Chien‐Yu Fu
Impact in
- Toxicology top 10%
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Microfluidic and Bio-sensing Technologies 6
- 3D Printing in Biomedical Research 4
- Microfluidic and Capillary Electrophoresis Applications 4
- Biosensors and Analytical Detection 3
- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Co-authors
- Gwo‐Bin Lee (6 shared papers)Yu-Dong Ma (1 shared paper)Chih‐Hung Wang (2 shared papers)Hwan‐You Chang (5 shared papers)Mel S. Lee (1 shared paper)Huey‐Ling You (1 shared paper)Wen-Hsin Chang (1 shared paper)Yi-Sin Chen (2 shared papers)
- Journals
- Lab on a Chip (4 papers)Biosensors and Bioelectronics (2 papers)Tissue Engineering Part C Methods (1 paper)Journal of Chromatography B (1 paper)Biomicrofluidics (1 paper)
- Partner nations
- TaiwanHong KongUnited Kingdom
In The Last Decade
Chien‐Yu Fu
14 papers receiving 365 citations
Peers
Comparison fields: 5 of 81
- Toxicology 23
- Clinical Biochemistry 33
- Biomedical Engineering 205
- Cancer Research 40
- Bioengineering 15
Countries citing papers authored by Chien‐Yu Fu
This map shows the geographic impact of Chien‐Yu 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 Chien‐Yu Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Yu Fu more than expected).
Fields of papers citing papers by Chien‐Yu Fu
This network shows the impact of papers produced by Chien‐Yu 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 Chien‐Yu Fu. The network helps show where Chien‐Yu Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chien‐Yu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 73 | |
| 2 | 2018 | 67 | |
| 3 | 2020 | 65 | |
| 4 | 2007 | 44 | |
| 5 | 2010 | 31 | |
| 6 | 2016 | 22 | |
| 7 | 2011 | 18 | |
| 8 | 2015 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2014 | 9 | |
| 11 | 2017 | 5 | |
| 12 | 2011 | 2 | |
| 13 | 2017 | 1 | |
| 14 | IN VITRO HEPATOCYTE-ACTIVITY ENHANCEMENT VIA A LOBULE- MIMETIC ENGINEERED LIVER TISSUE LAB CHIP | 2010 | 1 |
About Chien‐Yu Fu
Chien‐Yu Fu is a scholar working on Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Cell Biology and Hepatology, having authored 14 papers that have together received 369 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (6 papers), 3D Printing in Biomedical Research (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Electrowetting and Microfluidic Technologies (3 papers), Biosensors and Analytical Detection (3 papers), Liver physiology and pathology (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Toxicology (23 citations), Clinical Biochemistry (33 citations), Biomedical Engineering (205 citations), Cancer Research (40 citations) and Bioengineering (15 citations). Chien‐Yu Fu has collaborated with scholars based in Taiwan, Hong Kong and United Kingdom. Frequent co-authors include Gwo‐Bin Lee, Yu-Dong Ma, Chih‐Hung Wang, Hwan‐You Chang, Mel S. Lee, Huey‐Ling You, Wen-Hsin Chang, Yi-Sin Chen, Chihchen Chen and Yen‐Wen Chen. Their work appears in journals such as Lab on a Chip, Biosensors and Bioelectronics, Tissue Engineering Part C Methods, Journal of Chromatography B and Biomicrofluidics.
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.