Qin Liao

1.4k total citations
70 papers, 997 citations indexed

About

Qin Liao is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Qin Liao has authored 70 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 35 papers in Atomic and Molecular Physics, and Optics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Qin Liao's work include Quantum Information and Cryptography (46 papers), Quantum Computing Algorithms and Architecture (38 papers) and Quantum Mechanics and Applications (21 papers). Qin Liao is often cited by papers focused on Quantum Information and Cryptography (46 papers), Quantum Computing Algorithms and Architecture (38 papers) and Quantum Mechanics and Applications (21 papers). Qin Liao collaborates with scholars based in China, Singapore and Hong Kong. Qin Liao's co-authors include Ying Guo, Duan Huang, Hai Zhong, Guihua Zeng, Wei Ye, Peng Huang, Haijie Liu, Yijun Wang, Gang Xiao and Zhonghua Tang and has published in prestigious journals such as Optics Express, IEEE Transactions on Communications and Energy Economics.

In The Last Decade

Qin Liao

65 papers receiving 909 citations

Peers

Qin Liao
Comparison fields: 5 of 88
  • Artificial Intelligence 836
  • Atomic and Molecular Physics, and Optics 618
  • Electrical and Electronic Engineering 103
  • Computational Theory and Mathematics 65
  • Computer Networks and Communications 65
Replace Kejia Zhang with:
Kejia Zhang China
Wenping Ma China
Ruijin Wang China
Robert Salzmann United Kingdom
Pramode K. Verma United States
Peng Peng China
Florian W. Beil Germany
Yongmei Sun China
Zebo Yang United States
Saket Srivastava United Kingdom
Kejia Zhang China View profile →
Citations per field, relative to Qin Liao
Qin Liao · 1×
Citations per year, relative to Qin Liao
Qin Liao · 1×

Countries citing papers authored by Qin Liao

Since Specialization
Citations

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

Fields of papers citing papers by Qin Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Liao. A scholar is included among the top collaborators of Qin Liao 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 Qin Liao. Qin Liao 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 4
2 1
3 0
4 22
5 5
6 19
7 2
8 5
9 5
10 3
11 8
12 2
13 12
14 27
15 10
16 1
17 15
18
Study on the extraction technology of gallic acid from Penthorum chinense by orthogonal-test method
1
19
A New Class Based Associative Classification Algorithm
25
20
The Effective Clustering Partition Algorithm Based on the Genetic Evolution
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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