Shaowei Liu

99 total papers · 2.0k total citations
63 papers, 1.3k citations indexed

About

Shaowei Liu is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shaowei Liu has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 20 papers in Control and Systems Engineering and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shaowei Liu's work include Machine Fault Diagnosis Techniques (15 papers), Gear and Bearing Dynamics Analysis (10 papers) and IPv6, Mobility, Handover, Networks, Security (9 papers). Shaowei Liu is often cited by papers focused on Machine Fault Diagnosis Techniques (15 papers), Gear and Bearing Dynamics Analysis (10 papers) and IPv6, Mobility, Handover, Networks, Security (9 papers). Shaowei Liu collaborates with scholars based in China, United States and Taiwan. Shaowei Liu's co-authors include Hongkai Jiang, Zhenghong Wu, Xingqiu Li, Xiaolong Wang, Hanwen Jiang, Ruixin Wang, Yunpeng Liu, Peng Cui, Wenwu Zhu and Jiashun Wang and has published in prestigious journals such as Sustainability, Mechanical Systems and Signal Processing and Reliability Engineering & System Safety.

In The Last Decade

Shaowei Liu

59 papers receiving 1.3k citations

Hit Papers

Data synthesis using deep... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Shaowei Liu 873 433 341 305 222 63 1.3k
Fei Wang 418 0.5× 212 0.5× 284 0.8× 241 0.8× 122 0.5× 61 1.3k
Yunfeng Ai 481 0.6× 249 0.6× 557 1.6× 230 0.8× 102 0.5× 77 1.8k
Jianbin Xiong 913 1.0× 483 1.1× 101 0.3× 237 0.8× 308 1.4× 73 1.5k
Xin Zhang 950 1.1× 868 2.0× 307 0.9× 165 0.5× 381 1.7× 53 1.8k
Jin S. Lee 823 0.9× 300 0.7× 161 0.5× 227 0.7× 100 0.5× 70 1.5k
Dongdong Liu 994 1.1× 560 1.3× 89 0.3× 188 0.6× 317 1.4× 100 1.4k
M.G. Rodd 839 1.0× 324 0.7× 277 0.8× 150 0.5× 18 0.1× 65 1.5k
Marina Indri 677 0.8× 448 1.0× 303 0.9× 100 0.3× 24 0.1× 95 1.3k
Xiaohan Chen 748 0.9× 436 1.0× 212 0.6× 232 0.8× 246 1.1× 49 1.2k
Xiangdong Zhou 245 0.3× 145 0.3× 852 2.5× 418 1.4× 69 0.3× 100 1.5k

Countries citing papers authored by Shaowei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shaowei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaowei Liu

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