Guoxian Yu

4.2k total citations
158 papers, 2.7k citations indexed

About

Guoxian Yu is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guoxian Yu has authored 158 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 75 papers in Artificial Intelligence and 38 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guoxian Yu's work include Bioinformatics and Genomic Networks (51 papers), Machine Learning in Bioinformatics (40 papers) and Text and Document Classification Technologies (37 papers). Guoxian Yu is often cited by papers focused on Bioinformatics and Genomic Networks (51 papers), Machine Learning in Bioinformatics (40 papers) and Text and Document Classification Technologies (37 papers). Guoxian Yu collaborates with scholars based in China, United States and Saudi Arabia. Guoxian Yu's co-authors include Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, Maozu Guo, Guangyuan Fu, Yazhou Ren, Zili Zhang, Hailong Zhu, Guoji Zhang and Zhiwen Yu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Guoxian Yu

149 papers receiving 2.6k citations

Peers

Guoxian Yu
Yanjun Qi United States
Ao Li China
Lun Hu China
Suzanne E. Ybarra United States
Minghua Deng China
Francisco Tirado Spain
Chun‐Nan Hsu Taiwan
Ling‐Yun Wu China
Minghui Wang China
Lin Gao China
Yanjun Qi United States
Guoxian Yu
Citations per year, relative to Guoxian Yu Guoxian Yu (= 1×) peers Yanjun Qi

Countries citing papers authored by Guoxian Yu

Since Specialization
Citations

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

Fields of papers citing papers by Guoxian Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoxian Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Guoxian Yu. A scholar is included among the top collaborators of Guoxian Yu 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 Guoxian Yu. Guoxian Yu 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.
Yu, Guoxian, Jun Wang, Zhongmin Yan, et al.. (2025). Sophon: Byzantine-Robust Federated Learning via Dual Trust Mechanism. IEEE Transactions on Dependable and Secure Computing. 22(6). 5906–5917.
2.
Sun, Chuang, Jian Zhu, Jun Wang, et al.. (2025). ChromInSight: Revealing DNA Double‐Strand Breaks Through Chromatin Structural Insights With an Interpretable Graph Neural Network Framework. Advanced Science. 12(36). e04571–e04571. 1 indexed citations
3.
Yan, Zhongmin, et al.. (2025). Few-shot partial multi-label learning with credible non-candidate label. Information Sciences. 719. 122485–122485.
4.
Yu, Guoxian, et al.. (2024). Multiple clusterings: Recent advances and perspectives. Computer Science Review. 52. 100621–100621. 10 indexed citations
5.
Yang, Dezhi, et al.. (2024). Federated Causality Learning with Explainable Adaptive Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16308–16315. 5 indexed citations
6.
Yu, Guoxian, et al.. (2024). Semi-Asynchronous Online Federated Crowdsourcing. 99. 4180–4193. 2 indexed citations
7.
Wang, Jun, et al.. (2024). Herb-Target Interaction Prediction by Multiinstance Learning. IEEE Transactions on Artificial Intelligence. 6(5). 1184–1193. 1 indexed citations
8.
Sheng, Xiang-Rong, et al.. (2024). Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. 247–256. 2 indexed citations
9.
Zhao, Yunfeng, et al.. (2024). Personalized federated few-shot node classification. Science China Information Sciences. 68(1).
10.
Sheng, Xiang-Rong, et al.. (2023). Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction. 4981–4987. 4 indexed citations
11.
Su, Cong, Guoxian Yu, Jun Wang, et al.. (2023). Causality-Based Fair Multiple Decision by Response Functions. ACM Transactions on Knowledge Discovery from Data. 18(3). 1–23.
12.
Yu, Guoxian, Jun Wang, Yueyue Li, et al.. (2023). A multi-omics study to investigate the progression of the Correa pathway in gastric mucosa in the context of cirrhosis. Gut Pathogens. 15(1). 45–45. 3 indexed citations
13.
Wang, Jun, et al.. (2023). scMCs: a framework for single-cell multi-omics data integration and multiple clusterings. Bioinformatics. 39(4). 1–5. 22 indexed citations
14.
Guo, Maozu, et al.. (2023). HetFCM: functional co-module discovery by heterogeneous network co-clustering. Nucleic Acids Research. 52(3). e16–e16. 2 indexed citations
15.
Ren, Yazhou, et al.. (2021). Dual self-paced multi-view clustering. Neural Networks. 140. 184–192. 41 indexed citations
16.
Wang, Xin, et al.. (2021). EpiHNet: Detecting epistasis by heterogeneous molecule network. Methods. 198. 65–75. 3 indexed citations
17.
Wang, Jun, et al.. (2020). A Literature Review of Gene Function Prediction by Modeling Gene Ontology. Frontiers in Genetics. 11. 400–400. 64 indexed citations
18.
Guo, Maozu, et al.. (2019). Drug repositioning based on individual bi-random walks on a heterogeneous network. BMC Bioinformatics. 20(S15). 547–547. 19 indexed citations
19.
Yu, Guoxian, Hailong Zhu, Carlotta Domeniconi, & Maozu Guo. (2015). Integrating multiple networks for protein function prediction. BMC Systems Biology. 9(Suppl 1). S3–S3. 24 indexed citations
20.
Yu, Guoxian, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, & Zili Zhang. (2013). Protein function prediction by integrating multiple kernels. Own your potential (DEAKIN). 1869–1875. 14 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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