Qinxue Tan

1.1k citations
22 papers · 975 · h-index 12

Impact in

Papers in

Qinxue Tan

22 papers receiving 953 citations

Peers

Qinxue Tan
Comparison fields: 5 of 69
  • Mechanical Engineering 660
  • Statistical and Nonlinear Physics 197
  • Biomedical Engineering 371
  • Electrical and Electronic Engineering 459
  • Nuclear Energy and Engineering 3
Replace Marcin Janicki with:
Marcin Janicki Poland
Stéphane Job France
H. Vocca Italy
Mengchun Pan China
Alireza Mojahed United States
Behrooz Yousefzadeh Canada
Timothy J. Healey United States
Caleb F. Sieck United States
Qin Lou China
Zachary G. Nicolaou United States
Qinxue Tan relative to Marcin Janicki Poland Marcin Janicki's profile →
Citations per field
00.5×
Marcin Janicki · 1×
Citations per year

Countries citing papers authored by Qinxue Tan

Since Specialization
Citations

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

Fields of papers citing papers by Qinxue Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qinxue Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qinxue Tan Line = papers co-authored together Qinxue Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986183
2 2018135
3 2019122
4 2019122
5 2018105
6 198775
7 202047
8 201843
9 202228
10 202125
11 201918
12 201916
13 202311
14 201911
15 20259
16 20099
17 20146
18 20234
19 20163
20
Preconditioning discontinuous Galerkin method for low Mach number flows
20151

About Qinxue Tan

Qinxue Tan is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Statistical and Nonlinear Physics and Civil and Structural Engineering, having authored 22 papers that have together received 975 indexed citations. Recurring topics across this work include Innovative Energy Harvesting Technologies (15 papers), Energy Harvesting in Wireless Networks (14 papers), Wireless Power Transfer Systems (7 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Refrigeration and Air Conditioning Technologies (2 papers), Quantum chaos and dynamical systems (2 papers), Vibration Control and Rheological Fluids (2 papers) and Turbomachinery Performance and Optimization (2 papers). The work is most often cited by research in Mechanical Engineering (660 citations), Statistical and Nonlinear Physics (197 citations), Biomedical Engineering (371 citations), Electrical and Electronic Engineering (459 citations) and Nuclear Energy and Engineering (3 citations). Qinxue Tan has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Kangqi Fan, Meiling Cai, M. Tabor, J. Chaiken, Haiyan Liu, Yiwei Zhang, R. Chevray, Yingmin Zhu, Yiwei Zhang and Shaohua Liu. Their work appears in journals such as Smart Materials and Structures, Energy, Renewable Energy, Energy Conversion and Management and Journal of Intelligent Material Systems and Structures.

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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