1.5× 38 1.3k
Xiongwei Wu 637 0.8× 287 1.2× 138 1.0× 58 0.5× 123 1.1× 23 1.2k

Countries citing papers authored by Guanglu Song

Since Specialization
Citations

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

Fields of papers citing papers by Guanglu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglu Song

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