Jun Fu

1.5k citations
79 papers · 1.1k indexed · 1 hit paper · h-index 16

Impact in

Papers in

Jun Fu

70 papers receiving 1.0k citations

Hit Papers

Recent Advancements in Agriculture Robots: Benefits and Challenges 2023 · 83 citations
832023202620242025255075

Peers

Jun Fu
Comparison fields: 5 of 130
  • Computational Mechanics 391
  • Mechanical Engineering 462
  • Civil and Structural Engineering 219
  • Ocean Engineering 105
  • Plant Science 192
Replace Xiaoping Ren with:
Xiaoping Ren China
J.F. Favier United Kingdom
Lizhang Xu China
Huakun Wang China
Tao Cui China
Mark E. Casada United States
Jianjun Zhu China
Harish Kumar Ghritlahre India
Greg Schoenau Canada
C. E. Goering United States
Jun Fu relative to Xiaoping Ren China Xiaoping Ren's profile →
Citations per field
00.5×2.8×
Xiaoping Ren · 1×
Citations per year

Countries citing papers authored by Jun Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Fu Line = papers co-authored together Jun Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002129
2 2005128
3
Recent Advancements in Agriculture Robots: Benefits and Challenges
Hit paper breakdown →
202383
4 200476
5 200376
6 201868
7 202135
8 202134
9 202027
10 202022
11 202221
12 201919
13 202218
14 202118
15 202117
16 201717
17 200615
18 202114
19 202114
20 202013

About Jun Fu

Jun Fu is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Computational Mechanics, Analytical Chemistry and Equine, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Soil Mechanics and Vehicle Dynamics (23 papers), Agricultural Engineering and Mechanization (23 papers), Mineral Processing and Grinding (11 papers), Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (8 papers), Granular flow and fluidized beds (8 papers), Sparse and Compressive Sensing Techniques (7 papers) and Tree Root and Stability Studies (5 papers). The work is most often cited by research in Computational Mechanics (391 citations), Mechanical Engineering (462 citations), Civil and Structural Engineering (219 citations), Ocean Engineering (105 citations) and Plant Science (192 citations). Jun Fu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Agba D. Salman, Michael J. Hounslow, Luquan Ren, Gavin Reynolds, Zhi Chen, Y.S. Cheong, Catherine A. Biggs, Márton Szabó, Hang Su and Lujia Han. Their work appears in journals such as Computers and Electronics in Agriculture, International journal of agricultural and biological engineering, Powder Technology, Frontiers in Plant Science 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.

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