Jun Fu

1.6k citations
79 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Jun Fu

72 papers receiving 1.1k citations

Jun Fu's Hit Papers

Recent Advancements in Agriculture Robots: Benefits and Challenges 2023 · 91 citations
910+1+2Years since publication255075

Peers

Jun Fu
Comparison fields: 5 of 131
  • Computational Mechanics 392
  • Mechanical Engineering 466
  • Civil and Structural Engineering 221
  • Ocean Engineering 105
  • Plant Science 209
Replace Lizhang Xu with:
Lizhang Xu China
J.F. Favier United Kingdom
Tao Cui China
Huakun Wang China
Mark E. Casada United States
Jianjun Zhu China
Harish Kumar Ghritlahre India
Greg Schoenau Canada
Yibo Li China
Adolfo Senatore Italy
Jun Fu relative to Lizhang Xu China Lizhang Xu's profile →
Citations per field
00.5×1.5×
Lizhang Xu · 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 2002130
2 2005128
3
Recent Advancements in Agriculture Robots: Benefits and Challenges
Hit paper breakdown →
202391
4 200476
5 200376
6 201870
7 202137
8 202137
9 202028
10 202023
11 202222
12 202221
13 201919
14 202118
15 201717
16 202117
17 200615
18 202115
19 202115
20 202014

About Jun Fu

Jun Fu is a scholar working on Mechanical Engineering, Civil and Structural Engineering, Computational Mechanics, Plant Science and Biomedical Engineering, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Agricultural Engineering and Mechanization (23 papers), Soil Mechanics and Vehicle Dynamics (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 (392 citations), Mechanical Engineering (466 citations), Civil and Structural Engineering (221 citations), Ocean Engineering (105 citations) and Plant Science (209 citations). Jun Fu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Michael J. Hounslow, Agba D. Salman, Luquan Ren, Gavin Reynolds, Zhi Chen, Y.S. Cheong, Hang Su, Catherine A. Biggs, Márton Szabó and Lujia Han. Their work appears in journals such as Computers and Electronics in Agriculture, International journal of agricultural and biological engineering, Powder Technology, Applied Sciences and Biosystems 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.

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