Wansheng Wang

7.3k citations
199 papers · 5.9k indexed · h-index 37

Impact in

Papers in

Wansheng Wang

187 papers receiving 5.7k citations

Peers

Wansheng Wang
Comparison fields: 5 of 155
  • Numerical Analysis 784
  • Modeling and Simulation 438
  • Nephrology 664
  • Condensed Matter Physics 839
  • Renewable Energy, Sustainability and the Environment 714
Replace Takao Ohta with:
Takao Ohta Japan
Hiroshi Yamashita Japan
Guido Germano United States
Hongyong Wang China
Alan E. Berger United States
Brian J. Kirby United States
Chunyu Zhang China
Koichi Matsumoto Japan
Shaohong Wang China
Bengt Lindberg Sweden
Wansheng Wang relative to Takao Ohta Japan Takao Ohta's profile →
Citations per field
00.5×10×15×20×23.1×
Takao Ohta · 1×
Citations per year

Countries citing papers authored by Wansheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wansheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wansheng Wang, 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 Wansheng Wang Line = papers co-authored together Wansheng Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
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5 20241
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11 20231
12 20222
13 20220
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15 20180
16 201367
17
BiS 2 ベース超伝導体の三重ペアリングと可能性のある弱いトポロジカル超伝導性
20134
18 200911
19 20072
20 2006205

About Wansheng Wang

Wansheng Wang is a scholar working on Numerical Analysis, Modeling and Simulation, Hepatology, Condensed Matter Physics and Computational Mechanics, having authored 199 papers that have together received 5.9k indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (64 papers), Numerical methods for differential equations (60 papers), Advanced Numerical Methods in Computational Mathematics (27 papers), Fractional Differential Equations Solutions (25 papers), Physics of Superconductivity and Magnetism (21 papers), Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Iron-based superconductors research (14 papers) and Advanced Condensed Matter Physics (13 papers). The work is most often cited by research in Numerical Analysis (784 citations), Modeling and Simulation (438 citations), Nephrology (664 citations), Condensed Matter Physics (839 citations) and Renewable Energy, Sustainability and the Environment (714 citations). Wansheng Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hui Y. Lan, Xiao Ru Huang, Qiang-Hua Wang, Shoufu Li, An‐Wu Xu, Vijay Koka, Yuanyuan Xiang, Luan D. Truong, Jinhua Li and Liping Wen. Their work appears in journals such as Physical Review B, Physical review. B., Journal of Computational and Applied Mathematics, Applied Mathematics and Computation and Applied Numerical Mathematics.

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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