Zhen Cui

828 citations

33 papers · 571 · h-index 16

Impact in

Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Insect Science top 10%

Papers in

Molecular Biology 11
- Circular RNAs in diseases 3
- Machine Learning in Bioinformatics 3
- Bioinformatics and Genomic Networks 2
- Genomics and Phylogenetic Studies 2
- Genomics and Chromatin Dynamics 2
Cancer Research 9
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5

Co-authors: Jin‐Xing Liu (11 shared papers)Ying-Lian Gao (10 shared papers)Jun Xu (1 shared paper)Zhan‐Feng Ye (1 shared paper)Juan Wang (4 shared papers)Guan‐Heng Zhu (1 shared paper)Shuanglin Dong (1 shared paper)Yongping Huang (1 shared paper)
Journals: BMC Bioinformatics (6 papers)IEEE Journal of Biomedical and Health Informatics (4 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)PLoS Computational Biology (2 papers)Journal of Alzheimer s Disease (1 paper)
Partner nations: China Singapore South Korea

In The Last Decade

Zhen Cui

32 papers receiving 566 citations

Peers

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-authors

The 25 scholars most cited alongside Zhen Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhen Cui Line = papers co-authored together Zhen Cui links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Functional characterization of SlitPBP3 in Spodoptera litura by CRISPR/Cas9 mediated genome editing Insect Biochemistry and Molecular Biology ·Guan‐Heng Zhu, Jun Xu, Zhen Cui, Xiao‐Tong Dong, Zhan‐Feng Ye, Dong-Juan Niu, Yongping Huang, Shuanglin Dong	2016	115
2	Deep Recurrent Regression for Facial Landmark Detection IEEE Transactions on Circuits and Systems for Video Technology ·Hanjiang Lai, Shengtao Xiao, Yan Pan, Zhen Cui, Jiashi Feng, Chunyan Xu, Jian Yin, Shuicheng Yan	2016	39
3	<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 ·Zongguang Tai, Jinyuan Ma, Jianing Ding, Huijun Pan, Rongrong Chai, Congcong Zhu, Zhen Cui, Zhongjian Chen, Quangang Zhu	2020	36
4	Shared Genetic Etiology between Type 2 Diabetes and Alzheimer’s Disease Identified by Bioinformatics Analysis Journal of Alzheimer s Disease ·Lei Gao, Zhen Cui, Liang Shen, Hong‐Fang Ji	2016	35
5	The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method BMC Bioinformatics ·Zhen Cui, Ying-Lian Gao, Jin‐Xing Liu, Juan Wang, Junliang Shang, Ling-Yun Dai	2019	31
6	WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations IEEE Journal of Biomedical and Health Informatics ·Jin‐Xing Liu, Zhen Cui, Ying-Lian Gao, Xiang-Zhen Kong	2020	28
7	NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations BMC Bioinformatics ·Ying-Lian Gao, Zhen Cui, Jin‐Xing Liu, Juan Wang, Chun-Hou Zheng	2019	25
8	L2,1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions BMC Bioinformatics ·Zhen Cui, Ying-Lian Gao, Jin‐Xing Liu, Lingyun Dai, Shasha Yuan	2019	23
9	LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring IEEE Journal of Biomedical and Health Informatics ·Zhen Cui, Jin‐Xing Liu, Ying-Lian Gao, Rong Zhu, Shasha Yuan	2019	22
10	Nano-engineered immune cells as “guided missiles” for cancer therapy Journal of Controlled Release ·Tingrui Zhang, Zongguang Tai, Zhen Cui, Rongrong Chai, Quangang Zhu, Zhongjian Chen	2021	20
11	Dual-network sparse graph regularized matrix factorization for predicting miRNA–disease associations Molecular Omics ·Mingming Gao, Zhen Cui, Ying-Lian Gao, Jin‐Xing Liu, Chun-Hou Zheng	2019	19
12	Gaussian-Induced Convolution for Graphs Proceedings of the AAAI Conference on Artificial Intelligence ·Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang	2019	19
13	Ecosystem health evaluation of urban rivers based on multitrophic aquatic organisms Journal of Environmental Management ·Zhen Cui, Wenting Fan, Cheng Chen, Kangle Mo, Qiuwen Chen, Qiang Zhang, Rong He, Rong He	2023	18
14	Base-resolution prediction of transcription factor binding signals by a deep learning framework PLoS Computational Biology ·Qinhu Zhang, Ying He, Siguo Wang, Zhan‐Heng Chen, Zhenhao Guo, Zhen Cui, Qi Liu, De-Shuang Huang	2022	17
15	LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Meng-Meng Yin, Zhen Cui, Mingming Gao, Jin‐Xing Liu, Ying-Lian Gao	2019	17
16	DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization BMC Bioinformatics ·Jin‐Xing Liu, Mingming Gao, Zhen Cui, Ying-Lian Gao, Feng Li	2021	15
17	JAK1/JAK2 degraders based on PROTAC for topical treatment of atopic dermatitis Biomedicine & Pharmacotherapy ·Junchao Wu, Lisha Li, Quangang Zhu, Tingrui Zhang, Fengze Miao, Zhen Cui, Guoqiang Dong, Zongguang Tai, Zhongjian Chen	2024	13
18	Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations IEEE Journal of Biomedical and Health Informatics ·Mingming Gao, Zhen Cui, Ying-Lian Gao, Juan Wang, Jin‐Xing Liu	2020	13
19	Computational prediction and characterization of cell-type-specific and shared binding sites Bioinformatics ·Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan, Qi Liu, De-Shuang Huang	2022	9
20	DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes PLoS Computational Biology ·Siguo Wang, Qinhu Zhang, Ying He, Zhen Cui, Zhenghao Guo, Kyungsook Han, De-Shuang Huang	2022	8

About Zhen Cui

Zhen Cui is a scholar working on Molecular Biology, Cancer Research, Computer Vision and Pattern Recognition, Immunology and Water Science and Technology, having authored 33 papers that have together received 571 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (3 papers), Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cancer Research (158 citations), Insect Science (77 citations), Molecular Biology (293 citations), Cellular and Molecular Neuroscience (59 citations) and Computer Vision and Pattern Recognition (52 citations). Zhen Cui has collaborated with scholars based in China, Singapore and South Korea. Frequent co-authors include Jin‐Xing Liu, Ying-Lian Gao, Jun Xu, Zhan‐Feng Ye, Juan Wang, Guan‐Heng Zhu, Shuanglin Dong, Yongping Huang, Chunyan Xu and Zongguang Tai. Their work appears in journals such as BMC Bioinformatics, IEEE Journal of Biomedical and Health Informatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, PLoS Computational Biology and Journal of Alzheimer s Disease.

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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