Q. Liu

107 total papers · 1.1k total citations
11 papers, 222 citations indexed

About

Q. Liu is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Q. Liu has authored 11 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ocean Engineering, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Social Psychology. Recurrent topics in Q. Liu's work include Maritime Navigation and Safety (4 papers), Handwritten Text Recognition Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Q. Liu is often cited by papers focused on Maritime Navigation and Safety (4 papers), Handwritten Text Recognition Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Q. Liu collaborates with scholars based in China, Singapore and United States. Q. Liu's co-authors include Hongyu Lin, Le Sun, Xianpei Han, Xinyan Xiao, Hua Wu, Yaojie Lu, Chew Lim Tan, Lei Wang, Haoqi Zhang and Liping Zhang and has published in prestigious journals such as Safety Science, Applied Sciences and Ocean Engineering.

In The Last Decade

Q. Liu

7 papers receiving 216 citations

Hit Papers

Unified Structure Generat... 2022 2026 2023 2024 2022 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
Q. Liu 182 40 38 19 13 11 222
Lujun Zhao 251 1.4× 27 0.7× 34 0.9× 26 1.4× 18 1.4× 11 285
Francesco Piccinno 198 1.1× 39 1.0× 29 0.8× 45 2.4× 9 0.7× 16 236
Gourab Kundu 167 0.9× 35 0.9× 28 0.7× 41 2.2× 23 1.8× 16 222
Ye Zhang 145 0.8× 42 1.1× 8 0.2× 23 1.2× 9 0.7× 7 181
Frode Sørmo 121 0.7× 19 0.5× 8 0.2× 12 0.6× 6 0.5× 11 196
Peng-Hsuan Li 287 1.6× 32 0.8× 55 1.4× 23 1.2× 41 3.2× 7 309
Mianwei Zhou 268 1.5× 100 2.5× 22 0.6× 34 1.8× 15 1.2× 10 322
Eoin M. Kenny 218 1.2× 15 0.4× 18 0.5× 32 1.7× 3 0.2× 10 262
Kheir Eddine Farfar 119 0.7× 45 1.1× 42 1.1× 20 1.1× 39 3.0× 7 171
Lena Dankin 272 1.5× 89 2.2× 10 0.3× 12 0.6× 6 0.5× 13 306

Countries citing papers authored by Q. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Q. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Q. Liu

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