Q. Liu

1.1k citations
11 papers · 237 indexed · 1 hit paper · h-index 3
Topics
Maritime Navigation and Safety (4 papers)Handwritten Text Recognition Techniques (2 papers)Advanced Image and Video Retrieval Techniques (2 papers)
Partner nations
ChinaSingaporeAustralia

In The Last Decade

Q. Liu

8 papers receiving 232 citations

Hit Papers

Unified Structure Generation for Universal Information Ex...2022202620232024202250100150200

Peers

Q. Liu
Comparison fields: 5 of 50
  • Artificial Intelligence 188
  • Information Systems 42
  • Management Science and Operations Research 39
  • Computer Vision and Pattern Recognition 20
  • Ocean Engineering 15
Replace Minh-Tien Nguyen with:
Minh-Tien Nguyen Vietnam
Peng-Hsuan Li Taiwan
Jingyun Xu China
Kheir Eddine Farfar Germany
Zhepei Wei China
Frode Sørmo Norway
Runxin Xu China
Gourab Kundu United States
Guang Chen China
Francesco Piccinno Italy
Q. Liu relative to Minh-Tien Nguyen Vietnam Minh-Tien Nguyen's profile →
Citations per field
00.5×7.5×
Minh-Tien Nguyen · 1×
Citations per year

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

11 of 11 papers shown
#WorkIndexed citations
1 0
2 0
3 8
4 1
5 1
6 1
7 9
8 0
9
Unified Structure Generation for Universal Information Extractionbreakdown →
215
10 1
11 1

About Q. Liu

Q. Liu is a scholar working on Ocean Engineering, Statistics, Probability and Uncertainty and Radiological and Ultrasound Technology, having authored 11 papers that have together received 237 indexed citations. Recurring topics across this work include Maritime Navigation and Safety (4 papers), Handwritten Text Recognition Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (188 citations), Management Science and Operations Research (39 citations) and Information Systems (42 citations). Q. Liu has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Hongyu Lin, Xinyan Xiao, Le Sun, Hua Wu, Yaojie Lu, Xianpei Han, Chew Lim Tan, Liping Zhang, Guanjun Wang and Mingshuang Li. Their work appears in journals such as Safety Science, Applied Sciences and Ocean Engineering.

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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