Yang Young Lu

1.7k total citations · 1 hit paper
22 papers, 953 citations indexed

About

Yang Young Lu is a scholar working on Molecular Biology, Ecology and Spectroscopy. According to data from OpenAlex, Yang Young Lu has authored 22 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Ecology and 4 papers in Spectroscopy. Recurrent topics in Yang Young Lu's work include Genomics and Phylogenetic Studies (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Machine Learning in Bioinformatics (5 papers). Yang Young Lu is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Machine Learning in Bioinformatics (5 papers). Yang Young Lu collaborates with scholars based in United States, China and Canada. Yang Young Lu's co-authors include Fengzhu Sun, Jed A. Fuhrman, Jie Ren, Nathan A. Ahlgren, Ting Chen, Kujin Tang, Jie Ren, Ying Wang, Ziye Wang and Shanfeng Zhu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Frontiers in Microbiology.

In The Last Decade

Yang Young Lu

19 papers receiving 946 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.

VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data

2017 400 citations Jie Ren, Nathan A. Ahlgren et al. Microbiome profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yang Young Lu United States	10	664	583	205	93	57	22	953
Bahador Nosrat United States	8	657 1.0×	566 1.0×	170 0.8×	90 1.0×	152 2.7×	8	1.1k
Clovis Galiez France	7	670 1.0×	450 0.8×	141 0.7×	57 0.6×	40 0.7×	12	931
Xianglilan Zhang China	15	662 1.0×	388 0.7×	85 0.4×	103 1.1×	56 1.0×	54	1.2k
Diana Radune United States	9	403 0.6×	197 0.3×	127 0.6×	138 1.5×	37 0.6×	11	758
Alex Lukashin United States	2	818 1.2×	372 0.6×	300 1.5×	58 0.6×	49 0.9×	2	1.2k
Sajia Akhter United States	7	440 0.7×	332 0.6×	144 0.7×	51 0.5×	48 0.8×	9	712
Chunhong Mao United States	20	684 1.0×	131 0.2×	167 0.8×	132 1.4×	70 1.2×	36	1.1k
Granger Sutton United States	11	722 1.1×	218 0.4×	225 1.1×	60 0.6×	79 1.4×	18	1.0k
Yosuke Nishimura Japan	15	718 1.1×	1.0k 1.8×	305 1.5×	130 1.4×	86 1.5×	31	1.4k
Sean Benler United States	12	320 0.5×	415 0.7×	106 0.5×	71 0.8×	55 1.0×	15	559

Countries citing papers authored by Yang Young Lu

Since Specialization

Citations

This map shows the geographic impact of Yang Young Lu'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 Yang Young Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Young Lu more than expected).

Fields of papers citing papers by Yang Young Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Young Lu. 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 Yang Young Lu. The network helps show where Yang Young Lu may publish in the future.

Co-authorship network of co-authors of Yang Young Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Young Lu. A scholar is included among the top collaborators of Yang Young Lu 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 Yang Young Lu. Yang Young Lu 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

Liao, D. Joshua, et al.. (2025). PhyloMix: enhancing microbiome-trait association prediction through phylogeny-mixing augmentation. Bioinformatics. 41(2). 2 indexed citations

Zhu, Qiyun, et al.. (2025). Modeling microbiome-trait associations with taxonomy-adaptive neural networks. Microbiome. 13(1). 87–87. 1 indexed citations

Kertész‐Farkas, Attila, et al.. (2025). Fast and Memory-Efficient Searching of Large-Scale Mass Spectrometry Data Using Tide. Journal of Proteome Research. 24(9). 4831–4837.

Chen, Winston, et al.. (2025). Error-controlled non-additive interaction discovery in machine learning models. Nature Machine Intelligence. 7(9). 1541–1554.

Ma, Chang, Linjin Zheng, Lijun Wu, et al.. (2024). Retrieved Sequence Augmentation for Protein Representation Learning. 1738–1767.

Kertész‐Farkas, Attila, Jimmy K. Eng, William E. Fondrie, et al.. (2023). The Crux Toolkit for Analysis of Bottom-Up Tandem Mass Spectrometry Proteomics Data. Journal of Proteome Research. 22(2). 561–569. 9 indexed citations

Ma, Zhi, et al.. (2022). Metric learning for comparing genomic data with triplet network. Briefings in Bioinformatics. 23(5). 3 indexed citations

Lu, Yang Young, Jeff Bilmes, Ricard A. Rodríguez‐Mias, Judit Villén, & William Stafford Noble. (2021). DIAmeter: matching peptides to data-independent acquisition mass spectrometry data. Bioinformatics. 37(Supplement_1). i434–i442. 17 indexed citations

Lu, Yang Young, et al.. (2020). CRAFT: Compact genome Representation toward large-scale Alignment-Free daTabase. Bioinformatics. 37(2). 155–161. 3 indexed citations

10.

Read, David F., Kate B. Cook, Yang Young Lu, Karine G. Le Roch, & William Stafford Noble. (2019). Predicting gene expression in the human malaria parasite Plasmodium falciparum using histone modification, nucleosome positioning, and 3D localization features. PLoS Computational Biology. 15(9). e1007329–e1007329. 27 indexed citations

11.

Wang, Ziye, et al.. (2019). SolidBin: improving metagenome binning with semi-supervised normalized cut. Bioinformatics. 35(21). 4229–4238. 48 indexed citations

12.

Tang, Kujin, Yang Young Lu, & Fengzhu Sun. (2018). Background Adjusted Alignment-Free Dissimilarity Measures Improve the Detection of Horizontal Gene Transfer. Frontiers in Microbiology. 9. 711–711. 5 indexed citations

13.

Mujat, Mircea, Yang Young Lu, Gopi Maguluri, et al.. (2018). Visualizing the vasculature of the entire human eye posterior hemisphere without a contrast agent. Biomedical Optics Express. 10(1). 167–167. 5 indexed citations

14.

Ren, Jie, Xin Bai, Yang Young Lu, et al.. (2018). Alignment-Free Sequence Analysis and Applications. PubMed. 1(1). 93–114. 56 indexed citations

15.

Hu, Alex, Yang Young Lu, Jeff Bilmes, & William Stafford Noble. (2018). Joint Precursor Elution Profile Inference via Regression for Peptide Detection in Data-Independent Acquisition Mass Spectra. Journal of Proteome Research. 18(1). 86–94. 3 indexed citations

16.

Lu, Yang Young, Jinchi Lv, Jed A. Fuhrman, & Fengzhu Sun. (2017). Towards enhanced and interpretable clustering/classification in integrative genomics. Nucleic Acids Research. 45(20). e169–e169. 1 indexed citations

17.

Wang, Ying, Kun Wang, Yang Young Lu, & Fengzhu Sun. (2017). Improving contig binning of metagenomic data using $$ {d}_2^S $$ oligonucleotide frequency dissimilarity. BMC Bioinformatics. 18(1). 425–425. 21 indexed citations

18.

Lu, Yang Young, Kujin Tang, Jie Ren, et al.. (2017). CAFE: aCcelerated Alignment-FrEe sequence analysis. Nucleic Acids Research. 45(W1). W554–W559. 44 indexed citations

19.

Ren, Jie, Nathan A. Ahlgren, Yang Young Lu, Jed A. Fuhrman, & Fengzhu Sun. (2017). VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data. Microbiome. 5(1). 69–69. 400 indexed citations breakdown →

20.

Lu, Yang Young, Ting Chen, Jed A. Fuhrman, & Fengzhu Sun. (2016). COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge. Bioinformatics. 33(6). 791–798. 101 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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