Wenxian Yang

1.6k total citations
54 papers, 609 citations indexed

About

Wenxian Yang is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Wenxian Yang has authored 54 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 19 papers in Molecular Biology and 10 papers in Artificial Intelligence. Recurrent topics in Wenxian Yang's work include Advanced Data Compression Techniques (8 papers), Genomics and Phylogenetic Studies (7 papers) and Single-cell and spatial transcriptomics (6 papers). Wenxian Yang is often cited by papers focused on Advanced Data Compression Techniques (8 papers), Genomics and Phylogenetic Studies (7 papers) and Single-cell and spatial transcriptomics (6 papers). Wenxian Yang collaborates with scholars based in China, Singapore and United States. Wenxian Yang's co-authors include Rongshan Yu, Jianfei Cai, Jianmin Zheng, Jiebo Luo, Yan Kong, Chuanliang Cui, Liansheng Wang, King Ngi Ngan, Lingmei Kong and Renlong Hang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Wenxian Yang

50 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenxian Yang China	13	205	130	93	78	62	54	609
Yuchen Zhang China	15	392 1.9×	137 1.1×	51 0.5×	119 1.5×	63 1.0×	42	1.0k
Ozy Sjahputera United States	14	183 0.9×	257 2.0×	37 0.4×	86 1.1×	14 0.2×	29	680
Tom Haber Belgium	16	936 4.6×	91 0.7×	33 0.4×	35 0.4×	36 0.6×	40	1.4k
Xiaobing Han China	13	435 2.1×	201 1.5×	124 1.3×	95 1.2×	5 0.1×	25	1.0k
Bahram Parvin United States	15	339 1.7×	116 0.9×	69 0.7×	249 3.2×	18 0.3×	54	725
Christian Sigg Switzerland	15	363 1.8×	73 0.6×	83 0.9×	46 0.6×	5 0.1×	44	976
Shun Liu China	11	131 0.6×	194 1.5×	53 0.6×	23 0.3×	28 0.5×	23	528
Matthew Hirn United States	8	61 0.3×	359 2.8×	44 0.5×	103 1.3×	5 0.1×	24	678
Fayyaz Minhas United Kingdom	21	186 0.9×	507 3.9×	162 1.7×	536 6.9×	24 0.4×	72	1.4k
Xiangyue Zhang China	15	102 0.5×	121 0.9×	95 1.0×	16 0.2×	20 0.3×	51	725

Countries citing papers authored by Wenxian Yang

Since Specialization

Citations

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

Fields of papers citing papers by Wenxian Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenxian Yang

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

Yang, Wenxian, et al.. (2025). Scoring information integration with statistical quality control enhanced cross-run analysis of data-independent acquisition proteomics data. Communications Chemistry. 8(1). 364–364. 1 indexed citations

Liu, Xianyang, Shuhao Zeng, Qian Zhou, et al.. (2025). BARD1-mediated stabilization of METTL14 promotes retinal neovascularization by m6A-modifying MXD1 mRNA on a YTHDF2-dependent manner. Theranostics. 15(11). 5481–5498. 2 indexed citations

Huang, Jiaxing, Wei Fan, Hui Yang, et al.. (2025). Lactate-binding protein DNMT3A in HRMECs promotes angiogenesis by upregulating VEGFA through HIF-1α lactylation. Genome biology. 26(1). 377–377. 1 indexed citations

Chen, Ying, et al.. (2024). Tracing unknown tumor origins with a biological-pathway-based transformer model. Cell Reports Methods. 4(6). 100797–100797. 4 indexed citations

Fan, Siqi, Zhenlin Zhang, Haibao Yu, et al.. (2024). RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception. 22347–22357. 16 indexed citations

Tong, Mengsha, et al.. (2023). Prioritizing prognostic-associated subpopulations and individualized recurrence risk signatures from single-cell transcriptomes of colorectal cancer. Briefings in Bioinformatics. 24(3). 5 indexed citations

Zhu, Xu, Lili Zhao, Lihong Huang, et al.. (2023). cgMSI: pathogen detection within species from nanopore metagenomic sequencing data. BMC Bioinformatics. 24(1). 387–387. 2 indexed citations

Lin, Yating, Haojun Li, Xu Xiao, et al.. (2022). DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks. Patterns. 3(3). 100440–100440. 9 indexed citations

Yang, Wenxian, et al.. (2022). Application of individualized differential expression analysis in human cancer proteome. Briefings in Bioinformatics. 23(3). 5 indexed citations

10.

Xiao, Xu, Qian Guo, Chuanliang Cui, et al.. (2022). Multiplexed imaging mass cytometry reveals distinct tumor-immune microenvironments linked to immunotherapy responses in melanoma. SHILAP Revista de lepidopterología. 2(1). 131–131. 18 indexed citations

11.

Cui, Chuanliang, Wenxian Yang, Zhihong Chi, et al.. (2021). Ratio of the interferon-γ signature to the immunosuppression signature predicts anti-PD-1 therapy response in melanoma. npj Genomic Medicine. 6(1). 7–7. 61 indexed citations

12.

Huang, Lihong, Bin Hong, Wenxian Yang, Liansheng Wang, & Rongshan Yu. (2021). Snipe: highly sensitive pathogen detection from metagenomic sequencing data. Briefings in Bioinformatics. 22(5). 4 indexed citations

13.

Gao, Mingxuan, Wenxian Yang, Chenxin Li, et al.. (2021). Deep representation features from DreamDIAXMBD improve the analysis of data-independent acquisition proteomics. Communications Biology. 4(1). 1190–1190. 17 indexed citations

14.

Yu, Rongshan & Wenxian Yang. (2020). ScaleQC: a scalable lossy to lossless solution for NGS data compression. Bioinformatics. 36(17). 4551–4559. 6 indexed citations

15.

Hu, Jing, Chuanliang Cui, Wenxian Yang, et al.. (2020). Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology images. Translational Oncology. 14(1). 100921–100921. 48 indexed citations

16.

Gao, Mingxuan, Shun Wang, Xu Xiao, et al.. (2020). Comparison of high-throughput single-cell RNA sequencing data processing pipelines. Briefings in Bioinformatics. 22(3). 16 indexed citations

17.

Yang, Wenxian, Jianfei Cai, & Jianmin Zheng. (2010). Solving the out-of-gamut problem in image composition. 3977–3980. 4 indexed citations

18.

Ding, Feng, Wenxian Yang, Wee Kheng Leow, & Sudhakar K. Venkatesh. (2009). 3D segmentation of soft organs by flipping-free mesh deformation. National University of Singapore. 1–7. 4 indexed citations

19.

Yang, Wenxian, et al.. (2009). A Composite Model Based on Shape for Fast Image Matching. 216–220. 1 indexed citations

20.

Rath, Gagan, Wenxian Yang, & Christine Guillemot. (2008). Compression of Laplacian Pyramids Through Orthogonal Transforms and Improved Prediction. IEEE Transactions on Image Processing. 17(9). 1587–1604. 1 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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