Xianjun Shen

492 total citations
54 papers, 304 citations indexed

About

Xianjun Shen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Xianjun Shen has authored 54 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 11 papers in Artificial Intelligence. Recurrent topics in Xianjun Shen's work include Bioinformatics and Genomic Networks (31 papers), Machine Learning in Bioinformatics (16 papers) and Computational Drug Discovery Methods (16 papers). Xianjun Shen is often cited by papers focused on Bioinformatics and Genomic Networks (31 papers), Machine Learning in Bioinformatics (16 papers) and Computational Drug Discovery Methods (16 papers). Xianjun Shen collaborates with scholars based in China and United States. Xianjun Shen's co-authors include Jincai Yang, Xingpeng Jiang, Xiaohua Hu, Tingting He, Tao Zhang, Limin Yu, Caixia Chen, Weizhong Zhao, Yao Chen and Jingnan Liu and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Methods.

In The Last Decade

Xianjun Shen

49 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianjun Shen China 10 170 78 62 40 18 54 304
Huang Cheng-bing China 4 192 1.1× 48 0.6× 56 0.9× 33 0.8× 34 1.9× 10 369
Shubhra Sankar Ray India 12 202 1.2× 106 1.4× 184 3.0× 42 1.1× 34 1.9× 43 451
Marco Frasca Italy 11 186 1.1× 55 0.7× 102 1.6× 42 1.1× 22 1.2× 31 369
Haitao Fu China 6 202 1.2× 170 2.2× 36 0.6× 41 1.0× 35 1.9× 28 313
Haihong Yu China 10 61 0.4× 27 0.3× 67 1.1× 33 0.8× 13 0.7× 22 197
Bo Liao China 11 171 1.0× 83 1.1× 70 1.1× 12 0.3× 8 0.4× 16 317
Haixia Long China 9 71 0.4× 15 0.2× 74 1.2× 49 1.2× 8 0.4× 24 260
Xiaodong Duan China 10 109 0.6× 30 0.4× 43 0.7× 23 0.6× 58 3.2× 33 279
Nicoletta Dessì Italy 8 114 0.7× 17 0.2× 132 2.1× 62 1.6× 4 0.2× 30 290
Andrew Jones United States 4 104 0.6× 22 0.3× 51 0.8× 15 0.4× 26 1.4× 9 213

Countries citing papers authored by Xianjun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xianjun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianjun Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xianjun Shen. A scholar is included among the top collaborators of Xianjun Shen 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 Xianjun Shen. Xianjun Shen 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.
Yao, Wenjie, et al.. (2024). An Improved Framework for Drug-Side Effect Associations Prediction via Counterfactual Inference-Based Data Augmentation. IEEE Transactions on NanoBioscience. 23(4). 540–547.
2.
Zhao, Weizhong, et al.. (2023). An effective multi-task learning framework for drug repurposing based on graph representation learning. Methods. 218. 48–56. 2 indexed citations
3.
Li, Dandan, et al.. (2023). An Effective Model for Predicting Phage-Host Interactions Via Graph Embedding Representation Learning With Multi-Head Attention Mechanism. IEEE Journal of Biomedical and Health Informatics. 27(6). 3061–3071. 6 indexed citations
4.
Li, Dandan, et al.. (2023). Prediction of Drug–Disease Associations Based on Multi-Kernel Deep Learning Method in Heterogeneous Graph Embedding. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(1). 120–128. 4 indexed citations
5.
Zhao, Weizhong, Xianjun Shen, Xingpeng Jiang, et al.. (2023). Improving drug–drug interactions prediction with interpretability via meta-path-based information fusion. Briefings in Bioinformatics. 24(2). 10 indexed citations
6.
7.
8.
Zhao, Weizhong, et al.. (2022). A Novel Drug Repositioning Model Based on Heterogeneous Graph Convolutional Network via Multi-task Learning. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 36. 633–638. 2 indexed citations
9.
Yu, Limin, et al.. (2020). Three-Layer Heterogeneous Network Combined With Unbalanced Random Walk for miRNA-Disease Association Prediction. Frontiers in Genetics. 10. 1316–1316. 17 indexed citations
10.
Shen, Xianjun, et al.. (2018). Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data. BMC Bioinformatics. 19(S20). 505–505. 5 indexed citations
11.
Shen, Xianjun, et al.. (2018). Correlation between human leukocyte antigen-G expression and clinical parameters in oral squamous cell carcinoma. Indian Journal of Cancer. 55(4). 340–340. 10 indexed citations
12.
Shen, Xianjun, Yao Chen, Xingpeng Jiang, et al.. (2017). Prioritizing disease-causing microbes based on random walking on the heterogeneous network. Methods. 124. 120–125. 12 indexed citations
13.
Shen, Xianjun, Xingpeng Jiang, Tingting He, et al.. (2017). Identifying protein complex by integrating characteristic of core-attachment into dynamic PPI network. PLoS ONE. 12(10). e0186134–e0186134. 7 indexed citations
14.
Shen, Xianjun, et al.. (2016). Mining Temporal Protein Complex Based on the Dynamic PIN Weighted with Connected Affinity and Gene Co-Expression. PLoS ONE. 11(4). e0153967–e0153967. 13 indexed citations
15.
Shen, Xianjun, et al.. (2016). Socialization Content and Adjustment Outcome: A Longitudinal Study of Chinese Employees Beginning Their Career. Social Behavior and Personality An International Journal. 44(1). 161–176. 3 indexed citations
16.
Shen, Xianjun, et al.. (2016). Identifying protein complexes based on brainstorming strategy. Methods. 110. 44–53. 3 indexed citations
17.
Shen, Xianjun, et al.. (2015). Dynamic identifying protein functional modules based on adaptive density modularity in protein-protein interaction networks. BMC Bioinformatics. 16(S12). S5–S5. 5 indexed citations
18.
Hu, Xiaohua, et al.. (2014). Prioritizing disease-causing genes based on network diffusion and rank concordance. 242–247. 6 indexed citations
19.
20.
Shen, Xianjun. (2008). Research of searching strategy in topic crawler using dynamical particle swarm optimization. Jisuanji yingyong yanjiu. 1 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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