Fei Guo

7.5k citations

280 papers · 5.4k · 1 hit paper · h-index 39

Impact in

Molecular Biology top 2%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA modifications and cancer
Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods

Papers in

Molecular Biology 149
- Machine Learning in Bioinformatics 64
- RNA and protein synthesis mechanisms 27
- Bioinformatics and Genomic Networks 25
- Genomics and Phylogenetic Studies 23
- Protein Structure and Dynamics 20
Computational Theory and Mathematics 36
- Computational Drug Discovery Methods 36

Co-authors: Jijun Tang (93 shared papers)Yijie Ding (60 shared papers)Quan Zou (31 shared papers)Limin Jiang (17 shared papers)Leyi Wei (4 shared papers)Yinan Shen (2 shared papers)Pengwei Xing (2 shared papers)Ran Su (2 shared papers)
Journals: Briefings in Bioinformatics (18 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (13 papers)Frontiers in Genetics (6 papers)IEEE Journal of Biomedical and Health Informatics (5 papers)BMC Genomics (5 papers)
Partner nations: China United States Hong Kong

In The Last Decade

Fei Guo

266 papers receiving 5.4k citations

Fei Guo's Hit Papers

align trajectories log scale

Foundation models in bioinformatics 2025 · 33 citations

Peers

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-authors

The 25 scholars most cited alongside Fei Guo, 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 Fei Guo Line = papers co-authored together Fei Guo 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 280 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Improved prediction of protein–protein interactions using novel negative samples, features, and an ensemble classifier Artificial Intelligence in Medicine ·Leyi Wei, Pengwei Xing, Jiancang Zeng, JinXiu Chen, Ran Su, Fei Guo	2017	208
2	Application of Machine Learning in Microbiology Frontiers in Microbiology ·Kaiyang Qu, Fei Guo, Xiangrong Liu, Yuan Lin, Quan Zou	2019	149
3	Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC Journal of Theoretical Biology ·Yinan Shen, Jijun Tang, Fei Guo	2018	138
4	Identification of Drug–Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion Knowledge-Based Systems ·Yijie Ding, Jijun Tang, Fei Guo	2020	129
5	Predicting protein-protein interactions via multivariate mutual information of protein sequences BMC Bioinformatics ·Yijie Ding, Jijun Tang, Fei Guo	2016	122
6	Post-transcriptional regulatory network of epithelial-to-mesenchymal and mesenchymal-to-epithelial transitions Journal of Hematology & Oncology ·Fei Guo, Brittany C. Parker Kerrigan, Da Yang, Limei Hu, Ilya Shmulevich, Anil K. Sood, Fengxia Xue, Wei Zhang	2014	117
7	Prediction of remaining useful life and state of health of lithium batteries based on time series feature and Savitzky-Golay filter combined with gated recurrent unit neural network Energy ·Fei Guo, Xiongwei Wu, Lili Liu, Jilei Ye, Tao Wang, Lijun Fu, Yuping Wu	2023	117
8	Differential features of patients with mutations in two COX assembly genes,SURF-1 andSCO2 Annals of Neurology ·Carolyn M. Sue, Charalampos Karadimas, Nicoletta Checcarelli, Kurenai Tanji, Lefkothea C. Papadopoulou, Francesco Pallotti, Fei Guo, Sara Shanske, Michio Hirano, Darryl C. De Vivo, Rudy Van Coster, Paige Kaplan, E. Bonilla, S. DiMauro	2000	101
9	DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides IEEE Journal of Biomedical and Health Informatics ·Jiawei Li, Yuqian Pu, Jijun Tang, Quan Zou, Fei Guo	2020	96
10	Identification of drug–target interactions via fuzzy bipartite local model Neural Computing and Applications ·Yijie Ding, Jijun Tang, Fei Guo	2019	88
11	Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning IEEE Journal of Biomedical and Health Informatics ·Yijie Ding, Jijun Tang, Fei Guo	2018	86
12	Identifying N6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine Scientific Reports ·Pengwei Xing, Ran Su, Fei Guo, Leyi Wei	2017	78
13	MDA-SKF: Similarity Kernel Fusion for Accurately Discovering miRNA-Disease Association Frontiers in Genetics ·Limin Jiang, Yijie Ding, Jijun Tang, Fei Guo	2018	76
14	Identification of drug–target interactions via multiple kernel-based triple collaborative matrix factorization Briefings in Bioinformatics ·Yijie Ding, Jijun Tang, Fei Guo, Quan Zou	2021	71
15	A comprehensive overview and critical evaluation of gene regulatory network inference technologies Briefings in Bioinformatics ·Mengyuan Zhao, Wenying He, Jijun Tang, Quan Zou, Fei Guo	2021	70
16	Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment Briefings in Bioinformatics ·Hao Wang, Jijun Tang, Yijie Ding, Fei Guo	2020	68
17	A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data Briefings in Bioinformatics ·Mengyuan Zhao, Wenying He, Jijun Tang, Quan Zou, Fei Guo	2021	64
18	AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine Frontiers in Bioengineering and Biotechnology ·Chaolu Meng, Shunshan Jin, Lei Wang, Fei Guo, Quan Zou	2019	61
19	Improved detection of DNA-binding proteins via compression technology on PSSM information PLoS ONE ·Yubo Wang, Yijie Ding, Fei Guo, Leyi Wei, Jijun Tang	2017	61
20	Machine learning aided construction of the quorum sensing communication network for human gut microbiota Nature Communications ·Shengbo Wu, Jie Feng, Chunjiang Liu, Hao Wu, Zekai Qiu, Jianjun Ge, Shuyang Sun, Xia Hong, Yukun Li, Xiaona Wang, Aidong Yang, Fei Guo, Jianjun Qiao	2022	59

About Fei Guo

Fei Guo is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Computer Vision and Pattern Recognition and Epidemiology, having authored 280 papers that have together received 5.4k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (64 papers), Computational Drug Discovery Methods (36 papers), RNA and protein synthesis mechanisms (27 papers), Bioinformatics and Genomic Networks (25 papers), Genomics and Phylogenetic Studies (23 papers), Protein Structure and Dynamics (20 papers), Cancer-related molecular mechanisms research (18 papers) and Brucella: diagnosis, epidemiology, treatment (14 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Computational Theory and Mathematics (800 citations), Cancer Research (638 citations), Microbiology (159 citations) and Small Animals (147 citations). Fei Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jijun Tang, Yijie Ding, Quan Zou, Limin Jiang, Leyi Wei, Yinan Shen, Pengwei Xing, Ran Su, Wenying He and Prayag Tiwari. Their work appears in journals such as Briefings in Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Frontiers in Genetics, IEEE Journal of Biomedical and Health Informatics and BMC Genomics.

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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