Jun Fu
Impact in
- Mechanical Engineering top 5%
- Agricultural Engineering and Mechanization
- Mineral Processing and Grinding
- Computational Mechanics top 5%
- Granular flow and fluidized beds
- Sparse and Compressive Sensing Techniques
Papers in
-
- Agricultural Engineering and Mechanization 35
-
- Sparse and Compressive Sensing Techniques 5
- Granular flow and fluidized beds 4
- Co-authors
- Luquan Ren (28 shared papers)Michael J. Hounslow (2 shared papers)Agba D. Salman (2 shared papers)Zhi Chen (7 shared papers)Hang Su (1 shared paper)Lujia Han (2 shared papers)D. A. Gorham (1 shared paper)Michael Adams (1 shared paper)
- Journals
- Computers and Electronics in Agriculture (8 papers)International journal of agricultural and biological engineering (6 papers)Biosystems Engineering (5 papers)Powder Technology (4 papers)Applied Sciences (4 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Jun Fu
71 papers receiving 942 citations
Jun Fu's Hit Papers
Peers
Comparison fields: 5 of 80
- Mechanical Engineering 349
- Computational Mechanics 174
- Computational Mathematics 4
- Plant Science 181
- Civil and Structural Engineering 67
Countries citing papers authored by Jun Fu
This map shows the geographic impact of Jun 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 Jun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fu more than expected).
Fields of papers citing papers by Jun Fu
This network shows the impact of papers produced by Jun 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 Jun Fu. The network helps show where Jun Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recent Advancements in Agriculture Robots: Benefits and Challenges Hit paper breakdown → | 2023 | 121 |
| 2 | 2004 | 79 | |
| 3 | 2003 | 78 | |
| 4 | 2018 | 78 | |
| 5 | 2021 | 41 | |
| 6 | 2021 | 39 | |
| 7 | 2020 | 28 | |
| 8 | 2022 | 28 | |
| 9 | 2020 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 2022 | 24 | |
| 12 | 2019 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2006 | 17 | |
| 16 | 2017 | 17 | |
| 17 | 2020 | 15 | |
| 18 | 2021 | 15 | |
| 19 | 2023 | 15 | |
| 20 | 2024 | 14 |
About Jun Fu
Jun Fu is a scholar working on Mechanical Engineering, Computational Mechanics, Plant Science, Civil and Structural Engineering and Biomedical Engineering, having authored 77 papers that have together received 964 indexed citations. Recurring topics across this work include Agricultural Engineering and Mechanization (35 papers), Smart Agriculture and AI (11 papers), Soil Mechanics and Vehicle Dynamics (5 papers), Sparse and Compressive Sensing Techniques (5 papers), Granular flow and fluidized beds (4 papers), Image and Signal Denoising Methods (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Remote-Sensing Image Classification (2 papers). The work is most often cited by research in Mechanical Engineering (349 citations), Computational Mechanics (174 citations), Computational Mathematics (4 citations), Plant Science (181 citations) and Civil and Structural Engineering (67 citations). Jun Fu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Luquan Ren, Michael J. Hounslow, Agba D. Salman, Zhi Chen, Hang Su, Lujia Han, D. A. Gorham, Michael Adams, Gavin Reynolds and Tobi Fadiji. Their work appears in journals such as Computers and Electronics in Agriculture, International journal of agricultural and biological engineering, Biosystems Engineering, Powder Technology and Applied Sciences.
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.