Xiufen Zou

1.9k total citations
105 papers, 1.4k citations indexed

About

Xiufen Zou is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Xiufen Zou has authored 105 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 23 papers in Computational Theory and Mathematics and 18 papers in Artificial Intelligence. Recurrent topics in Xiufen Zou's work include Gene Regulatory Network Analysis (28 papers), Bioinformatics and Genomic Networks (21 papers) and Metaheuristic Optimization Algorithms Research (15 papers). Xiufen Zou is often cited by papers focused on Gene Regulatory Network Analysis (28 papers), Bioinformatics and Genomic Networks (21 papers) and Metaheuristic Optimization Algorithms Research (15 papers). Xiufen Zou collaborates with scholars based in China, United States and Australia. Xiufen Zou's co-authors include Suoqin Jin, Dingjie Wang, Yu Chen, Weicheng Xie, Qing Nie, Zishu Pan, Lee Bardwell, Natalia L. Komarova, Yuanyuan Li and Wei Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Xiufen Zou

99 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiufen Zou China 20 583 250 216 162 117 105 1.4k
Jan Hasenauer Germany 31 1.7k 3.0× 198 0.8× 188 0.9× 110 0.7× 124 1.1× 144 2.7k
Momiao Xiong United States 17 351 0.6× 70 0.3× 135 0.6× 91 0.6× 70 0.6× 46 957
Narsis A. Kiani Sweden 17 233 0.4× 110 0.4× 128 0.6× 69 0.4× 158 1.4× 63 960
Tim Maiwald Germany 12 954 1.6× 130 0.5× 109 0.5× 51 0.3× 122 1.0× 14 1.9k
Jihong Shen China 22 545 0.9× 53 0.2× 130 0.6× 48 0.3× 118 1.0× 149 1.5k
William T. Baumann United States 22 670 1.1× 62 0.2× 61 0.3× 80 0.5× 52 0.4× 73 1.9k
Babak Alipanahi Canada 15 2.7k 4.6× 159 0.6× 424 2.0× 76 0.5× 89 0.8× 30 3.8k
Andrew Delong Canada 11 1.7k 2.9× 166 0.7× 470 2.2× 72 0.4× 41 0.4× 14 3.2k
Paul Knopp United Kingdom 14 561 1.0× 181 0.7× 115 0.5× 46 0.3× 18 0.2× 19 1.4k
Jinzhi Lei China 21 528 0.9× 64 0.3× 46 0.2× 339 2.1× 45 0.4× 99 1.4k

Countries citing papers authored by Xiufen Zou

Since Specialization
Citations

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

Fields of papers citing papers by Xiufen Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiufen Zou

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

All Works

20 of 20 papers shown
1.
Wang, Shun, et al.. (2024). Mathematical modeling and dynamic analysis for cancer resistance incorporating persister cells. Communications in Nonlinear Science and Numerical Simulation. 134. 107996–107996.
2.
Wang, Tengfei & Xiufen Zou. (2024). Dynamic analysis of a drug resistance evolution model with nonlinear immune response. Mathematical Biosciences. 374. 109239–109239.
3.
Tan, Qing, Qian Wang, Suoqin Jin, Fuling Zhou, & Xiufen Zou. (2023). Network Evolution Model-based prediction of tumor mutation burden from radiomic-clinical features in endometrial cancers. BMC Cancer. 23(1). 712–712. 2 indexed citations
4.
Jin, Suoqin, et al.. (2022). scAB detects multiresolution cell states with clinical significance by integrating single-cell genomics and bulk sequencing data. Nucleic Acids Research. 50(21). 12112–12130. 13 indexed citations
5.
Hu, Chang, Qing Tan, Yiming Li, et al.. (2022). Application of interpretable machine learning for early prediction of prognosis in acute kidney injury. Computational and Structural Biotechnology Journal. 20. 2861–2870. 32 indexed citations
6.
Tan, Qing, et al.. (2022). Accurate prediction of glioma grades from radiomics using a multi-filter and multi-objective-based method. Mathematical Biosciences & Engineering. 20(2). 2890–2907. 5 indexed citations
8.
Ma, Chen, et al.. (2021). Dynamic Host Immune and Transcriptomic Responses to Respiratory Syncytial Virus Infection in a Vaccination-Challenge Mouse Model. Virologica Sinica. 36(6). 1327–1340. 4 indexed citations
9.
Pan, Ruangang, Scott M. Anthony, Yu Zhou, et al.. (2020). Oligodendrocytes that survive acute coronavirus infection induce prolonged inflammatory responses in the CNS. Proceedings of the National Academy of Sciences. 117(27). 15902–15910. 34 indexed citations
10.
Huang, Yuan, et al.. (2020). scPADGRN: A preconditioned ADMM approach for reconstructing dynamic gene regulatory network using single-cell RNA sequencing data. PLoS Computational Biology. 16(7). e1007471–e1007471. 7 indexed citations
11.
Wang, Dingjie, et al.. (2019). Control of multilayer biological networks and applied to target identification of complex diseases. BMC Bioinformatics. 20(1). 271–271. 7 indexed citations
12.
Jin, Suoqin, Dingjie Wang, & Xiufen Zou. (2018). Trajectory Control in Nonlinear Networked Systems and Its Applications to Complex Biological Systems. SIAM Journal on Applied Mathematics. 78(1). 629–649. 16 indexed citations
13.
Liu, Yuewu & Xiufen Zou. (2017). Mathematical modeling of HIV-like particle assembly in vitro. Mathematical Biosciences. 288. 46–51. 5 indexed citations
14.
Zhang, Wei, Tianhai Tian, & Xiufen Zou. (2015). Negative feedback contributes to the stochastic expression of the interferon-β gene in virus-triggered type I interferon signaling pathways. Mathematical Biosciences. 265. 12–27. 7 indexed citations
15.
Wang, Yuanbin, et al.. (2015). Mathematical modeling for intracellular transport and binding of HIV-1 Gag proteins. Mathematical Biosciences. 262. 198–205. 12 indexed citations
16.
Jin, Suoqin, Yuanyuan Li, Ruangang Pan, & Xiufen Zou. (2014). Characterizing and controlling the inflammatory network during influenza A virus infection. Scientific Reports. 4(1). 3799–3799. 52 indexed citations
17.
Zhang, Wei & Xiufen Zou. (2013). Systematic Analysis of the Mechanisms of Virus-Triggered Type I IFN Signaling Pathways through Mathematical Modeling. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(3). 771–779. 8 indexed citations
18.
Xie, Weicheng, Xiufen Zou, Jiandong Yang, & Jiebin Yang. (2012). Iteration and optimization scheme for the reconstruction of 3D surfaces based on non-uniform rational B-splines. Computer-Aided Design. 44(11). 1127–1140. 41 indexed citations
19.
Zou, Xiufen, et al.. (2009). Performance assessment of DMOEA-DD with CEC 2009 MOEA competition test instances. 2913–2918. 72 indexed citations
20.
Zou, Xiufen, et al.. (2002). Finding global minima with a new dynamical evolutionary algorithm. Wuhan University Journal of Natural Sciences. 7(2). 157–160. 3 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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