Xiaowei Fu
Impact in
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- Robotic Path Planning Algorithms
- Pharmaceutical Science top 5%
Papers in
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- Robotic Path Planning Algorithms 25
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- Fuel Cells and Related Materials 23
- Co-authors
- Xiaoguang Gao (16 shared papers)Yaoqin Jia (1 shared paper)Tim Freeman (2 shared papers)Brian Armstrong (1 shared paper)Xi Li (26 shared papers)Zhonghua Deng (19 shared papers)Jianhua Jiang (12 shared papers)Yuanwu Xu (15 shared papers)
- Journals
- Applied Energy (5 papers)Journal of Power Sources (5 papers)Applied Intelligence (3 papers)Energies (3 papers)Optical Engineering (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaowei Fu
139 papers receiving 2.3k citations
Xiaowei Fu's Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Vision and Pattern Recognition 432
- Pharmaceutical Science 116
- Energy Engineering and Power Technology 53
- Control and Systems Engineering 378
- Aerospace Engineering 398
Countries citing papers authored by Xiaowei Fu
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
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.
All Works
Showing the 20 most-cited of 151 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 → | 2012 | 328 |
| 2 | 2013 | 178 | |
| 3 | 2020 | 117 | |
| 4 | 2006 | 85 | |
| 5 | 2019 | 66 | |
| 6 | 2008 | 65 | |
| 7 | 2022 | 54 | |
| 8 | 2003 | 50 | |
| 9 | 2019 | 48 | |
| 10 | 2021 | 44 | |
| 11 | 2003 | 42 | |
| 12 | 2022 | 40 | |
| 13 | 2006 | 40 | |
| 14 | 2021 | 36 | |
| 15 | 2003 | 36 | |
| 16 | 2018 | 34 | |
| 17 | 2010 | 33 | |
| 18 | 2012 | 33 | |
| 19 | 2018 | 33 | |
| 20 | 2009 | 32 |
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 151 papers that have together received 2.4k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (25 papers), Distributed Control Multi-Agent Systems (23 papers), Fuel Cells and Related Materials (23 papers), UAV Applications and Optimization (21 papers), Advancements in Solid Oxide Fuel Cells (16 papers), Guidance and Control Systems (11 papers), Image Processing Techniques and Applications (10 papers) and Fault Detection and Control Systems (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (432 citations), Pharmaceutical Science (116 citations), Energy Engineering and Power Technology (53 citations), Control and Systems Engineering (378 citations) and Aerospace Engineering (398 citations). Xiaowei Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaoguang Gao, Yaoqin Jia, Tim Freeman, Brian Armstrong, Xi Li, Zhonghua Deng, Jianhua Jiang, Yuanwu Xu, Dongqi Zhao and Jing Pan. Their work appears in journals such as Applied Energy, Journal of Power Sources, Applied Intelligence, Energies and Optical Engineering.
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.