Qing Liu

2.3k total citations
121 papers, 1.4k citations indexed

About

Qing Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qing Liu has authored 121 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qing Liu's work include Retinal Imaging and Analysis (15 papers), Rough Sets and Fuzzy Logic (10 papers) and Advanced Neural Network Applications (10 papers). Qing Liu is often cited by papers focused on Retinal Imaging and Analysis (15 papers), Rough Sets and Fuzzy Logic (10 papers) and Advanced Neural Network Applications (10 papers). Qing Liu collaborates with scholars based in China, Finland and United States. Qing Liu's co-authors include Yide Ma, Beiji Zou, Zailiang Chen, Anfeng Liu, Yixiong Liang, Kejuan Yue, Guoying Zhao, Wei Ke, C. Guedes Soares and Dehai Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Small.

In The Last Decade

Qing Liu

112 papers receiving 1.3k citations

Peers

Qing Liu
Comparison fields: 5 of 131
  • Computer Vision and Pattern Recognition 481
  • Radiology, Nuclear Medicine and Imaging 348
  • Artificial Intelligence 303
  • Ophthalmology 196
  • Media Technology 148
Replace Guangmin Sun with:
Guangmin Sun China
Tehmina Khalil Pakistan
Moulay A. Akhloufi Canada
Michał Grochowski Poland
Jules‐Raymond Tapamo South Africa
Bin Sheng China
Yan Pei Japan
Guoliang Fan United States
Naoufel Werghi United Arab Emirates
Kamesh Namuduri United States
Guangmin Sun China View profile →
Citations per field, relative to Qing Liu
Qing Liu · 1×
Citations per year, relative to Qing Liu
Qing Liu · 1×

Countries citing papers authored by Qing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Qing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Liu. A scholar is included among the top collaborators of Qing 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 Qing Liu. Qing Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 7
4 1
5 23
6 4
7 1
8 2
9 17
10 2
11 3
12 27
13
Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems.
7
14 10
15 22
16 1
17
Algebra properties and fuzzy entropy of Vague sets
1
18
Data fragment algorithm based on granular computing
1
19 187
20
EXTRACTINGRA METHODS OF ASSOCIATED RULES BASED ON GRANULAR BINARY OPERATIONS
2

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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