Fei Guo

1.4k total citations
38 papers, 972 citations indexed

About

Fei Guo is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Fei Guo has authored 38 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Cancer Research. Recurrent topics in Fei Guo's work include Machine Learning in Bioinformatics (12 papers), RNA and protein synthesis mechanisms (11 papers) and Genomics and Chromatin Dynamics (5 papers). Fei Guo is often cited by papers focused on Machine Learning in Bioinformatics (12 papers), RNA and protein synthesis mechanisms (11 papers) and Genomics and Chromatin Dynamics (5 papers). Fei Guo collaborates with scholars based in China, United States and Canada. Fei Guo's co-authors include Jijun Tang, Yijie Ding, Quan Zou, Jing Li, Wenying He, Leyi Wei, Min Zeng, Chengqian Lu, Min Li and Rui Yin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Fei Guo

30 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Guo China 13 737 252 95 73 47 38 972
Yizhou Li China 15 562 0.8× 152 0.6× 62 0.7× 63 0.9× 24 0.5× 62 746
Joel P. Arrais Portugal 16 485 0.7× 297 1.2× 84 0.9× 65 0.9× 125 2.7× 73 866
Xiang Cheng China 19 1.9k 2.6× 285 1.1× 158 1.7× 64 0.9× 21 0.4× 33 2.3k
Huiying Zhao China 17 612 0.8× 140 0.6× 382 4.0× 60 0.8× 42 0.9× 42 1.4k
Yanyi Chu China 15 696 0.9× 383 1.5× 63 0.7× 90 1.2× 140 3.0× 20 912
Pu-Feng Du China 23 1.7k 2.3× 207 0.8× 126 1.3× 159 2.2× 14 0.3× 60 2.0k
Len Trigg New Zealand 5 735 1.0× 100 0.4× 105 1.1× 178 2.4× 22 0.5× 8 1.1k
Hai-Cheng Yi China 17 804 1.1× 362 1.4× 105 1.1× 248 3.4× 79 1.7× 39 1000
Xiangzheng Fu China 21 1.1k 1.5× 325 1.3× 124 1.3× 323 4.4× 98 2.1× 84 1.3k
Katherine M. Collins United Kingdom 11 490 0.7× 96 0.4× 106 1.1× 45 0.6× 39 0.8× 21 854

Countries citing papers authored by Fei Guo

Since Specialization
Citations

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

Fields of papers citing papers by Fei Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Guo. A scholar is included among the top collaborators of Fei Guo 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 Fei Guo. Fei Guo 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.
2.
Liu, Xingxing, et al.. (2025). Ethical leadership and nurses’ job performance: the mediating role of self-compassion. Frontiers in Public Health. 12. 1535065–1535065. 4 indexed citations
3.
He, Wenying, et al.. (2025). EnsembleSE: identification of super-enhancers based on ensemble learning. Briefings in Functional Genomics. 24.
4.
Guo, Li, Fengwen Xu, Xiaojing Chi, et al.. (2025). Identification of neutralizing nanobodies protecting against poxvirus infection. Cell Discovery. 11(1). 31–31. 3 indexed citations
5.
Liu, Rongrong, Gaomei Zhao, Honglei Li, et al.. (2025). Exploring the repository of de novo-designed bifunctional antimicrobial peptides through deep learning. eLife. 13. 5 indexed citations
6.
Lu, Chengqian, et al.. (2025). RNALoc-LM: RNA subcellular localization prediction using pre-trained RNA language model. Bioinformatics. 41(4). 2 indexed citations
7.
Wang, Junfeng, Jingjing Wei, Chaokun Yan, et al.. (2025). CGLoop: a neural network framework for chromatin loop prediction. BMC Genomics. 26(1). 342–342.
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Cui, X. F., et al.. (2024). Design and structure of overlapping regions in PCA via deep learning. Synthetic and Systems Biotechnology. 10(2). 442–451.
10.
Yao, Hua, Guozhi Li, Fei Guo, et al.. (2024). Alternative splicing responses to salt stress in Glycyrrhiza uralensis revealed by global profiling of transcriptome RNA-seq datasets. Frontiers in Genetics. 15. 1397502–1397502.
11.
He, Wenying, et al.. (2024). NBCR-ac4C: A Deep Learning Framework Based on Multivariate BERT for Human mRNA N4-Acetylcytidine Sites Prediction. Journal of Chemical Information and Modeling. 64(20). 8074–8081.
12.
Song, Kai, et al.. (2023). Machine learning-aided scoring of synthesis difficulties for designer chromosomes. Science China Life Sciences. 66(7). 1615–1625. 7 indexed citations
13.
Duan, Guihua, et al.. (2022). DeepBLI: A Transferable Multichannel Model for Detecting β-Lactamase-Inhibitor Interaction. Journal of Chemical Information and Modeling. 62(22). 5830–5840. 7 indexed citations
14.
Du, Jun, et al.. (2022). An Improved YOLOv3 for Foreign Objects Detection of Transmission Lines. IEEE Access. 10. 45620–45628. 28 indexed citations
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Wu, Ran, Fei Guo, Baohua Qian, et al.. (2021). Bibliometric Analysis of Global Circular RNA Research Trends from 2007 to 2018.. SHILAP Revista de lepidopterología. 23(2). 238–246. 6 indexed citations
18.
Guo, Fei, et al.. (2020). MRMD2.0: A Python Tool for Machine Learning with Feature Ranking and Reduction. Current Bioinformatics. 15(10). 1213–1221. 83 indexed citations
19.
Ding, Yijie, Jijun Tang, & Fei Guo. (2017). Identification of Protein–Ligand Binding Sites by Sequence Information and Ensemble Classifier. Journal of Chemical Information and Modeling. 57(12). 3149–3161. 65 indexed citations
20.
Rajalingam, Dakshinamurthy, et al.. (2010). Characterization of the Minimalistic Fgf-D2 Domain Interface. Biophysical Journal. 98(3). 32a–32a. 6 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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