Qiurong Liu

607 citations
19 papers · 503 indexed · h-index 10
Topics
Software Engineering Research (5 papers)Software Reliability and Analysis Research (3 papers)Connexins and lens biology (3 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Qiurong Liu

18 papers receiving 494 citations

Peers

Qiurong Liu
Comparison fields: 5 of 70
  • Molecular Biology 265
  • Immunology 130
  • Information Systems 109
  • Software 66
  • Signal Processing 57
Replace M. Gee with:
M. Gee United States
Zahid Nawaz India
Orieta Celiku United States
Richard Melton United States
И. С. Киселев Russia
Jürgen Walter Germany
Christopher B. Ryder United States
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Kouhei Sakurai Japan
Qiurong Liu relative to M. Gee United States M. Gee's profile →
Citations per field
00.5×4.5×
M. Gee · 1×
Citations per year

Countries citing papers authored by Qiurong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Qiurong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiurong Liu

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 0
3 5
4 1
5 2
6 39
7 11
8 29
9 31
10
Application of Genetic Catastrophic Algorithm to Power Distribution System Reconfiguration
1
11 3
12 1
13 28
14 42
15 182
16 80
17 27
18
Progressive and regressive fate of lens tumors correlates with subtle differences in transgene expression in gamma F-crystallin-SV40 T antigen transgenic mice.
9
19 11

About Qiurong Liu

Qiurong Liu is a scholar working on Software, Energy Engineering and Power Technology and Information Systems, having authored 19 papers that have together received 503 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), Software Reliability and Analysis Research (3 papers) and Connexins and lens biology (3 papers). The work is most often cited by research in Software (66 citations), Immunology (130 citations) and Signal Processing (57 citations). Qiurong Liu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Daniel Dumont, Denis Bouchard, J. V. Jones, Hui Liu, Antonio J. Oliveira-dos-Santos, Sanjeev Mariathasan, I. Kozieradzki, Pamela S. Ohashi, Renu Sarao and Josef Penninger. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.

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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