Xiaorui Su

1.7k total citations
43 papers, 1.0k citations indexed

About

Xiaorui Su is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Xiaorui Su has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 19 papers in Computational Theory and Mathematics and 14 papers in Cancer Research. Recurrent topics in Xiaorui Su's work include Computational Drug Discovery Methods (19 papers), Bioinformatics and Genomic Networks (18 papers) and Cancer-related molecular mechanisms research (12 papers). Xiaorui Su is often cited by papers focused on Computational Drug Discovery Methods (19 papers), Bioinformatics and Genomic Networks (18 papers) and Cancer-related molecular mechanisms research (12 papers). Xiaorui Su collaborates with scholars based in China, United States and Hong Kong. Xiaorui Su's co-authors include Bo-Wei Zhao, Lun Hu, Zhu‐Hong You, Pengwei Hu, Lei Wang, Leon Wong, Yue Yang, Guodong Li, Lei Wang and Yu‐An Huang and has published in prestigious journals such as Bioinformatics, Scientific Reports and Life Sciences.

In The Last Decade

Xiaorui Su

40 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
Xiaorui Su China 18 769 549 156 144 113 43 1.0k
Xiang Yue China 15 772 1.0× 514 0.9× 332 2.1× 144 1.0× 66 0.6× 40 1.2k
Chee-Keong Kwoh Singapore 17 1.2k 1.6× 744 1.4× 224 1.4× 120 0.8× 118 1.0× 37 1.6k
Shuting Jin China 14 507 0.7× 357 0.7× 88 0.6× 69 0.5× 139 1.2× 31 739
Petteri Hintsanen Finland 10 507 0.7× 366 0.7× 48 0.3× 92 0.6× 122 1.1× 13 696
Hai-Cheng Yi China 17 804 1.0× 362 0.7× 105 0.7× 248 1.7× 79 0.7× 39 1000
Xinbin Zhao China 10 735 1.0× 525 1.0× 57 0.4× 67 0.5× 143 1.3× 18 1.0k
Kexin Huang United States 18 1.1k 1.5× 960 1.7× 397 2.5× 54 0.4× 380 3.4× 43 1.8k
Xiangzheng Fu China 21 1.1k 1.4× 325 0.6× 124 0.8× 323 2.2× 98 0.9× 84 1.3k
Ali Ezzat Singapore 6 574 0.7× 521 0.9× 64 0.4× 76 0.5× 130 1.2× 7 679

Countries citing papers authored by Xiaorui Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaorui Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaorui Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaorui Su. A scholar is included among the top collaborators of Xiaorui Su 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 Xiaorui Su. Xiaorui Su 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.
Li, Guodong, Bo-Wei Zhao, Xiaorui Su, et al.. (2025). Capturing short-range and long-range dependencies of nucleotides for identifying RNA N6-methyladenosine modification sites. Computers in Biology and Medicine. 186. 109625–109625.
2.
Li, Guodong, Yue Yang, Dongxu Li, et al.. (2025). A bijective inference network for interpretable identification of RNA N 6 -methyladenosine modification sites. Pattern Recognition. 164. 111541–111541. 2 indexed citations
3.
Wei, Mengmeng, et al.. (2025). Integrating Transformer and Graph Attention Network for circRNA-miRNA Interaction Prediction. IEEE Journal of Biomedical and Health Informatics. 29(8). 6105–6113. 5 indexed citations
4.
Li, Dongxu, et al.. (2025). DeepHIV: A Sequence-Based Deep Learning Model for Predicting HIV-1 Protease Cleavage Sites. PubMed. 22(6). 3557–3563. 2 indexed citations
5.
Yuan, F.T., Zhiwei He, Xiaorui Su, et al.. (2025). Post-treatment adverse events ranking in targeted immunotherapy for hepatocellular carcinoma: A network meta-analysis based on risk probability assessment. Critical Reviews in Oncology/Hematology. 211. 104737–104737.
6.
Zhao, Bo-Wei, Xiaorui Su, Dongxu Li, et al.. (2024). Regulation-aware graph learning for drug repositioning over heterogeneous biological network. Information Sciences. 686. 121360–121360. 46 indexed citations
7.
Zhao, Bo-Wei, Xiaorui Su, Yue Yang, et al.. (2024). Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network. IEEE Journal of Biomedical and Health Informatics. 28(7). 4281–4294. 22 indexed citations
8.
Li, Guodong, Bo-Wei Zhao, Xiaorui Su, et al.. (2024). Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering. IEEE Journal of Biomedical and Health Informatics. 28(4). 2362–2372. 39 indexed citations
9.
Zhao, Bo-Wei, Xiaorui Su, Yue Yang, et al.. (2024). A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions. Computational and Structural Biotechnology Journal. 23. 2924–2933. 28 indexed citations
10.
Li, Guodong, Bo-Wei Zhao, Xiaorui Su, et al.. (2024). Learning Sequential and Structural Dependencies Between Nucleotides for RNA N6-Methyladenosine Site Identification. IEEE/CAA Journal of Automatica Sinica. 11(10). 2123–2134. 1 indexed citations
11.
Wang, Sile, Xiaorui Su, Bo-Wei Zhao, et al.. (2023). An Improved Graph Isomorphism Network for Accurate Prediction of Drug–Drug Interactions. Mathematics. 11(18). 3990–3990. 6 indexed citations
12.
Ren, Yupeng, Yuxuan Li, Junfeng Deng, et al.. (2023). Lnc-ZEB2-19 Inhibits the Progression and Lenvatinib Resistance of Hepatocellular Carcinoma by Attenuating the NF-κB Signaling Pathway through the TRA2A/RSPH14 Axis. International Journal of Biological Sciences. 19(12). 3678–3693. 12 indexed citations
13.
Li, Dongxu, Peng Zhou, Bo-Wei Zhao, et al.. (2023). Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks. BMC Bioinformatics. 24(1). 451–451. 1 indexed citations
14.
Yang, Yue, Xiaorui Su, Bo-Wei Zhao, et al.. (2023). Fuzzy-Based Deep Attributed Graph Clustering. IEEE Transactions on Fuzzy Systems. 32(4). 1951–1964. 63 indexed citations
15.
Zhao, Bo-Wei, Lei Wang, Pengwei Hu, et al.. (2023). Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning. IEEE Transactions on Emerging Topics in Computing. 12(1). 163–176. 70 indexed citations
16.
Zhao, Bo-Wei, et al.. (2022). A geometric deep learning framework for drug repositioning over heterogeneous information networks. Briefings in Bioinformatics. 23(6). 82 indexed citations
17.
Su, Xiaorui, Pengwei Hu, Hai-Cheng Yi, Zhu‐Hong You, & Lun Hu. (2022). Predicting Drug-Target Interactions Over Heterogeneous Information Network. IEEE Journal of Biomedical and Health Informatics. 27(1). 562–572. 40 indexed citations
18.
Wang, Lei, Leon Wong, Zhengwei Li, et al.. (2022). A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction. Briefings in Bioinformatics. 23(5). 35 indexed citations
19.
Wang, Lei, Leon Wong, Zhu‐Hong You, et al.. (2022). NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction. IEEE Journal of Biomedical and Health Informatics. 26(10). 5075–5084. 26 indexed citations
20.
Su, Xiaorui, Zhu‐Hong You, Lei Wang, et al.. (2021). SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning. Applied Soft Computing. 111. 107831–107831. 23 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xiang Yue Breakdown of academic impact, for papers by Chee-Keong Kwoh Breakdown of academic impact, for papers by Shuting Jin Breakdown of academic impact, for papers by Petteri Hintsanen Breakdown of academic impact, for papers by Hai-Cheng Yi Breakdown of academic impact, for papers by Xinbin Zhao Breakdown of academic impact, for papers by Kexin Huang Breakdown of academic impact, for papers by Xiangzheng Fu Breakdown of academic impact, for papers by Ali Ezzat
Rankless by CCL
2026