Feng Wang

206 papers receiving 3.2k citations

Peers

Feng Wang
Comparison fields: 5 of 110
  • Computational Mathematics 86
  • Biomaterials 957
  • Mechanical Engineering 1.7k
  • Aerospace Engineering 1.1k
  • Materials Chemistry 1.3k
Replace Alexander D. Pogrebnjak with:
Alexander D. Pogrebnjak Ukraine
Gianni Barucca Italy
Lyle E. Levine United States
Jaroslaw Knap United States
David J. Browne Ireland
Ting Wu China
Toshio Ogawa Japan
E. Bonetti Italy
Ursula R. Kattner United States
A. K. Srivastava India
Feng Wang relative to Alexander D. Pogrebnjak Ukraine Alexander D. Pogrebnjak's profile →
Citations per field
00.5×2×4×5.2×
Alexander D. Pogrebnjak · 1×
Citations per year

Countries citing papers authored by Feng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 217 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004175
2 2017116
3 2019108
4 201384
5 201572
6 201367
7 201964
8 200463
9 201462
10 200756
11 201947
12 200546
13 200344
14 201444
15 200843
16 202042
17 202242
18 202242
19 201942
20 201942

About Feng Wang

Feng Wang is a scholar working on Biomaterials, Mechanical Engineering, Aerospace Engineering, Materials Chemistry and Numerical Analysis, having authored 217 papers that have together received 3.2k indexed citations. Recurring topics across this work include Aluminum Alloys Composites Properties (118 papers), Aluminum Alloy Microstructure Properties (93 papers), Magnesium Alloys: Properties and Applications (84 papers), Microstructure and mechanical properties (32 papers), Metal and Thin Film Mechanics (16 papers), Matrix Theory and Algorithms (12 papers), Nonlinear Differential Equations Analysis (11 papers) and Advanced Optimization Algorithms Research (11 papers). The work is most often cited by research in Computational Mathematics (86 citations), Biomaterials (957 citations), Mechanical Engineering (1.7k citations), Aerospace Engineering (1.1k citations) and Materials Chemistry (1.3k citations). Feng Wang has collaborated with scholars based in China, Ukraine and Poland. Frequent co-authors include Pingli Mao, Zhi Wang, Le Zhou, Zheng Liu, Hongwei Liu, Baiqing Xiong, Musen Li, Yong‐Xin Qi, Yongan Zhang and Bo-chen Li. Their work appears in journals such as International Journal of Metalcasting, Journal of Alloys and Compounds, Materials Science and Engineering A, Materials Science and Technology and Transactions of Nonferrous Metals Society of China.

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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