Fuzhang Wang

150 papers receiving 3.3k citations

Fuzhang Wang's Hit Papers

NUMERICAL SOLUTION OF TRAVELING WAVES IN CHEMICAL KINETICS: TIME-FRACTIONAL FISHERS EQUATIONS 2021 · 206 citations
2060+1+3Years since publication50100150200

Peers

Fuzhang Wang
Comparison fields: 5 of 145
  • Modeling and Simulation 343
  • Computational Mechanics 1.1k
  • Biomedical Engineering 1.4k
  • Mechanical Engineering 1.1k
  • Numerical Analysis 128
Replace D. Ambrosi with:
D. Ambrosi Italy
Giuseppe Failla Italy
D. L. S. McElwain Australia
Krishna Garikipati United States
Mark Alber United States
Junseok Kim South Korea
M. Nawaz Pakistan
Paolo Zunino Italy
Gul Zaman Pakistan
Mark Fleming United States
Fuzhang Wang relative to D. Ambrosi Italy D. Ambrosi's profile →
Citations per field
00.5×4.0×
D. Ambrosi · 1×
Citations per year

Countries citing papers authored by Fuzhang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fuzhang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NUMERICAL SOLUTION OF TRAVELING WAVES IN CHEMICAL KINETICS: TIME-FRACTIONAL FISHERS EQUATIONS
Hit paper breakdown →
2021206
2 2003157
3 2001135
4 2001134
5 2001121
6 2009112
7 2003102
8 2022100
9 200893
10 201083
11 202181
12 202177
13 202277
14 202162
15 202261
16 202258
17 202256
18 202255
19 202353
20 202347

About Fuzhang Wang

Fuzhang Wang is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Mechanics of Materials and Modeling and Simulation, having authored 157 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (49 papers), Fluid Dynamics and Turbulent Flows (28 papers), Numerical methods in engineering (26 papers), Heat Transfer Mechanisms (25 papers), Fractional Differential Equations Solutions (22 papers), Nonlinear Waves and Solitons (19 papers), Nonlinear Photonic Systems (13 papers) and Heat Transfer and Optimization (13 papers). The work is most often cited by research in Modeling and Simulation (343 citations), Computational Mechanics (1.1k citations), Biomedical Engineering (1.4k citations), Mechanical Engineering (1.1k citations) and Numerical Analysis (128 citations). Fuzhang Wang has collaborated with scholars based in China, Saudi Arabia and Pakistan. Frequent co-authors include Bala Chandran, Shaw M. Akula, Hijaz Ahmad, Imtiaz Ahmad, W. Chen, Wen Chen, Ling Zeng, Jeffrey Vieira, Yu‐Ming Chu and Neelam Sharma-Walia. Their work appears in journals such as Waves in Random and Complex Media, Fractals, Case Studies in Thermal Engineering, Computer Modeling in Engineering & Sciences and Journal of Virology.

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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