Bing Fu

436 citations
30 papers · 348 · h-index 10

Impact in

Papers in

Bing Fu

27 papers receiving 342 citations

Peers

Bing Fu
Comparison fields: 5 of 36
  • Metals and Alloys 34
  • Mechanical Engineering 215
  • Automotive Engineering 52
  • Mechanics of Materials 83
  • Materials Chemistry 113
Replace Ryo MORITA with:
Ryo MORITA Japan
W.H. Zhang China
Thorsten Bartel Germany
Seok-Jin Kwon South Korea
Caifu Qian China
Paolo Matteis Italy
Ali Haghshenas United States
J. Adamczyk Poland
C.H. Lee South Korea
Bing Fu relative to Ryo MORITA Japan Ryo MORITA's profile →
Citations per field
00.5×
Ryo MORITA · 1×
Citations per year

Countries citing papers authored by Bing Fu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202081
2 201459
3 201232
4 201820
5 201620
6 201818
7 201418
8 201916
9 202311
10
An overview of advanced methods for the assessment of corrosion in linepipe
199910
11 20248
12 20248
13 20167
14 20156
15 20196
16 20174
17 20224
18 20223
19 20233
20 20183

About Bing Fu

Bing Fu is a scholar working on Mechanical Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials, Automotive Engineering and Mechanics of Materials, having authored 30 papers that have together received 348 indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (10 papers), Magnetic Properties and Applications (10 papers), Electric and Hybrid Vehicle Technologies (7 papers), Metal Alloys Wear and Properties (6 papers), Metallurgy and Material Forming (4 papers), Electric Vehicles and Infrastructure (4 papers), Advanced Battery Technologies Research (3 papers) and Vehicle emissions and performance (3 papers). The work is most often cited by research in Metals and Alloys (34 citations), Mechanical Engineering (215 citations), Automotive Engineering (52 citations), Mechanics of Materials (83 citations) and Materials Chemistry (113 citations). Bing Fu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhan Sun, Zhenyu Wang, Bingqing Li, Yandong Wang, Xiaolan Hu, Qiang Feng, Zhihui Sun, Weixu Yang, Shengtao Qiu and Jingang Liu. Their work appears in journals such as Journal of Iron and Steel Research International, Materials Science and Engineering A, Mechanism and Machine Theory, Materials and Metals.

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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