Junqiang Liu

1.5k total citations
44 papers, 858 citations indexed

About

Junqiang Liu is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Junqiang Liu has authored 44 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 19 papers in Information Systems and 10 papers in Computational Theory and Mathematics. Recurrent topics in Junqiang Liu's work include Data Mining Algorithms and Applications (12 papers), Rough Sets and Fuzzy Logic (10 papers) and Data Management and Algorithms (6 papers). Junqiang Liu is often cited by papers focused on Data Mining Algorithms and Applications (12 papers), Rough Sets and Fuzzy Logic (10 papers) and Data Management and Algorithms (6 papers). Junqiang Liu collaborates with scholars based in China, Canada and United States. Junqiang Liu's co-authors include Benjamin C. M. Fung, Ke Wang, Steven H. H. Ding, Yunhe Pan, Ke Wang, Jiawei Han, Ke Wang, Yunong Huang, Xingxing Zhang and Farkhund Iqbal and has published in prestigious journals such as PLoS ONE, Social Science & Medicine and Expert Systems with Applications.

In The Last Decade

Junqiang Liu

41 papers receiving 807 citations

Peers

Junqiang Liu
Comparison fields: 5 of 88
  • Information Systems 563
  • Artificial Intelligence 416
  • Computational Theory and Mathematics 306
  • Sociology and Political Science 213
  • Signal Processing 191
Jonas Poelmans Belgium
James Geller United States
Sagar Jain United States
Javed Mostafa United States
Álvaro Tejeda-Lorente Spain
John G. Hughes United Kingdom
David Pym United Kingdom
Acar Tamersoy United States
Youze Tang Singapore
Nazli Goharian United States
Jonas Poelmans Belgium View profile →
Citations per field, relative to Junqiang Liu
Junqiang Liu · 1×
Citations per year, relative to Junqiang Liu
Junqiang Liu · 1×

Countries citing papers authored by Junqiang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junqiang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junqiang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Junqiang Liu. A scholar is included among the top collaborators of Junqiang 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 Junqiang Liu. Junqiang 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 0
3 3
4 10
5 7
6 12
7 159
8 2
9 14
10 13
11 81
12 3
13 5
14 10
15
Information quality maturity model
1
16
Ontology Based Approach of Semantic Information Integration
1
17 1
18
Definition and analysis of information quality based on information structural essentials
3
19 1
20 122

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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