Xiaofeng Fu
Impact in
- Nutrition and Dietetics top 10%
- Selenium in Biological Systems
- Trace Elements in Health
Papers in
-
- Face and Expression Recognition 5
-
- Machine Learning in Bioinformatics 2
- Co-authors
- Wei Wei (1 shared paper)Xibao Gao (4 shared papers)Zhe Li (4 shared papers)Wen Ju (4 shared papers)Xiaomei Yang (4 shared papers)Yang Yang (3 shared papers)Hong‐Bin Shen (1 shared paper)Xia Li (1 shared paper)
- Journals
- Biological Trace Element Research (2 papers)Medicine (2 papers)Annals of Translational Medicine (2 papers)Bioinformatics (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xiaofeng Fu
31 papers receiving 409 citations
Peers
Comparison fields: 5 of 94
- Nutrition and Dietetics 96
- Biological Psychiatry 11
- Health, Toxicology and Mutagenesis 56
- Computer Vision and Pattern Recognition 82
- Cancer Research 47
Countries citing papers authored by Xiaofeng Fu
This map shows the geographic impact of Xiaofeng 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 Xiaofeng Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Fu more than expected).
Fields of papers citing papers by Xiaofeng Fu
This network shows the impact of papers produced by Xiaofeng 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 Xiaofeng Fu. The network helps show where Xiaofeng Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofeng 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 68 | |
| 2 | 2017 | 63 | |
| 3 | 2018 | 57 | |
| 4 | 2017 | 35 | |
| 5 | 2016 | 32 | |
| 6 | 2017 | 19 | |
| 7 | 2018 | 17 | |
| 8 | 2019 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2010 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2019 | 3 | |
| 20 | 2024 | 3 |
About Xiaofeng Fu
Xiaofeng Fu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Nutrition and Dietetics, Nephrology and Oncology, having authored 33 papers that have together received 416 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Acute Kidney Injury Research (4 papers), Selenium in Biological Systems (3 papers), Alzheimer's disease research and treatments (3 papers), Emotion and Mood Recognition (3 papers), Machine Learning in Bioinformatics (2 papers), Heavy Metal Exposure and Toxicity (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Nutrition and Dietetics (96 citations), Biological Psychiatry (11 citations), Health, Toxicology and Mutagenesis (56 citations), Computer Vision and Pattern Recognition (82 citations) and Cancer Research (47 citations). Xiaofeng Fu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wei Wei, Xibao Gao, Zhe Li, Wen Ju, Xiaomei Yang, Yang Yang, Hong‐Bin Shen, Xia Li, Mei Ji and Xue Zhang. Their work appears in journals such as Biological Trace Element Research, Medicine, Annals of Translational Medicine, Bioinformatics and Brain Research.
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.