Xin Fu

3.4k citations
208 papers · 2.7k · h-index 27

Impact in

Papers in

Xin Fu

195 papers receiving 2.6k citations

Peers

Xin Fu
Comparison fields: 5 of 123
  • Biomedical Engineering 1.1k
  • Computational Mechanics 500
  • Mechanics of Materials 587
  • Mechanical Engineering 827
  • Ocean Engineering 239
Replace Bin Guo with:
Bin Guo China
Ping Guo China
Xiaojie Wang China
Ming Dong China
Shouqi Yuan China
Longqiu Li China
Bing Li China
Eric Brown United States
T.M.A. Maksoud United Kingdom
Wuliang Yin United Kingdom
Xin Fu relative to Bin Guo China Bin Guo's profile →
Citations per field
00.5×1.5×1.8×
Bin Guo · 1×
Citations per year

Countries citing papers authored by Xin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016165
2 2012107
3 200395
4 201374
5 201059
6 201258
7 201253
8 201745
9 200844
10 200742
11 201241
12 201041
13 201440
14 201439
15 200838
16 201438
17 201736
18 201534
19 201334
20 201833

About Xin Fu

Xin Fu is a scholar working on Biomedical Engineering, Mechanical Engineering, Mechanics of Materials, Electrical and Electronic Engineering and Computational Mechanics, having authored 208 papers that have together received 2.7k indexed citations. Recurring topics across this work include Flow Measurement and Analysis (27 papers), Hydraulic and Pneumatic Systems (26 papers), Fluid Dynamics and Heat Transfer (25 papers), Advanced Sensor and Energy Harvesting Materials (16 papers), Fluid Dynamics and Mixing (15 papers), Heat Transfer and Boiling Studies (15 papers), Cavitation Phenomena in Pumps (14 papers) and Advanced biosensing and bioanalysis techniques (12 papers). The work is most often cited by research in Biomedical Engineering (1.1k citations), Computational Mechanics (500 citations), Mechanics of Materials (587 citations), Mechanical Engineering (827 citations) and Ocean Engineering (239 citations). Xin Fu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Liang Hu, Weiting Liu, Xiaodong Ruan, Jun Zou, Ping Yu, Xiaoying Cheng, Haibo Xie, He Zhang, Cesare Stefanini and Paolo Dario. Their work appears in journals such as Flow Measurement and Instrumentation, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Physics of Fluids, Journal of Zhejiang University. Science A and IEEE Sensors Journal.

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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