Shao‐Wu Zhang

4.6k total citations
142 papers, 3.1k citations indexed

About

Shao‐Wu Zhang is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Shao‐Wu Zhang has authored 142 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 25 papers in Cancer Research and 23 papers in Computational Theory and Mathematics. Recurrent topics in Shao‐Wu Zhang's work include Bioinformatics and Genomic Networks (35 papers), Machine Learning in Bioinformatics (30 papers) and RNA modifications and cancer (29 papers). Shao‐Wu Zhang is often cited by papers focused on Bioinformatics and Genomic Networks (35 papers), Machine Learning in Bioinformatics (30 papers) and RNA modifications and cancer (29 papers). Shao‐Wu Zhang collaborates with scholars based in China, United States and United Kingdom. Shao‐Wu Zhang's co-authors include Yufei Huang, Jia Meng, Xiao-Nan Fan, Luonan Chen, Ze‐Gang Wei, Lin Zhang, Wei-Feng Guo, Jian Feng, Hui Liu and Yidong Chen and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Shao‐Wu Zhang

133 papers receiving 3.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shao‐Wu Zhang	2.5k	762	478	218	180	142	3.1k
Fuyi Li	3.8k 1.5×	342 0.4×	713 1.5×	184 0.8×	58 0.3×	126	4.9k
Hui Ding	7.5k 3.0×	873 1.1×	759 1.6×	224 1.0×	48 0.3×	135	8.2k
Bin Liu	7.7k 3.1×	1.2k 1.5×	807 1.7×	428 2.0×	89 0.5×	165	8.9k
Yi Xiong	2.2k 0.9×	233 0.3×	807 1.7×	232 1.1×	125 0.7×	126	3.1k
Hilal Tayara	1.9k 0.8×	242 0.3×	468 1.0×	211 1.0×	105 0.6×	133	2.8k
Yanjie Wei	1.1k 0.4×	262 0.3×	397 0.8×	129 0.6×	189 1.1×	130	2.0k
Yijie Ding	3.4k 1.4×	434 0.6×	1.2k 2.4×	337 1.5×	58 0.3×	181	4.3k
Guohua Wang	3.1k 1.2×	1.1k 1.5×	341 0.7×	172 0.8×	26 0.1×	184	3.9k
Tae Hwan Shin	2.5k 1.0×	191 0.3×	280 0.6×	114 0.5×	31 0.2×	58	3.3k

Countries citing papers authored by Shao‐Wu Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Shao‐Wu Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shao‐Wu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Shao‐Wu Zhang. A scholar is included among the top collaborators of Shao‐Wu Zhang 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 Shao‐Wu Zhang. Shao‐Wu Zhang 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, Kun, et al.. (2025). Design and application of kernel PCA assembly parameter model in assembly retrieval. Journal of Mechanical Science and Technology. 39(4). 1999–2013.

Cui, Xiaodong, et al.. (2025). Classification of Alzheimer’s disease by jointing 3D depthwise separable convolutional neural network and transformer. Expert Systems with Applications. 286. 127720–127720.

Zhang, Shao‐Wu, et al.. (2024). MSCLK: Multi-scale fully separable convolution neural network with large kernels for early diagnosis of Alzheimer’s disease. Expert Systems with Applications. 252. 124241–124241. 2 indexed citations

Feng, Jian, et al.. (2023). A social theory-enhanced graph representation learning framework for multitask prediction of drug–drug interactions. Briefings in Bioinformatics. 24(1). 11 indexed citations

Zhang, Shao‐Wu, et al.. (2023). Few-Shot Drug Synergy Prediction With a Prior-Guided Hypernetwork Architecture. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 9709–9725. 12 indexed citations

Feng, Jian, Shao‐Wu Zhang, Qingqing Zhang, Chuhan Zhang, & Jian‐Yu Shi. (2022). deepMDDI: A deep graph convolutional network framework for multi-label prediction of drug-drug interactions. Analytical Biochemistry. 646. 114631–114631. 30 indexed citations

Guo, Wei-Feng, Xiangtian Yu, Qianqian Shi, et al.. (2021). Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis. PLoS Computational Biology. 17(5). e1008962–e1008962. 23 indexed citations

Guo, Wei-Feng, Shao‐Wu Zhang, Jian Feng, et al.. (2020). Network controllability-based algorithm to target personalized driver genes for discovering combinatorial drugs of individual patients. Nucleic Acids Research. 49(7). e37–e37. 37 indexed citations

Guo, Wei-Feng, Shao‐Wu Zhang, Tao Zeng, et al.. (2019). A novel network control model for identifying personalized driver genes in cancer. PLoS Computational Biology. 15(11). e1007520–e1007520. 60 indexed citations

10.

Shi, Jian‐Yu, et al.. (2018). An Integrated Local Classification Model of Predicting Drug-Drug Interactions via Dempster-Shafer Theory of Evidence. Scientific Reports. 8(1). 11829–11829. 8 indexed citations

11.

Liu, Hui, Huaizhi Wang, Zhen Wei, et al.. (2017). MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Nucleic Acids Research. 46(D1). D281–D287. 96 indexed citations

12.

Wei, Ze‐Gang & Shao‐Wu Zhang. (2015). MtHc: a motif-based hierarchical method for clustering massive 16S rRNA sequences into OTUs. Molecular BioSystems. 11(7). 1907–1913. 17 indexed citations

13.

Fan, Xiao-Nan & Shao‐Wu Zhang. (2015). lncRNA-MFDL: identification of human long non-coding RNAs by fusing multiple features and using deep learning. Molecular BioSystems. 11(3). 892–897. 71 indexed citations

14.

Yan, Xiaoying, et al.. (2015). Prediction of drug–target interaction by label propagation with mutual interaction information derived from heterogeneous network. Molecular BioSystems. 12(2). 520–531. 43 indexed citations

15.

Liu, Lian, Shao‐Wu Zhang, Hui Liu, et al.. (2014). Decomposition of RNA methylome reveals co-methylation patterns induced by latent enzymatic regulators of the epitranscriptome. Molecular BioSystems. 11(1). 262–274. 26 indexed citations

16.

Zhang, Shao‐Wu & Jinxing Li. (2010). Evolution of Three-Dimensional Hermite-Laguerre-Gaussian Soliton Clusters in Strongly Nonlocal Confinement. Chinese Journal of Physics. 48(3). 408–416. 1 indexed citations

17.

Zhang, Shao‐Wu. (2008). Research and design of USB device driver in Win2000/XP. Jisuanji gongcheng yu sheji.

18.

Zhang, Shao‐Wu, et al.. (2007). An Algorithm Based on Resolvant Operators for Solving Positively Semidefinite Variational Inequalities. Fixed Point Theory and Applications. 2007(1). 3 indexed citations

19.

Zhang, Shao‐Wu. (2003). CLASSIFICATION OF QUATERNARY STRUCTURE USING SUPPORT VECTOR MACHINES AND BAYES METHODS. 4 indexed citations

20.

Zhang, Shao‐Wu, et al.. (2003). Classification of protein homo-oligomers using support vector machine. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 30(6). 879–883. 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.

Explore authors with similar magnitude of impact