Fuzhang Wang

148 papers receiving 3.2k 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 143
  • Modeling and Simulation 338
  • Computational Mechanics 980
  • Biomedical Engineering 1.3k
  • Mechanical Engineering 1.0k
  • Oncology 567
Replace D. Ambrosi with:
D. Ambrosi Italy
D. L. S. McElwain Australia
Mark Alber United States
Giuseppe Failla Italy
Krishna Garikipati United States
Mark Fleming United States
Junseok Kim South Korea
Paolo Zunino Italy
Gul Zaman Pakistan
Vitaly Volpert France
Fuzhang Wang relative to D. Ambrosi Italy D. Ambrosi's profile →
Citations per field
00.5×3.7×
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 154 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 2001136
4 2001136
5 2001121
6 2009112
7 2003102
8 2022101
9 200896
10 202184
11 201084
12 202279
13 202163
14 202263
15 202258
16 202257
17 202256
18 202355
19 202351
20 202248

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 154 papers that have together received 3.3k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (45 papers), Numerical methods in engineering (28 papers), Fluid Dynamics and Turbulent Flows (26 papers), Heat Transfer Mechanisms (23 papers), Fractional Differential Equations Solutions (22 papers), Nonlinear Waves and Solitons (19 papers), Nonlinear Photonic Systems (13 papers) and Heat Transfer and Optimization (11 papers). The work is most often cited by research in Modeling and Simulation (338 citations), Computational Mechanics (980 citations), Biomedical Engineering (1.3k citations), Mechanical Engineering (1.0k citations) and Oncology (567 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, Mostafa M. A. Khater, Isaac Lare Animasaun and Jeffrey Vieira. Their work appears in journals such as Case Studies in Thermal Engineering, Fractals, Waves in Random and Complex Media, 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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