Minzhu Xie

716 total citations
38 papers, 463 citations indexed

About

Minzhu Xie is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Minzhu Xie has authored 38 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Minzhu Xie's work include Gene expression and cancer classification (15 papers), Bioinformatics and Genomic Networks (11 papers) and Genetic Associations and Epidemiology (9 papers). Minzhu Xie is often cited by papers focused on Gene expression and cancer classification (15 papers), Bioinformatics and Genomic Networks (11 papers) and Genetic Associations and Epidemiology (9 papers). Minzhu Xie collaborates with scholars based in China, United States and Singapore. Minzhu Xie's co-authors include Tao Jiang, Jianxin Wang, Jing Li, Jiancheng Zhong, Wei Peng, Jiahong Yang, Xiwei Tang, Jianer Chen, Shiru Li and Qiu Xiao and has published in prestigious journals such as Bioinformatics, IEEE Access and BMC Bioinformatics.

In The Last Decade

Minzhu Xie

34 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minzhu Xie China 11 313 149 59 57 41 38 463
Bin Duan China 11 534 1.7× 51 0.3× 20 0.3× 52 0.9× 40 1.0× 19 631
Olivier Périn France 7 354 1.1× 50 0.3× 31 0.5× 70 1.2× 44 1.1× 14 578
Chris J. Needham United Kingdom 11 432 1.4× 70 0.5× 89 1.5× 17 0.3× 93 2.3× 14 618
Yuri Pirola Italy 10 223 0.7× 75 0.5× 15 0.3× 31 0.5× 64 1.6× 30 321
Jared Flatow United States 9 501 1.6× 82 0.6× 40 0.7× 38 0.7× 59 1.4× 10 661
Krishna Kumar Kandaswamy Germany 14 463 1.5× 69 0.5× 72 1.2× 15 0.3× 31 0.8× 24 625
Stefan Maetschke Australia 14 493 1.6× 31 0.2× 63 1.1× 20 0.4× 63 1.5× 28 756
Antoine Bodein Canada 6 310 1.0× 45 0.3× 26 0.4× 64 1.1× 37 0.9× 14 481
Ting Hu United States 12 204 0.7× 150 1.0× 66 1.1× 15 0.3× 124 3.0× 32 416
Cheng-Yan Kao Taiwan 11 254 0.8× 24 0.2× 76 1.3× 22 0.4× 29 0.7× 14 382

Countries citing papers authored by Minzhu Xie

Since Specialization
Citations

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

Fields of papers citing papers by Minzhu Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minzhu Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Minzhu Xie. A scholar is included among the top collaborators of Minzhu Xie 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 Minzhu Xie. Minzhu Xie 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.
Xie, Minzhu, et al.. (2025). CFRA-Net: Fusing coarse-to-fine refinement and reverse attention for lesion segmentation in medical images. Biomedical Signal Processing and Control. 109. 107997–107997.
2.
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Xie, Minzhu, et al.. (2024). Multi-view contrastive clustering for cancer subtyping using fully and weakly paired multi-omics data. Methods. 232. 1–8. 2 indexed citations
4.
Xie, Minzhu, et al.. (2024). Polypharmacy side effect prediction based on semi-implicit graph variational auto-encoder. Journal of Bioinformatics and Computational Biology. 22(4). 2450020–2450020. 1 indexed citations
5.
Xie, Minzhu, et al.. (2024). DrugDoctor: enhancing drug recommendation in cold-start scenario via visit-level representation learning and training. Briefings in Bioinformatics. 25(6). 1 indexed citations
6.
Xie, Minzhu, et al.. (2024). Subtype-MGTP: a cancer subtype identification framework based on multi-omics translation. Bioinformatics. 40(6). 3 indexed citations
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Xie, Minzhu, et al.. (2023). LDAEXC: LncRNA–Disease Associations Prediction with Deep Autoencoder and XGBoost Classifier. Interdisciplinary Sciences Computational Life Sciences. 15(3). 439–451. 10 indexed citations
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Xie, Minzhu, et al.. (2023). LPI-IBWA: Predicting lncRNA-protein interactions based on an improved Bi-Random walk algorithm. Methods. 220. 98–105. 1 indexed citations
11.
Xie, Minzhu, et al.. (2022). Drug response prediction using graph representation learning and Laplacian feature selection. BMC Bioinformatics. 23(S8). 532–532. 3 indexed citations
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Zhong, Jiancheng, et al.. (2022). DNRLCNN: A CNN Framework for Identifying MiRNA–Disease Associations Using Latent Feature Matrix Extraction with Positive Samples. Interdisciplinary Sciences Computational Life Sciences. 14(2). 607–622. 5 indexed citations
14.
Xie, Minzhu, et al.. (2022). Predict potential miRNA-disease associations based on bounded nuclear norm regularization. Frontiers in Genetics. 13. 978975–978975. 3 indexed citations
15.
Chen, Hao, et al.. (2021). DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms. BMC Bioinformatics. 22(1). 24–24. 18 indexed citations
16.
Li, Shiru, et al.. (2019). A Novel Approach Based on Bipartite Network Recommendation and KATZ Model to Predict Potential Micro-Disease Associations. Frontiers in Genetics. 10. 1147–1147. 19 indexed citations
17.
Zhong, Jiancheng, et al.. (2018). XGBFEMF: An XGBoost-Based Framework for Essential Protein Prediction. IEEE Transactions on NanoBioscience. 17(3). 243–250. 107 indexed citations
18.
Ding, Xiaojun, Jianxin Wang, Alex Zelikovsky, et al.. (2014). Searching High-Order SNP Combinations for Complex Diseases Based on Energy Distribution Difference. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(3). 695–704. 15 indexed citations
19.
Xie, Minzhu, Jing Li, & Tao Jiang. (2010). Accurate HLA type inference using a weighted similarity graph. BMC Bioinformatics. 11(S11). S10–S10. 21 indexed citations
20.
Xie, Minzhu. (1993). All Admissible Linear Estimates of the Mean Matrix. Journal of Multivariate Analysis. 44(2). 220–226. 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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