Feifei Cui

2.0k total citations · 1 hit paper
83 papers, 1.4k citations indexed

About

Feifei Cui is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Feifei Cui has authored 83 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Feifei Cui's work include Machine Learning in Bioinformatics (27 papers), RNA and protein synthesis mechanisms (19 papers) and Single-cell and spatial transcriptomics (13 papers). Feifei Cui is often cited by papers focused on Machine Learning in Bioinformatics (27 papers), RNA and protein synthesis mechanisms (19 papers) and Single-cell and spatial transcriptomics (13 papers). Feifei Cui collaborates with scholars based in China, Macao and Japan. Feifei Cui's co-authors include Quan Zou, Zilong Zhang, Chen Cao, Mulin Jun Li, Zhao Da, Jianhua Wang, Devin Kwok, Lichao Zhang, Lei Xu and Zhibin Lv and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nano Letters.

In The Last Decade

Feifei Cui

72 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study

2021 316 citations Chen Cao, Jianhua Wang et al. Nucleic Acids Research profile →

Peers

Countries citing papers authored by Feifei Cui

Since Specialization

Citations

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

Fields of papers citing papers by Feifei Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifei Cui

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

#	Work	Indexed citations
1	ST-GCP: a graph convolutional network model with contrastive consistency and permutation for spatial transcriptomics 2025 ·Briefings in Bioinformatics ·Yajie Meng, Yongkang Wang, (unknown), Xianfang Tang, Zilong Zhang, Feifei Cui, Xiangzheng Fu, Quan Zou, Xu Lu, (unknown)	0
2	Phase Composition and Electronic Modulation of Na‐V‐PO ₄ Enabling a 3.8 V Higher‐Voltage Plateau for High‐Energy Sodium‐Ion Batteries 2025 ·Small ·Feifei Cui, Zhen Bai, Zhixue Tian, Xue Gao, Ning Wang, Young G. Chai	1
3	MCAMEF-BERT: an efficient deep learning method for RNA N7-methylguanosine site prediction via multi-branch feature integration 2025 ·Briefings in Bioinformatics ·(unknown), (unknown), (unknown), (unknown), (unknown), Junru Jin, Leyi Wei, Hua Shi, Zilong Zhang, Feifei Cui, (unknown), Zhongmin Yan	0
4	GICL: A Cross-Modal Drug Property Prediction Framework Based on Knowledge Enhancement of Large Language Models 2025 ·Journal of Chemical Information and Modeling ·Na Li, (unknown), Fei Gao, Yanling Wang, Hua Shi, Zilong Zhang, Feifei Cui, Lichao Zhang, Leyi Wei	0
5	Deep Learning in Antimicrobial Peptide Prediction 2025 ·Journal of Chemical Information and Modeling ·(unknown), (unknown), Feifei Cui, Zilong Zhang, Hua Shi, Leyi Wei	2
6	ACP-ESM2: Enhancing Anticancer Peptide Prediction With Pre-Trained Protein Language Models 2025 ·PubMed ·Shun Gao, Ying Xia, Xingfeng Li, Feifei Cui, Qingchen Zhang, Q. Zou, Zilong Zhang	2
7	NeuroPred-AIMP: Multimodal Deep Learning for Neuropeptide Prediction via Protein Language Modeling and Temporal Convolutional Networks 2025 ·Journal of Chemical Information and Modeling ·(unknown), (unknown), Hua Shi, Feifei Cui, (unknown), Leyi Wei	0
8	UMPPI: Unveiling Multilevel Protein–Peptide Interaction Prediction via Language Models 2025 ·Journal of Chemical Information and Modeling ·(unknown), (unknown), Hua Shi, Feifei Cui, (unknown), Leyi Wei	2
9	NeuroCL: A deep learning approach for identifying neuropeptides based on contrastive learning 2025 ·Analytical Biochemistry ·Jian K. Liu, (unknown), Feifei Cui, Junlin Xu, Yajie Meng, Leyi Wei, Qingchen Zhang, Quan Zou, (unknown)	0
10	DeepMaT: Prediction of Target Peptide Classification and Cleavage Site by Combining Mamba2 and Multiple Attention Mechanisms 2025 ·Journal of Chemical Information and Modeling ·Q. G. Wen, (unknown), Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Feifei Cui	1
11	CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction 2025 ·Neural Networks ·(unknown), (unknown), (unknown), Jiajing Wang, Junlin Xu, Meng Yu, Leyi Wei, Quan Zou, Zilong Zhang, Feifei Cui	0
12	iBitter-GRE: A Novel Stacked Bitter Peptide Predictor with ESM-2 and Multi-View Features 2025 ·Journal of Molecular Biology ·Jingwei Lv, (unknown), (unknown), Leyi Wei, Quan Zou, Zilong Zhang, Feifei Cui	3
13	Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning 2024 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·(unknown), (unknown), (unknown), (unknown), Xingfeng Li, Qingchen Zhang, (unknown), Quan Zou, Feifei Cui	5
14	MultiFeatVotPIP: a voting-based ensemble learning framework for predicting proinflammatory peptides 2024 ·Briefings in Bioinformatics ·(unknown), (unknown), (unknown), (unknown), Feifei Cui	10
15	Integration tools for scRNA-seq data and spatial transcriptomics sequencing data 2024 ·Briefings in Functional Genomics ·(unknown), (unknown), Miao Chen, (unknown), Feifei Cui, Quan Zou, Zilong Zhang	8
16	MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting 2023 ·Frontiers of Environmental Science & Engineering ·Kunsen Lin, Youcai Zhao, Lina Wang, (unknown), Feifei Cui, Tao Zhou	19
17	RAVAR: a curated repository for rare variant–trait associations 2023 ·Nucleic Acids Research ·Chen Cao, (unknown), (unknown), Devin Kwok, Lin Liu, (unknown), Zilong Zhang, Feifei Cui, (unknown), (unknown), (unknown), Hangjin Jiang, (unknown), Quan Zou	11
18	webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration 2022 ·Bioinformatics ·Zilong Zhang, Feifei Cui, (unknown), (unknown), Anqi Xu, Chen Cao, Quan Zou	27
19	webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study breakdown → 2021 ·Nucleic Acids Research ·Chen Cao, Jianhua Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Zhao Da, Mulin Jun Li, Quan Zou	316
20	Computational biology and chemistry Special section editorial: Computational analyses for miRNA 2021 ·Computational Biology and Chemistry ·Feifei Cui, (unknown), Quan Zou	3

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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