Wei-Feng Guo

1.7k total citations
74 papers, 1.0k citations indexed

About

Wei-Feng Guo is a scholar working on Molecular Biology, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, Wei-Feng Guo has authored 74 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 11 papers in Plant Science and 9 papers in Computational Theory and Mathematics. Recurrent topics in Wei-Feng Guo's work include Bioinformatics and Genomic Networks (20 papers), Gene Regulatory Network Analysis (14 papers) and Gene expression and cancer classification (12 papers). Wei-Feng Guo is often cited by papers focused on Bioinformatics and Genomic Networks (20 papers), Gene Regulatory Network Analysis (14 papers) and Gene expression and cancer classification (12 papers). Wei-Feng Guo collaborates with scholars based in China, Japan and United Kingdom. Wei-Feng Guo's co-authors include Shao‐Wu Zhang, Luonan Chen, Tao Zeng, Xianlong Zhang, Xin He, Longfu Zhu, Ze‐Gang Wei, Fei Liu, Jing Liang and Qianqian Shi and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Wei-Feng Guo

64 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei-Feng Guo China 17 652 272 113 100 63 74 1.0k
Xinyue Liu China 22 834 1.3× 172 0.6× 40 0.4× 80 0.8× 267 4.2× 92 1.6k
Tai Wang China 20 540 0.8× 220 0.8× 122 1.1× 21 0.2× 9 0.1× 58 1.2k
Zhichao Liu China 17 320 0.5× 96 0.4× 87 0.8× 25 0.3× 70 1.1× 46 985
Xue Jiang China 18 513 0.8× 83 0.3× 18 0.2× 112 1.1× 49 0.8× 55 1.1k
Jakub Tomek United Kingdom 16 399 0.6× 79 0.3× 20 0.2× 66 0.7× 95 1.5× 37 1.1k
Xiong Li China 15 258 0.4× 62 0.2× 69 0.6× 109 1.1× 144 2.3× 54 717
Xiaoli Wang China 23 1.1k 1.6× 189 0.7× 20 0.2× 205 2.0× 131 2.1× 84 1.8k
Lijun Cai China 23 1.2k 1.8× 121 0.4× 220 1.9× 442 4.4× 128 2.0× 61 1.6k
Yu Geng China 22 715 1.1× 90 0.3× 15 0.1× 199 2.0× 50 0.8× 119 1.6k
Steven Wang United States 16 342 0.5× 45 0.2× 48 0.4× 71 0.7× 139 2.2× 40 1.0k

Countries citing papers authored by Wei-Feng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Feng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei-Feng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Feng Guo. A scholar is included among the top collaborators of Wei-Feng 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 Wei-Feng Guo. Wei-Feng 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.
Sun, Yingying, et al.. (2025). Chaihu-longgu-muli decoction exerts antidepressant effects in rats by regulating the NLRP3 pathway. Pharmacological Research - Modern Chinese Medicine. 15. 100617–100617.
3.
Han, Jae‐Hung, Jianfeng Lu, & Wei-Feng Guo. (2025). VARIATION IN LEAF PHENOTYPIC TRAITS AND ADAPTATION STRATEGIES OF FIVE RHODODENDRON SPECIES IN THE SEJILA MOUNTAIN. Applied Ecology and Environmental Research. 23(2). 3741–3755.
4.
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Zhao, Wenshan, Han Cheng, Ying Bi, et al.. (2024). Label reusing based graph neural network for unbalanced classification of personalized driver genes in cancer. Applied Soft Computing. 159. 111658–111658.
6.
Qiao, Kangjia, et al.. (2024). Constrained Multi-objective Optimization-Based Temporal Network Observability for Biomarker Identification of Individual Patients. IEEE Journal of Biomedical and Health Informatics. PP. 1–12. 8 indexed citations
7.
Liang, Jing, Ying Bi, Han Cheng, et al.. (2024). A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease. IEEE Transactions on Evolutionary Computation. 29(4). 1400–1418. 1 indexed citations
8.
Hu, Wei, et al.. (2024). STC-UNet: renal tumor segmentation based on enhanced feature extraction at different network levels. BMC Medical Imaging. 24(1). 179–179. 4 indexed citations
9.
Liang, Jing, et al.. (2023). Multiobjective Optimization-Based Network Control Principles for Identifying Personalized Drug Targets With Cancer. IEEE Transactions on Evolutionary Computation. 28(5). 1322–1335. 8 indexed citations
10.
11.
Liang, Jing, Zongwei Li, Caitong Yue, et al.. (2022). Multi-modal optimization to identify personalized biomarkers for disease prediction of individual patients with cancer. Briefings in Bioinformatics. 23(5). 10 indexed citations
12.
Guo, Wei-Feng, Xiangtian Yu, Qianqian Shi, et al.. (2021). Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis. PLoS Computational Biology. 17(5). e1008962–e1008962. 23 indexed citations
13.
Li, Ruiming, Chun‐Yu Lin, Wei-Feng Guo, & Tatsuya Akutsu. (2021). Weighted minimum feedback vertex sets and implementation in human cancer genes detection. BMC Bioinformatics. 22(1). 143–143. 4 indexed citations
14.
Zhang, Qingfeng, Yuhua Shi, Wei-Feng Guo, et al.. (2021). qPTMplants: an integrative database of quantitative post-translational modifications in plants. Nucleic Acids Research. 50(D1). D1491–D1499. 21 indexed citations
15.
16.
Guo, Wei-Feng, Shao‐Wu Zhang, Jian Feng, et al.. (2020). Network controllability-based algorithm to target personalized driver genes for discovering combinatorial drugs of individual patients. Nucleic Acids Research. 49(7). e37–e37. 37 indexed citations
17.
Guo, Wei-Feng, et al.. (2019). Relationship of stage development of cotton bolls with yield and quality in island cotton. ACTA AGRONOMICA SINICA. 46(2). 300–306. 2 indexed citations
18.
Guo, Wei-Feng, Shao‐Wu Zhang, Tao Zeng, et al.. (2019). A novel network control model for identifying personalized driver genes in cancer. PLoS Computational Biology. 15(11). e1007520–e1007520. 60 indexed citations
19.
Chen, Tuo, et al.. (2017). Effect of inhibiting P38MAPK on inflammatory factors and cell apoptosis during flap ischemia-reperfusion injury. SHILAP Revista de lepidopterología.
20.
Guo, Wei-Feng, Jin Li, Yuhuan Miao, et al.. (2016). An ethylene response-related factor, GbERF1-like, from Gossypium barbadense improves resistance to Verticillium dahliae via activating lignin synthesis. Plant Molecular Biology. 91(3). 305–318. 122 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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