Ji Fu

988 citations
29 papers · 811 · h-index 11

Impact in

Papers in

Ji Fu

28 papers receiving 800 citations

Peers

Ji Fu
Comparison fields: 5 of 92
  • Polymers and Plastics 163
  • Biomedical Engineering 475
  • Cellular and Molecular Neuroscience 162
  • Mechanics of Materials 153
  • Cognitive Neuroscience 93
Replace Mengkun Yue with:
Mengkun Yue China
Ju Seung Lee South Korea
Yifan Rao United States
Mitsutoshi Makihata Japan
Zhouheng Wang China
Francesco Guido Italy
Jaebong Jung South Korea
Byung Duk Yang South Korea
Shuang Nie China
Fengle Wang China
Ji Fu relative to Mengkun Yue China Mengkun Yue's profile →
Citations per field
00.5×1.5×1.9×
Mengkun Yue · 1×
Citations per year

Countries citing papers authored by Ji Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ji Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019270
2 2021130
3 2021130
4 201355
5 202241
6 201329
7 201926
8 202124
9 201516
10 201313
11 201511
12 20129
13 20147
14 20136
15 20226
16 20146
17 20156
18 20215
19 20154
20 20234

About Ji Fu

Ji Fu is a scholar working on Mechanics of Materials, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Biomedical Engineering and Civil and Structural Engineering, having authored 29 papers that have together received 811 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (9 papers), Ultrasonics and Acoustic Wave Propagation (5 papers), Mechanical Behavior of Composites (4 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Adhesion, Friction, and Surface Interactions (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Mechanical and Optical Resonators (3 papers) and Fatigue and fracture mechanics (2 papers). The work is most often cited by research in Polymers and Plastics (163 citations), Biomedical Engineering (475 citations), Cellular and Molecular Neuroscience (162 citations), Mechanics of Materials (153 citations) and Cognitive Neuroscience (93 citations). Ji Fu has collaborated with scholars based in China and Australia. Frequent co-authors include Xue Feng, Yinji Ma, Fengle Wang, Faxin Li, Peng Jin, Yingchao Zhang, Xilong Zhou, Mengkun Yue, Yan Li and Tao Xie. Their work appears in journals such as Science Advances, Review of Scientific Instruments, Journal of Applied Physics, Polymer Testing and Sensors and Actuators A Physical.

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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