Zhixiang Lin

2.0k total citations
37 papers, 592 citations indexed

About

Zhixiang Lin is a scholar working on Molecular Biology, Cancer Research and Biophysics. According to data from OpenAlex, Zhixiang Lin has authored 37 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Biophysics. Recurrent topics in Zhixiang Lin's work include Single-cell and spatial transcriptomics (23 papers), Gene expression and cancer classification (18 papers) and Epigenetics and DNA Methylation (5 papers). Zhixiang Lin is often cited by papers focused on Single-cell and spatial transcriptomics (23 papers), Gene expression and cancer classification (18 papers) and Epigenetics and DNA Methylation (5 papers). Zhixiang Lin collaborates with scholars based in Hong Kong, China and United States. Zhixiang Lin's co-authors include Wing Hung Wong, Timothy Daley, Hongyu Zhao, Mahdi Zamanighomi, Can Yang, Xiang Wan, Wenyu Zhang, Alicia N. Schep, Zhana Duren and Xi Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Zhixiang Lin

34 papers receiving 584 citations

Peers

Zhixiang Lin

GENET

BIOPH

Minki Kim South Korea

Xiaodan Yang China

Taobo Hu China

Weichen Song China

F. William Townes United States

Rebecca Smith France

Serdar Bozdag United States

Sydney Gang United States

Jitendra Kanodia United States

Minki Kim South Korea

Zhixiang Lin

213 ×0.5

73 ×0.8

40 ×0.6

GENET

10 ×0.2

BIOPH

23 ×0.5

Citations per year, relative to Zhixiang Lin Zhixiang Lin (= 1×) peers Minki Kim

Countries citing papers authored by Zhixiang Lin

Since Specialization

Citations

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

Fields of papers citing papers by Zhixiang Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhixiang Lin. 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 Zhixiang Lin. The network helps show where Zhixiang Lin may publish in the future.

Co-authorship network of co-authors of Zhixiang Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhixiang Lin. A scholar is included among the top collaborators of Zhixiang Lin 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 Zhixiang Lin. Zhixiang Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Miao, Jianhua, Jinzhao Li, Jingxue Xin, et al.. (2025). MultiGATE: integrative analysis and regulatory inference in spatial multi-omics data via graph representation learning. Nature Communications. 16(1). 9403–9403.

Miao, Jianhua, et al.. (2025). TIVelo: RNA velocity estimation leveraging cluster-level trajectory inference. Nature Communications. 16(1). 6258–6258.

Chen, Yuheng, et al.. (2025). A unified framework for identification of cell-type-specific spatially variable genes in spatial transcriptomic studies. Proceedings of the National Academy of Sciences. 122(46). e2503952122–e2503952122.

Yan, Hong, et al.. (2025). Precise gene expression deconvolution in spatial transcriptomics with STged. Nucleic Acids Research. 53(4). 4 indexed citations

Zhao, Kai, et al.. (2024). INSIDER: Interpretable sparse matrix decomposition for RNA expression data analysis. PLoS Genetics. 20(3). e1011189–e1011189. 1 indexed citations

Zhao, Kai, Hon‐Cheong So, & Zhixiang Lin. (2024). scParser: sparse representation learning for scalable single-cell RNA sequencing data analysis. Genome biology. 25(1). 223–223. 2 indexed citations

Zhang, Wenyu & Zhixiang Lin. (2023). iPoLNG—An unsupervised model for the integrative analysis of single-cell multiomics data. Frontiers in Genetics. 14. 998504–998504. 3 indexed citations

Lin, Zhixiang, et al.. (2023). scICML: Information-Theoretic Co-Clustering-Based Multi-View Learning for the Integrative Analysis of Single-Cell Multi-Omics Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(1). 200–207. 3 indexed citations

Xiao, Jiashun, Mingxuan Cai, Ryohichi Sugimura, et al.. (2023). Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope. Nature Communications. 14(1). 7848–7848. 64 indexed citations

10.

Li, Jinzhao, Jiong Wang, & Zhixiang Lin. (2023). SGCAST: symmetric graph convolutional auto-encoder for scalable and accurate study of spatial transcriptomics. Briefings in Bioinformatics. 25(1). 3 indexed citations

11.

Chan, Ting‐Fung, et al.. (2023). stVAE deconvolves cell-type composition in large-scale cellular resolution spatial transcriptomics. Bioinformatics. 39(10). 4 indexed citations

12.

Lin, Zhixiang, et al.. (2021). scAMACE: model-based approach to the joint analysis of single-cell data on chromatin accessibility, gene expression and methylation. Bioinformatics. 37(21). 3874–3880. 9 indexed citations

13.

Chen, Shengquan, et al.. (2021). RA3 is a reference-guided approach for epigenetic characterization of single cells. Nature Communications. 12(1). 2177–2177. 43 indexed citations

14.

Lin, Zhixiang, et al.. (2021). coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data. PLoS Computational Biology. 17(6). e1009064–e1009064. 12 indexed citations

15.

Lin, Zhixiang, et al.. (2020). Coupled co-clustering-based unsupervised transfer learning for the integrative analysis of single-cell genomic data. Briefings in Bioinformatics. 22(4). 13 indexed citations

16.

Zamanighomi, Mahdi, Zhixiang Lin, Timothy Daley, et al.. (2018). Unsupervised clustering and epigenetic classification of single cells. Nature Communications. 9(1). 2410–2410. 85 indexed citations

17.

Wang, Zhiqiong, et al.. (2018). Improved lung nodule diagnosis accuracy using lung CT images with uncertain class. Computer Methods and Programs in Biomedicine. 162. 197–209. 41 indexed citations

18.

Lin, Zhixiang, Can Yang, Ying Zhu, et al.. (2016). Simultaneous dimension reduction and adjustment for confounding variation. Proceedings of the National Academy of Sciences. 113(51). 14662–14667. 27 indexed citations

19.

Lin, Zhixiang, Stephan Sanders, Mingfeng Li, et al.. (2015). A Markov random field-based approach to characterizing human brain development using spatial–temporal transcriptome data. The Annals of Applied Statistics. 9(1). 429–451. 10 indexed citations

20.

Gallagher, Jennifer E. G., Wei Zheng, Xiaoqing Rong, et al.. (2014). Divergence in a master variator generates distinct phenotypes and transcriptional responses. Genes & Development. 28(4). 409–421. 16 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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