Chen Fu

452 citations
45 papers · 325 · h-index 10

Impact in

Papers in

Chen Fu

36 papers receiving 313 citations

Peers

Chen Fu
Comparison fields: 5 of 61
  • Fluid Flow and Transfer Processes 52
  • Computational Mechanics 104
  • Computer Vision and Pattern Recognition 74
  • Safety, Risk, Reliability and Quality 29
  • Media Technology 25
Replace Huizhen Li with:
Huizhen Li China
Patrick Baker United States
Balázs Tóth Hungary
Hua Jiang China
Liang He China
Bertrand Lecordier France
Wenjiang Xu United States
Ran Wei China
Yingchun Wu China
Chen Fu relative to Huizhen Li China Huizhen Li's profile →
Citations per field
00.5×10×13×
Huizhen Li · 1×
Citations per year

Countries citing papers authored by Chen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201357
3 202020
4 202119
5 201517
6
Rapid separation of Lu-Hf and Sm-Nd from a single rock dissolution and precise measurement of Hf-Nd isotopic ratios for national rock standards
200716
7 201914
8 201614
9 201913
10 202011
11 20199
12 20169
13 20168
14 20218
15 20238
16 20206
17 20165
18 20244
19 20233
20
Spatiotemporal variation and regional advantages of foxtail millet production in recent 30 years in China.
20193

About Chen Fu

Chen Fu is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Fluid Flow and Transfer Processes, Aerospace Engineering and Signal Processing, having authored 45 papers that have together received 325 indexed citations. Recurring topics across this work include Combustion and flame dynamics (12 papers), Advanced Combustion Engine Technologies (9 papers), Video Coding and Compression Technologies (5 papers), Advanced Image Processing Techniques (5 papers), Advanced Vision and Imaging (4 papers), Fire dynamics and safety research (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (52 citations), Computational Mechanics (104 citations), Computer Vision and Pattern Recognition (74 citations), Safety, Risk, Reliability and Quality (29 citations) and Media Technology (25 citations). Chen Fu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yi Gao, Shen Qu, Z.F. Zhang, Jianfu Zhang, Liqing Zhang, Yan Hong, Li Niu, Weijie Zhao, Gonzalo R. Arce and Xiaoyuan Yang. Their work appears in journals such as Applied Optics, Combustion and Flame, Proceedings of the Combustion Institute, IEEE Transactions on Computational Imaging and Engineering Failure Analysis.

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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