Xiaowei Fu

132 papers receiving 2.1k citations

Xiaowei Fu's Hit Papers

Effect of particle shape and size on flow properties of lactose powders 2012 · 319 citations
3190+4+9Years since publication100200300

Peers

Xiaowei Fu
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 381
  • Pharmaceutical Science 113
  • Energy Engineering and Power Technology 49
  • Control and Systems Engineering 361
  • Aerospace Engineering 371
Replace Guo Chen with:
Guo Chen China
Martin Horn Austria
Tianyang Wang China
Fang Liu China
Jiayue Sun China
Sai Li China
Chi Ma China
Junil Choi South Korea
Mohammad Mohammadi Iran
Ayodeji Olalekan Salau Nigeria
Xiaowei Fu relative to Guo Chen China Guo Chen's profile →
Citations per field
00.5×7.3×
Guo Chen · 1×
Citations per year

Countries citing papers authored by Xiaowei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effect of particle shape and size on flow properties of lactose powders
Hit paper breakdown →
2012319
2 2013174
3 2020101
4 200685
5 201962
6 200861
7 202249
8 200345
9 201945
10 200342
11 202141
12 200640
13 201834
14 200333
15 202232
16 202132
17 201032
18 201232
19 201831
20 202029

About Xiaowei Fu

Xiaowei Fu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, Computer Networks and Communications and Materials Chemistry, having authored 142 papers that have together received 2.1k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (23 papers), Robotic Path Planning Algorithms (22 papers), Fuel Cells and Related Materials (22 papers), UAV Applications and Optimization (21 papers), Advancements in Solid Oxide Fuel Cells (16 papers), Guidance and Control Systems (11 papers), Fault Detection and Control Systems (10 papers) and Image Processing Techniques and Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (381 citations), Pharmaceutical Science (113 citations), Energy Engineering and Power Technology (49 citations), Control and Systems Engineering (361 citations) and Aerospace Engineering (371 citations). Xiaowei Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaoguang Gao, Yaoqin Jia, Brian Armstrong, Tim Freeman, Zhonghua Deng, Xi Li, Jianhua Jiang, Yuanwu Xu, Dongqi Zhao and Xiaolong Wu. Their work appears in journals such as Journal of Power Sources, Applied Energy, Energies, Frontiers in Immunology and International Journal of Hydrogen Energy.

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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