Yi Fu

677 citations
60 papers · 393 · h-index 11

Impact in

Papers in

Yi Fu

57 papers receiving 382 citations

Peers

Yi Fu
Comparison fields: 5 of 94
  • Museology 27
  • Tourism, Leisure and Hospitality Management 10
  • Civil and Structural Engineering 95
  • Computer Vision and Pattern Recognition 54
  • Archeology 24
Replace Rebecca Napolitano with:
Rebecca Napolitano United States
Chih-Hong Huang Taiwan
Pengcheng Zhao China
Władysław Koc Poland
Maria Giovanna Masciotta Italy
Stephen Oliver United Kingdom
Hancheng Yu China
Tarek Omar Canada
Laura Inzerillo Italy
Yi Fu relative to Rebecca Napolitano United States Rebecca Napolitano's profile →
Citations per field
00.5×4.5×
Rebecca Napolitano · 1×
Citations per year

Countries citing papers authored by Yi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202138
2 201438
3 201831
4 201228
5 201825
6 201924
7 201920
8 202317
9 201217
10 201012
11 202010
12 20197
13 20217
14 20147
15 20256
16 20105
17 20115
18 20225
19 20225
20 20144

About Yi Fu

Yi Fu is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Environmental Engineering and Biomedical Engineering, having authored 60 papers that have together received 393 indexed citations. Recurring topics across this work include Geotechnical Engineering and Soil Stabilization (11 papers), Tailings Management and Properties (7 papers), Geotechnical Engineering and Underground Structures (7 papers), Robotic Path Planning Algorithms (6 papers), Landfill Environmental Impact Studies (6 papers), Digital Media and Visual Art (3 papers), Autonomous Vehicle Technology and Safety (3 papers) and Diverse Aspects of Tourism Research (3 papers). The work is most often cited by research in Museology (27 citations), Tourism, Leisure and Hospitality Management (10 citations), Civil and Structural Engineering (95 citations), Computer Vision and Pattern Recognition (54 citations) and Archeology (24 citations). Yi Fu has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Sangkyun Kim, Wei Zhao, Ji Wang, Eerang Park, Fengchi Wang, Hai Wang, Howard Li, Mary E. Kaye, Haodi Zhang and Jie Ma. Their work appears in journals such as Scientific Reports, PLoS ONE, Materials, Applied Sciences and Bulletin of Engineering Geology and the Environment.

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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