Fei Guo

7.3k total citations
278 papers, 5.3k 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 278 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Molecular Biology, 40 papers in Computational Theory and Mathematics and 30 papers in Cancer Research. Recurrent topics in Fei Guo's work include Machine Learning in Bioinformatics (71 papers), Computational Drug Discovery Methods (40 papers) and RNA and protein synthesis mechanisms (32 papers). Fei Guo is often cited by papers focused on Machine Learning in Bioinformatics (71 papers), Computational Drug Discovery Methods (40 papers) and RNA and protein synthesis mechanisms (32 papers). Fei Guo collaborates with scholars based in China, United States and Hong Kong. Fei Guo's co-authors include Jijun Tang, Yijie Ding, Quan Zou, Limin Jiang, Leyi Wei, Yinan Shen, Pengwei Xing, Ran Su, Wenying He and Prayag Tiwari and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Fei Guo

263 papers receiving 5.2k 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 38 3.7k 820 697 357 277 278 5.3k
Jijun Tang China 42 4.7k 1.2× 976 1.2× 441 0.6× 503 1.4× 91 0.3× 231 5.8k
Lei Chen China 48 5.4k 1.4× 1.4k 1.7× 1.2k 1.7× 455 1.3× 314 1.1× 338 8.1k
Shinn‐Ying Ho Taiwan 40 2.1k 0.6× 537 0.7× 423 0.6× 645 1.8× 120 0.4× 163 4.6k
Bin Liu China 50 7.7k 2.1× 807 1.0× 1.2k 1.7× 428 1.2× 121 0.4× 165 8.9k
Jing Tang China 41 4.1k 1.1× 2.0k 2.5× 382 0.5× 336 0.9× 350 1.3× 206 7.5k
Hui Ding China 51 7.5k 2.0× 759 0.9× 873 1.3× 224 0.6× 91 0.3× 135 8.2k
Jiangning Song Australia 57 8.0k 2.1× 1.0k 1.2× 523 0.8× 412 1.2× 244 0.9× 329 10.3k
Balachandran Manavalan South Korea 46 5.0k 1.3× 671 0.8× 394 0.6× 263 0.7× 262 0.9× 130 6.3k
Markus W. Covert United States 38 5.6k 1.5× 219 0.3× 535 0.8× 209 0.6× 252 0.9× 74 8.0k
Yijie Ding China 37 3.4k 0.9× 1.2k 1.4× 434 0.6× 337 0.9× 67 0.2× 181 4.3k

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.
Wang, Pengyu, Fei Guo, Hao Pei, et al.. (2025). Magnetic refrigeration properties of Gd20Tb20Er20Cu20M20 (M=Fe, Co) high-entropy metallic glasses with refrigeration temperature span of exceeding 130 K. Journal of Alloys and Compounds. 1014. 178785–178785. 2 indexed citations
2.
Li, Pu, Yuqing Qian, Junhai Xu, Yijie Ding, & Fei Guo. (2025). Prediction of ncRNA-Disease Association Based on Correntropy Induced Loss Matrix Factorization Model. PubMed. 22(4). 1861–1874. 1 indexed citations
3.
Zhang, Huibin, Xin Yan, Yilin Zhang, et al.. (2024). Structure-involved critical alloy design strategy for enhancing antioxidation performance of porous Fe-Cr-Al materials. Corrosion Science. 235. 112173–112173. 2 indexed citations
4.
Wang, Pengyu, Juan Cheng, Hao Pei, et al.. (2024). Magnetocaloric effect and applied refrigeration performance of La(Fe,Si)13-based compounds. Intermetallics. 169. 108299–108299. 3 indexed citations
5.
Jing, Taile, Fei Guo, Zongqin Zhang, et al.. (2024). Robot-assisted single-port retroperitoneal partial nephrectomy with a novel purpose-built single-port robotic system with deformable surgical instruments. World Journal of Urology. 42(1). 134–134. 8 indexed citations
6.
Fu, Fang, Xin Yang, Ru Li, et al.. (2024). Single-cell RNA sequencing reveals cellular and molecular landscape of fetal cystic hygroma. BMC Medical Genomics. 17(1). 96–96. 1 indexed citations
7.
Guo, Fei, et al.. (2024). Prediction of Protein–Protein Interactions Based on Integrating Deep Learning and Feature Fusion. International Journal of Molecular Sciences. 25(11). 5820–5820. 9 indexed citations
8.
Liu, Lei, Tingying Lei, Fei Guo, et al.. (2024). Prenatal diagnosis of the recurrent 1q21.1 microdeletions in fetuses with ultrasound anomalies and review of the literature. Frontiers in Genetics. 15. 1448341–1448341. 1 indexed citations
9.
10.
Li, Yingqi, You Li, Meihui Zhang, et al.. (2024). Transcriptomic profiling across human serotonin neuron differentiation via the FEV reporter system. Stem Cell Research & Therapy. 15(1). 107–107. 1 indexed citations
11.
Ding, Yijie, et al.. (2023). Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(5). 3033–3043. 36 indexed citations
12.
Tian, Xu, Hanhe Lin, S.J. McKenna, et al.. (2023). Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(1). 57–68. 11 indexed citations
13.
Xu, Junhai, et al.. (2022). A multi-scale multi-model deep neural network via ensemble strategy on high-throughput microscopy image for protein subcellular localization. Expert Systems with Applications. 212. 118744–118744. 13 indexed citations
14.
Ding, Yijie, et al.. (2021). Inferring human microbe–drug associations via multiple kernel fusion on graph neural network. Knowledge-Based Systems. 238. 107888–107888. 38 indexed citations
15.
Ding, Yijie, Jijun Tang, & Fei Guo. (2018). Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning. IEEE Journal of Biomedical and Health Informatics. 23(6). 2619–2632. 84 indexed citations
16.
Guo, Yafei, et al.. (2018). 茶树1-脱氧-D-木酮糖-5-磷酸合成酶基因 CsDXS1 的克隆与表达分析. 34(1). 144. 1 indexed citations
17.
Z, Liu, et al.. (2015). High expression of UBD correlates with epirubicin resistance and indicates poor prognosis in triple-negative breast cancer. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Fu, Qiang, Guozhong Li, Yan Ren, et al.. (2015). Roles of p53 and ASF1A in the Reprogramming of Sheep Kidney Cells to Pluripotent Cells. Cellular Reprogramming. 17(6). 441–452. 7 indexed citations
19.
Fu, Qiang, Hui Zhang, Yan Ren, et al.. (2013). Autophagy during early stages contributes to bovine viral diarrhea virus replication in MDBK cells. Journal of Basic Microbiology. 54(10). 1044–1052. 19 indexed citations
20.
Xiao, Zhu, et al.. (2011). Numerical simulation and experiment research of laser damage of porcelain insulator surface. 35(6). 844–848.

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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