Weixuan Fu

2.4k total citations · 1 hit paper
42 papers, 1.3k citations indexed

About

Weixuan Fu is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Weixuan Fu has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 12 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Weixuan Fu's work include Genetic and phenotypic traits in livestock (15 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Cancer-related molecular mechanisms research (7 papers). Weixuan Fu is often cited by papers focused on Genetic and phenotypic traits in livestock (15 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Cancer-related molecular mechanisms research (7 papers). Weixuan Fu collaborates with scholars based in China, United States and Indonesia. Weixuan Fu's co-authors include Jason H. Moore, Trang T. Le, Behnam Abasht, W. Robert Lee, Erin M. Brannick, Marie F Mutryn, Jianfeng Liu, Xiangdong Ding, Qin Zhang and Moshe Sipper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Weixuan Fu

38 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Scaling tree-based automated machine learning to biomedical big data with a feature set selector

2019 296 citations Trang T. Le, Weixuan Fu et al. Bioinformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Weixuan Fu China	16	393	381	277	135	130	42	1.3k
Daniela Giovanna Calò Italy	17	373 0.9×	273 0.7×	155 0.6×	63 0.5×	78 0.6×	36	868
Qi Chen China	18	210 0.5×	564 1.5×	175 0.6×	199 1.5×	38 0.3×	83	1.3k
Hongliang Zhang China	15	154 0.4×	713 1.9×	215 0.8×	94 0.7×	138 1.1×	30	1.2k
Lan Yi United States	8	300 0.8×	590 1.5×	44 0.2×	275 2.0×	182 1.4×	12	1.6k
Xingwang Wang China	19	250 0.6×	408 1.1×	160 0.6×	35 0.3×	50 0.4×	81	1.3k
Sourish Ghosh India	15	111 0.3×	369 1.0×	121 0.4×	49 0.4×	59 0.5×	33	1.3k
Ying Fang China	24	166 0.4×	744 2.0×	142 0.5×	95 0.7×	22 0.2×	86	1.8k
Guangpeng Li China	31	636 1.6×	1.7k 4.4×	59 0.2×	89 0.7×	83 0.6×	210	3.0k
James R. Giles United States	21	325 0.8×	284 0.7×	107 0.4×	35 0.3×	131 1.0×	43	1.1k
Jungmin Lee South Korea	13	111 0.3×	247 0.6×	61 0.2×	90 0.7×	81 0.6×	38	1.4k

Countries citing papers authored by Weixuan Fu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Weixuan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Weixuan Fu. A scholar is included among the top collaborators of Weixuan Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weixuan Fu. Weixuan Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Zhihao, et al.. (2025). Femtosecond laser direct writing of peel ply structures for aluminum alloy adhesive bonding. Applied Surface Science. 714. 164493–164493.

Singh, Vikrant, et al.. (2022). Altered genome-wide hippocampal gene expression profiles following early life lead exposure and their potential for reversal by environmental enrichment. Scientific Reports. 12(1). 11937–11937. 6 indexed citations

Romano, Joseph D., Trang T. Le, Weixuan Fu, & Jason H. Moore. (2021). TPOT-NN: augmenting tree-based automated machine learning with neural network estimators. Genetic Programming and Evolvable Machines. 22(2). 207–227. 16 indexed citations

Manduchi, Elisabetta, et al.. (2020). Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. BMC Bioinformatics. 21(1). 430–430. 13 indexed citations

Le, Trang T., Weixuan Fu, & Jason H. Moore. (2019). Scaling tree-based automated machine learning to biomedical big data with a feature set selector. Bioinformatics. 36(1). 250–256. 296 indexed citations breakdown →

Cava, William La, et al.. (2019). Evaluating recommender systems for AI-driven data science. arXiv (Cornell University). 2 indexed citations

Tameire, Feven, Ioannis I. Verginadis, Nektaria Maria Leli, et al.. (2019). ATF4 couples MYC-dependent translational activity to bioenergetic demands during tumour progression. Nature Cell Biology. 21(7). 889–899. 167 indexed citations

Sipper, Moshe, et al.. (2018). Investigating the parameter space of evolutionary algorithms. BioData Mining. 11(1). 2–2. 57 indexed citations

Wang, Wenwen, Yang Liu, Weixuan Fu, et al.. (2015). Single-nucleotide polymorphisms in CD8A and their associations with T lymphocyte subpopulations in pig. Molecular Genetics and Genomics. 290(4). 1447–1456. 2 indexed citations

10.

Mutryn, Marie F, Erin M. Brannick, Weixuan Fu, W. Robert Lee, & Behnam Abasht. (2015). Characterization of a novel chicken muscle disorder through differential gene expression and pathway analysis using RNA-sequencing. BMC Genomics. 16(1). 399–399. 227 indexed citations

11.

Fu, Weixuan, Jack C. M. Dekkers, W. Robert Lee, & Behnam Abasht. (2015). Linkage disequilibrium in crossbred and pure line chickens. Genetics Selection Evolution. 47(1). 11–11. 41 indexed citations

12.

Liu, Yang, Weixuan Fu, Jiying Wang, et al.. (2013). Association of the Porcine Cluster of Differentiation 4 Gene with T Lymphocyte Subpopulations and Its Expression in Immune Tissues. Asian-Australasian Journal of Animal Sciences. 26(4). 463–469. 2 indexed citations

13.

Lü, Xin, Jianfeng Liu, Weixuan Fu, et al.. (2013). Genome-Wide Association Study for Cytokines and Immunoglobulin G in Swine. PLoS ONE. 8(10). e74846–e74846. 12 indexed citations

14.

Fu, Weixuan, Chonglong Wang, Xiangdong Ding, et al.. (2012). Genome-wide association analyses of the 15th QTL-MAS workshop data using mixed model based single locus regression analysis. BMC Proceedings. 6(S2). S5–S5. 1 indexed citations

15.

Lü, Xin, Weixuan Fu, Xiangdong Ding, et al.. (2012). Genome-wide association study for T lymphocyte subpopulations in swine. BMC Genomics. 13(1). 488–488. 21 indexed citations

16.

Fang, Ming, Dan Jiang, Dandan Li, et al.. (2012). Improved LASSO priors for shrinkage quantitative trait loci mapping. Theoretical and Applied Genetics. 124(7). 1315–1324. 11 indexed citations

17.

Fu, Weixuan, Yang Liu, Xin Lü, et al.. (2012). A Genome-Wide Association Study Identifies Two Novel Promising Candidate Genes Affecting Escherichia coli F4ab/F4ac Susceptibility in Swine. PLoS ONE. 7(3). e32127–e32127. 33 indexed citations

18.

Wang, Chonglong, Peipei Ma, Zhe Zhang, et al.. (2012). Comparison of five methods for genomic breeding value estimation for the common dataset of the 15th QTL-MAS Workshop. BMC Proceedings. 6(S2). S13–S13. 11 indexed citations

19.

Zhang, Zhe, Xiangdong Ding, Weixuan Fu, et al.. (2012). Application of imputation methods to genomic selection in Chinese Holstein cattle. Journal of Animal Science and Biotechnology. 3(1). 6–6. 11 indexed citations

20.

Jiang, Jicai, Li Jiang, Bin Zhou, et al.. (2011). Snat: a SNP annotation tool for bovine by integrating various sources of genomic information. BMC Genetics. 12(1). 85–85. 9 indexed citations

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.

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