Zhen Cui

805 total citations
33 papers, 557 citations indexed

About

Zhen Cui is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhen Cui has authored 33 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhen Cui's work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (6 papers) and Machine Learning in Bioinformatics (4 papers). Zhen Cui is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (6 papers) and Machine Learning in Bioinformatics (4 papers). Zhen Cui collaborates with scholars based in China, Singapore and South Korea. Zhen Cui's co-authors include Jin‐Xing Liu, Ying-Lian Gao, Juan Wang, Shuanglin Dong, Guan‐Heng Zhu, Jun Xu, Zhan‐Feng Ye, Yongping Huang, Chunyan Xu and Chun-Hou Zheng and has published in prestigious journals such as Bioinformatics, Journal of Cleaner Production and Chemical Engineering Journal.

In The Last Decade

Zhen Cui

32 papers receiving 551 citations

Peers

Zhen Cui

GENET

CMN

Andreas Gerasch Germany

Paolo Sonego Italy

Domenica D’Elia Italy

Hongyang Li United States

Junhao Lu China

Yuqian Li China

Sungjae Kim South Korea

Fengyuan Hu China

Kahn Rhrissorrakrai United States

Andreas Gerasch Germany

Zhen Cui

417 ×1.2

92 ×0.6

10 ×0.1

68 ×1.0

GENET

13 ×0.2

CMN

Citations per year, relative to Zhen Cui Zhen Cui (= 1×) peers Andreas Gerasch

Countries citing papers authored by Zhen Cui

Since Specialization

Citations

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

Fields of papers citing papers by Zhen Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Cui

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

Cui, Zhen, et al.. (2024). Effects of ecological restoration on microbial-mediated ammonia removal in polluted rivers: Microcosm experiment and physical modelling. Journal of Cleaner Production. 486. 144529–144529. 1 indexed citations

Zhang, Xinyue, Leilei Bao, Zhiliang Yu, et al.. (2024). Nanoengineered M1 macrophages enhance photodynamic therapy of melanoma through oxygen production and subsequent antitumor immunity. Chemical Engineering Journal. 487. 150153–150153. 4 indexed citations

Wu, Junchao, Quangang Zhu, Fengze Miao, et al.. (2024). JAK1/JAK2 degraders based on PROTAC for topical treatment of atopic dermatitis. Biomedicine & Pharmacotherapy. 171. 116167–116167. 12 indexed citations

Cui, Zhen, et al.. (2024). NPENN: A Noise Perturbation Ensemble Neural Network for Microbiome Disease Phenotype Prediction. IEEE Journal of Biomedical and Health Informatics. 29(3). 2210–2221. 1 indexed citations

Huang, Jiacong, et al.. (2023). Characterizing nitrogen dynamics and their response to sediment dredging in a lowland rural river. Journal of Hydrology. 628. 130479–130479. 7 indexed citations

Cui, Zhen, et al.. (2023). Ecosystem health evaluation of urban rivers based on multitrophic aquatic organisms. Journal of Environmental Management. 349. 119476–119476. 17 indexed citations

Zhang, Qinhu, Siguo Wang, Ying He, et al.. (2022). Computational prediction and characterization of cell-type-specific and shared binding sites. Bioinformatics. 39(1). 9 indexed citations

Zhang, Qinhu, Ying He, Siguo Wang, et al.. (2022). Base-resolution prediction of transcription factor binding signals by a deep learning framework. PLoS Computational Biology. 18(3). e1009941–e1009941. 16 indexed citations

Cui, Zhen, Zhan‐Heng Chen, Qinhu Zhang, et al.. (2021). RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(6). 3663–3672. 6 indexed citations

10.

Zhang, Tingrui, Zongguang Tai, Zhen Cui, et al.. (2021). Nano-engineered immune cells as “guided missiles” for cancer therapy. Journal of Controlled Release. 341. 60–79. 19 indexed citations

11.

Liu, Jin‐Xing, et al.. (2021). DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization. BMC Bioinformatics. 22(S3). 241–241. 15 indexed citations

12.

Cui, Zhen, et al.. (2021). Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations. BMC Bioinformatics. 22(1). 573–573. 5 indexed citations

13.

Tai, Zongguang, Jinyuan Ma, Rongrong Chai, et al.. (2020). <p>Aptamer-Functionalized Dendrimer Delivery of Plasmid-Encoding lncRNA <em>MEG3</em> Enhances Gene Therapy in Castration-Resistant Prostate Cancer</p>. International Journal of Nanomedicine. Volume 15. 10305–10320. 34 indexed citations

14.

Cui, Zhen, et al.. (2019). Dual-network sparse graph regularized matrix factorization for predicting miRNA–disease associations. Molecular Omics. 15(2). 130–137. 19 indexed citations

15.

Cui, Zhen, et al.. (2019). LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(3). 1122–1129. 17 indexed citations

16.

Cui, Zhen, Jin‐Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, & Juan Wang. (2019). RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations. BMC Bioinformatics. 20(S25). 686–686. 7 indexed citations

17.

Cui, Zhen, Ying-Lian Gao, Jin‐Xing Liu, et al.. (2019). The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method. BMC Bioinformatics. 20(1). 5–5. 31 indexed citations

18.

Gao, Ying-Lian, Zhen Cui, Jin‐Xing Liu, Juan Wang, & Chun-Hou Zheng. (2019). NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations. BMC Bioinformatics. 20(1). 353–353. 25 indexed citations

19.

Zhu, Guan‐Heng, Jun Xu, Zhen Cui, et al.. (2016). Functional characterization of SlitPBP3 in Spodoptera litura by CRISPR/Cas9 mediated genome editing. Insect Biochemistry and Molecular Biology. 75. 1–9. 114 indexed citations

20.

Lai, Hanjiang, Shengtao Xiao, Yan Pan, et al.. (2016). Deep Recurrent Regression for Facial Landmark Detection. IEEE Transactions on Circuits and Systems for Video Technology. 28(5). 1144–1157. 39 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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