Mengyun Wu

1.2k total citations
87 papers, 855 citations indexed

About

Mengyun Wu is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Mengyun Wu has authored 87 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 14 papers in Genetics and 9 papers in Computational Theory and Mathematics. Recurrent topics in Mengyun Wu's work include Gene expression and cancer classification (29 papers), Bioinformatics and Genomic Networks (29 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Mengyun Wu is often cited by papers focused on Gene expression and cancer classification (29 papers), Bioinformatics and Genomic Networks (29 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Mengyun Wu collaborates with scholars based in China, United States and Hong Kong. Mengyun Wu's co-authors include Shuangge Ma, Dao‐Qing Dai, Xiao-Fei Zhang, Hong Yan, Le Ou-Yang, Luoxin Wang, Yuan Zhu, Qingzhao Zhang, Weihua Lai and Juan Peng and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Mengyun Wu

85 papers receiving 850 citations

Peers

Mengyun Wu

GENET

EEE

Yingjie Ma China

Junghun Suh South Korea

Xuxia Zhang China

Changxi Li China

Rongxin Li China

Chun‐Hung Wang Taiwan

Hongxia Hao China

Shunsuke Tomita Japan

Cong Cai China

Yingjie Ma China

Mengyun Wu

293 ×0.7

150 ×1.2

90 ×0.9

GENET

57 ×0.7

EEE

104 ×1.2

Citations per year, relative to Mengyun Wu Mengyun Wu (= 1×) peers Yingjie Ma

Countries citing papers authored by Mengyun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Mengyun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengyun Wu

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

Zhang, Tan, et al.. (2025). Alkylation of Imines with Alkyl Halides under Electrochemical Conditions. Advanced Synthesis & Catalysis. 367(8). 1 indexed citations

Zhao, Peng, Chaofeng Chen, Hanwen Zhang, et al.. (2023). PPS ultrafine fiber enhanced aramid fiber filter with superior thermal stability and excellent chemical resistance for efficient PM2.5 removal. Reactive and Functional Polymers. 188. 105605–105605. 9 indexed citations

Li, Zhiying, Mengyun Wu, Xuyi Wang, et al.. (2023). Thermal decomposition and charring behavior of polyphenylene sulfide/para-amrid fiber composite paper with excellent fireproof property. Reactive and Functional Polymers. 194. 105761–105761. 3 indexed citations

Wu, Mengyun, Panlong Lin, Xiang Zhou, et al.. (2023). High-wet-strength hierarchically split cellulose fiber-based paper enabled by ultrafine polylactic acid and densification. Composites Communications. 39. 101548–101548. 11 indexed citations

Wang, Jiaqi, Chaofeng Chen, Mengyun Wu, et al.. (2023). Biomimetic and flexible high-performance carbon paper prepared by welding three-dimensional carbon fiber network with polyphenylene sulfide spherical sites for fuel cell gas diffusion layer. Composites Science and Technology. 239. 110065–110065. 10 indexed citations

Wu, Mengyun, Zhixian Wang, Meijun Chen, et al.. (2023). A self-floating photothermal evaporator with 3D gradient water channel for highly efficient solar seawater desalination. Reactive and Functional Polymers. 185. 105529–105529. 10 indexed citations

Wu, Mengyun, Yu Gao, Zhi Zhang, et al.. (2023). How Do Repeated Viewings in Forest Landscapes Influence Young People’s Visual Behaviors and Cognitive Evaluations?. International Journal of Environmental Research and Public Health. 20(6). 4753–4753. 3 indexed citations

Wu, Mengyun, Ya‐Hui Lin, Kam W. Leong, et al.. (2023). Isotropic multi-scale neuronal reconstruction from high-ratio expansion microscopy with contrastive unsupervised deep generative models. Computer Methods and Programs in Biomedicine. 244. 107991–107991. 2 indexed citations

Wu, Mengyun, et al.. (2023). A multiple lateral flow immunoassay based on AuNP for the detection of 5 chemical contaminants in milk. Journal of Dairy Science. 106(6). 3856–3867. 15 indexed citations

10.

Li, Yang, et al.. (2023). ZINBMM: a general mixture model for simultaneous clustering and gene selection using single-cell transcriptomic data. Genome biology. 24(1). 208–208. 2 indexed citations

11.

Chen, Xu, Xing Qin, Shuyang Dai, et al.. (2023). Establishment of Biliary Atresia Prognostic Classification System via Survival-Based Forward Clustering — A New Biliary Atresia Classification. The Indian Journal of Pediatrics. 92(2). 138–149. 1 indexed citations

12.

Wu, Mengyun, Yu Jiang, & Shuangge Ma. (2021). Integration of Proteomics and Other Omics Data. Methods in molecular biology. 2361. 307–324. 3 indexed citations

13.

Zhang, Qingzhao, et al.. (2021). Heterogeneity Analysis via Integrating Multi-Sources High-Dimensional Data With Applications to Cancer Studies. Statistica Sinica. 33(2). 729–758. 1 indexed citations

14.

Imran, Muhammad, et al.. (2019). Influence of economic and non-economic factors on firm level equity premium: Evidence from Pakistan. Economics bulletin. 39(3). 1774–1785. 3 indexed citations

15.

Wu, Mengyun, et al.. (2018). Robust identification of gene-environment interactions for prognosis using a quantile partial correlation approach. Genomics. 111(5). 1115–1123. 15 indexed citations

16.

Wu, Mengyun, et al.. (2017). Assisted clustering of gene expression data using ANCut. BMC Genomics. 18(1). 623–623. 8 indexed citations

17.

Zhang, Xiao-Fei, Le Ou-Yang, Dao‐Qing Dai, et al.. (2016). Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks. BMC Bioinformatics. 17(1). 358–358. 12 indexed citations

18.

Wu, Mengyun, Dao‐Qing Dai, Xiao-Fei Zhang, & Yuan Zhu. (2013). Cancer Subtype Discovery and Biomarker Identification via a New Robust Network Clustering Algorithm. PLoS ONE. 8(6). e66256–e66256. 19 indexed citations

19.

Wu, Mengyun, Dao‐Qing Dai, Yu Shi, Hong Yan, & Xiao-Fei Zhang. (2012). Biomarker Identification and Cancer Classification Based on Microarray Data Using Laplace Naive Bayes Model with Mean Shrinkage. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(6). 1649–1662. 34 indexed citations

20.

Zhang, Xiaofei, et al.. (2012). Identifying Spurious Interactions and Predicting Missing Interactions in the Protein-Protein Interaction Networks via a Generative Network Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(1). 219–225. 12 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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