Shubo Liu

142 total papers · 2.0k total citations
93 papers, 1.4k citations indexed

About

Shubo Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Shubo Liu has authored 93 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Shubo Liu's work include Privacy-Preserving Technologies in Data (19 papers), Ocean Waves and Remote Sensing (11 papers) and Cryptography and Data Security (10 papers). Shubo Liu is often cited by papers focused on Privacy-Preserving Technologies in Data (19 papers), Ocean Waves and Remote Sensing (11 papers) and Cryptography and Data Security (10 papers). Shubo Liu collaborates with scholars based in China, United States and Hong Kong. Shubo Liu's co-authors include Zhaohui Cai, Xingxing Xiong, Guoqing Tu, Zhuoqing Chang, Jing Sun, Jun Wang, Xinran Wang, David Ahlström, Michael N. Young and Terence Tsai and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Shubo Liu

86 papers receiving 1.4k citations

Hit Papers

A Survey of Recent Advanc... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Shubo Liu 429 236 209 182 171 93 1.4k
Atiq Ur Rehman 280 0.7× 82 0.3× 102 0.5× 204 1.1× 115 0.7× 147 1.4k
Zhengxin Chen 454 1.1× 134 0.6× 104 0.5× 34 0.2× 265 1.5× 118 1.3k
Lu Han 553 1.3× 170 0.7× 132 0.6× 208 1.1× 63 0.4× 112 1.5k
Lingling Wang 168 0.4× 219 0.9× 106 0.5× 71 0.4× 108 0.6× 102 1.1k
Chien-Lung Hsu 609 1.4× 157 0.7× 479 2.3× 68 0.4× 592 3.5× 84 1.3k
Yi Cao 303 0.7× 424 1.8× 27 0.1× 139 0.8× 59 0.3× 96 1.7k
Hongbin Huang 144 0.3× 99 0.4× 417 2.0× 237 1.3× 83 0.5× 205 1.2k
Xiao Xue 437 1.0× 164 0.7× 319 1.5× 109 0.6× 393 2.3× 154 1.5k
Zhenhua Yu 283 0.7× 244 1.0× 403 1.9× 188 1.0× 106 0.6× 147 1.8k
Jing Liu 522 1.2× 139 0.6× 95 0.5× 79 0.4× 91 0.5× 79 1.1k

Countries citing papers authored by Shubo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shubo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubo Liu

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