Guangxue Wang

1.6k citations
98 papers · 1.2k indexed · h-index 19
Topics
Computational Fluid Dynamics and Aerodynamics (23 papers)Fluid Dynamics and Turbulent Flows (20 papers)Cancer-related molecular mechanisms research (10 papers)

In The Last Decade

Guangxue Wang

87 papers receiving 1.2k citations

Peers

Guangxue Wang
Comparison fields: 5 of 121
  • Molecular Biology 500
  • Cancer Research 338
  • Computational Mechanics 203
  • Pulmonary and Respiratory Medicine 200
  • Biomedical Engineering 140
Replace Michael J. Wilson with:
Michael J. Wilson United Kingdom
Bahram Parvin United States
Zhongyan Liu China
Long Chen China
Shaobing Chen China
Yu Zhu China
Tariq Aziz Canada
Xiaolong He China
Jonathan Whiteley United Kingdom
Seiji Tsutsumi Japan
Guangxue Wang relative to Michael J. Wilson United Kingdom Michael J. Wilson's profile →
Citations per field
00.5×2.9×
Michael J. Wilson · 1×
Citations per year

Countries citing papers authored by Guangxue Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangxue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxue Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guangxue Wang. A scholar is included among the top collaborators of Guangxue Wang 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 Guangxue Wang. Guangxue Wang 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
#WorkIndexed citations
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2 0
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8 1
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11 0
12 20
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15 18
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A new SAR image change detection algorithm based on texture feature
3
18
Specific emitter features extraction based on bispectrum and Walsh transform
5
19
Development and Veritification of TRIP 2.0 Software
0
20 28

About Guangxue Wang

Guangxue Wang is a scholar working on Computational Mechanics, Aerospace Engineering and Cancer Research, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (23 papers), Fluid Dynamics and Turbulent Flows (20 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Cancer Research (338 citations), Computational Mechanics (203 citations) and Molecular Biology (500 citations). Guangxue Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiaogang Deng, Zuoren Yu, Jinhui Lü, Qinchuan Li, Qian Zhao, Lixiao Zhen, William C. Cho, Shengqiong Deng, Lin Dong and Chuyi Zhang. Their work appears in journals such as Nature Communications, Journal of Computational Physics and Small.

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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