Weixuan Fu
Impact in
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genomic variations and chromosomal abnormalities
Papers in
- Genetics 18
- Genetic and phenotypic traits in livestock 12
- Genetic Mapping and Diversity in Plants and Animals 10
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- RNA and protein synthesis mechanisms 3
- Co-authors
- Jason H. Moore (8 shared papers)Trang T. Le (4 shared papers)Behnam Abasht (3 shared papers)W. Robert Lee (3 shared papers)Erin M. Brannick (1 shared paper)Marie F Mutryn (1 shared paper)Xiangdong Ding (17 shared papers)Jianfeng Liu (16 shared papers)
- Journals
- PLoS ONE (4 papers)Asian-Australasian Journal of Animal Sciences (3 papers)BMC Genomics (3 papers)Animal Genetics (3 papers)Livestock Science (3 papers)
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Weixuan Fu
38 papers receiving 1.3k citations
Weixuan Fu's Hit Papers
Peers
Comparison fields: 5 of 153
- Animal Science and Zoology 264
- Genetics 355
- Cancer Research 107
- Cell Biology 99
- Health Informatics 7
Countries citing papers authored by Weixuan Fu
This map shows the geographic impact of Weixuan 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 Weixuan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weixuan Fu more than expected).
Fields of papers citing papers by Weixuan Fu
This network shows the impact of papers produced by Weixuan 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 Weixuan Fu. The network helps show where Weixuan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weixuan 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Scaling tree-based automated machine learning to biomedical big data with a feature set selector Hit paper breakdown → | 2019 | 313 |
| 2 | 2015 | 230 | |
| 3 | 2019 | 174 | |
| 4 | 2012 | 80 | |
| 5 | 2018 | 59 | |
| 6 | 2015 | 41 | |
| 7 | 2019 | 40 | |
| 8 | 2012 | 36 | |
| 9 | 2012 | 33 | |
| 10 | 2016 | 29 | |
| 11 | 2012 | 26 | |
| 12 | 2014 | 24 | |
| 13 | 2014 | 21 | |
| 14 | 2012 | 21 | |
| 15 | 2013 | 20 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2012 | 13 | |
| 20 | 2013 | 12 |
About Weixuan Fu
Weixuan Fu is a scholar working on Genetics, Molecular Biology, Immunology, Cancer Research and Agronomy and Crop Science, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (12 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Cancer-related molecular mechanisms research (6 papers), Animal Disease Management and Epidemiology (5 papers), Genetics and Plant Breeding (5 papers), Immune Response and Inflammation (4 papers), Evolutionary Algorithms and Applications (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Animal Science and Zoology (264 citations), Genetics (355 citations), Cancer Research (107 citations), Cell Biology (99 citations) and Health Informatics (7 citations). Weixuan Fu has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Jason H. Moore, Trang T. Le, Behnam Abasht, W. Robert Lee, Erin M. Brannick, Marie F Mutryn, Xiangdong Ding, Jianfeng Liu, Qin Zhang and Moshe Sipper. Their work appears in journals such as PLoS ONE, Asian-Australasian Journal of Animal Sciences, BMC Genomics, Animal Genetics and Livestock Science.
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.