Xiang Fu
Impact in
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- Cancer-related molecular mechanisms research
- Hardware and Architecture top 10%
- VLSI and Analog Circuit Testing
Papers in
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- Ubiquitin and proteasome pathways 3
- Cancer-related gene regulation 3
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- Integrated Circuits and Semiconductor Failure Analysis 7
- Low-power high-performance VLSI design 4
- Co-authors
- Fengling Zhang (1 shared paper)Wenlin Huang (6 shared papers)Ran-Yi Liu (6 shared papers)Jiale Xiang (1 shared paper)Bei Huang (3 shared papers)Wei Chen (3 shared papers)Ling Zhou (4 shared papers)Kaixuan Wang (2 shared papers)
- Journals
- IEEE Journal of the Electron Devices Society (2 papers)Cell Death and Disease (2 papers)IEEE Transactions on Affective Computing (1 paper)Biology Direct (1 paper)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Xiang Fu
55 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 140
- Hardware and Architecture 51
- Aging 12
- Molecular Biology 445
- Oncology 160
Countries citing papers authored by Xiang Fu
This map shows the geographic impact of Xiang 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 Xiang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Fu more than expected).
Fields of papers citing papers by Xiang Fu
This network shows the impact of papers produced by Xiang 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 Xiang Fu. The network helps show where Xiang Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiang 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 86 | |
| 2 | 2017 | 63 | |
| 3 | 2017 | 60 | |
| 4 | 2017 | 59 | |
| 5 | 2015 | 53 | |
| 6 | 2021 | 50 | |
| 7 | 2018 | 44 | |
| 8 | 2009 | 42 | |
| 9 | 2018 | 40 | |
| 10 | 2019 | 39 | |
| 11 | 2020 | 35 | |
| 12 | 2017 | 35 | |
| 13 | 2013 | 35 | |
| 14 | 2019 | 35 | |
| 15 | 2018 | 32 | |
| 16 | 2018 | 24 | |
| 17 | 2019 | 24 | |
| 18 | 2017 | 23 | |
| 19 | 2023 | 21 | |
| 20 | 2015 | 21 |
About Xiang Fu
Xiang Fu is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Oncology, Hardware and Architecture and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (8 papers), Integrated Circuits and Semiconductor Failure Analysis (7 papers), Low-power high-performance VLSI design (4 papers), Advanced Data Storage Technologies (4 papers), Ubiquitin and proteasome pathways (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Autism Spectrum Disorder Research (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Cancer Research (140 citations), Hardware and Architecture (51 citations), Aging (12 citations), Molecular Biology (445 citations) and Oncology (160 citations). Xiang Fu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Fengling Zhang, Wenlin Huang, Ran-Yi Liu, Jiale Xiang, Bei Huang, Wei Chen, Ling Zhou, Kaixuan Wang, Zhongyuan Xu and Ji-Feng Xiang. Their work appears in journals such as IEEE Journal of the Electron Devices Society, Cell Death and Disease, IEEE Transactions on Affective Computing, Biology Direct and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.