Jin Fu

1.9k total citations · 1 hit paper
36 papers, 1.5k citations indexed

About

Jin Fu is a scholar working on Mechanical Engineering, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Jin Fu has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 11 papers in Computational Mechanics and 9 papers in Automotive Engineering. Recurrent topics in Jin Fu's work include Additive Manufacturing Materials and Processes (10 papers), Advanced Combustion Engine Technologies (9 papers) and Combustion and flame dynamics (9 papers). Jin Fu is often cited by papers focused on Additive Manufacturing Materials and Processes (10 papers), Advanced Combustion Engine Technologies (9 papers) and Combustion and flame dynamics (9 papers). Jin Fu collaborates with scholars based in China, Hong Kong and United Kingdom. Jin Fu's co-authors include M.W. Fu, Xu Song, Zuohua Huang, Heng Li, Junhao Ding, Shuo Qu, Chenglong Tang, Wu Jin, Yang Zhang and Qianqian Li and has published in prestigious journals such as The Journal of Chemical Physics, Bioinformatics and Journal of Computational Physics.

In The Last Decade

Jin Fu

32 papers receiving 1.5k citations

Hit Papers

Multi-scale defects in powder-based additively manufactur... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers

Jin Fu
Comparison fields: 5 of 89
  • Mechanical Engineering 761
  • Fluid Flow and Transfer Processes 472
  • Computational Mechanics 466
  • Automotive Engineering 411
  • Aerospace Engineering 340
Replace Jae‐Hyeong Seo with:
Jae‐Hyeong Seo South Korea
Ruel A. Overfelt United States
D. Arumuga Perumal India
Min‐Hsing Chang Taiwan
Jin Ho Song South Korea
Morteza Bayareh Iran
Andreas Mark Sweden
Wook Ryol Hwang South Korea
Yiwei Zhang China
Jae‐Hyeong Seo South Korea View profile →
Citations per field, relative to Jin Fu
Jin Fu · 1×
Citations per year, relative to Jin Fu
Jin Fu · 1×

Countries citing papers authored by Jin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Fu. A scholar is included among the top collaborators of Jin Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Fu. Jin Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 2
5 21
6 0
7 9
8 6
9 43
10 30
11
Multi-scale defects in powder-based additively manufactured metals and alloys breakdown →
265
12 112
13 95
14 97
15 2
16 6
17 4
18 7
19 13
20 7

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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