Jing Fu
Impact in
- Structural Biology top 1%
- Advanced Electron Microscopy Techniques and Applications
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Advanced Materials Characterization Techniques 17
-
- Integrated Circuits and Semiconductor Failure Analysis 13
- Co-authors
- Jiacong Shen (1 shared paper)Jian Ji (1 shared paper)Sriram Subramaniam (5 shared papers)Kedar Narayan (5 shared papers)Boyin Liu (14 shared papers)Rakesh G. Mote (16 shared papers)Peggy Chan (6 shared papers)Jian Li (17 shared papers)
- Journals
- Microscopy and Microanalysis (11 papers)Advanced Materials (4 papers)Ultramicroscopy (3 papers)Nano Letters (3 papers)Nanotechnology (3 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Jing Fu
152 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 165
- Structural Biology 157
- Molecular Medicine 192
- Metals and Alloys 90
- Surfaces, Coatings and Films 244
- Virology 92
Countries citing papers authored by Jing Fu
This map shows the geographic impact of Jing 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 Jing Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Fu more than expected).
Fields of papers citing papers by Jing Fu
This network shows the impact of papers produced by Jing 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 Jing Fu. The network helps show where Jing Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 158 | |
| 2 | 2006 | 154 | |
| 3 | 2013 | 107 | |
| 4 | 2015 | 77 | |
| 5 | 2011 | 75 | |
| 6 | 2023 | 75 | |
| 7 | 2015 | 64 | |
| 8 | 2013 | 64 | |
| 9 | 2011 | 56 | |
| 10 | 2016 | 50 | |
| 11 | 2013 | 48 | |
| 12 | 2011 | 40 | |
| 13 | 2012 | 38 | |
| 14 | 2013 | 37 | |
| 15 | 2012 | 33 | |
| 16 | 2014 | 33 | |
| 17 | 2012 | 31 | |
| 18 | 2020 | 31 | |
| 19 | 2023 | 30 | |
| 20 | 2007 | 30 |
About Jing Fu
Jing Fu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 165 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (22 papers), Advanced Materials Characterization Techniques (17 papers), Force Microscopy Techniques and Applications (13 papers), Integrated Circuits and Semiconductor Failure Analysis (13 papers), Advanced Electron Microscopy Techniques and Applications (12 papers), Diamond and Carbon-based Materials Research (9 papers), Antibiotic Resistance in Bacteria (8 papers) and Hydrogen embrittlement and corrosion behaviors in metals (7 papers). The work is most often cited by research in Structural Biology (157 citations), Molecular Medicine (192 citations), Metals and Alloys (90 citations), Surfaces, Coatings and Films (244 citations) and Virology (92 citations). Jing Fu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Jiacong Shen, Jian Ji, Sriram Subramaniam, Kedar Narayan, Boyin Liu, Rakesh G. Mote, Peggy Chan, Jian Li, Tony Velkov and Aswan Al‐Abboodi. Their work appears in journals such as Microscopy and Microanalysis, Advanced Materials, Ultramicroscopy, Nano Letters and Nanotechnology.
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.