Junlin Xu

1.2k total citations
53 papers, 743 citations indexed

About

Junlin Xu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Junlin Xu has authored 53 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 13 papers in Cancer Research. Recurrent topics in Junlin Xu's work include Computational Drug Discovery Methods (15 papers), Cancer-related molecular mechanisms research (13 papers) and Machine Learning in Bioinformatics (12 papers). Junlin Xu is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Cancer-related molecular mechanisms research (13 papers) and Machine Learning in Bioinformatics (12 papers). Junlin Xu collaborates with scholars based in China, Macao and United States. Junlin Xu's co-authors include Yajie Meng, Jialiang Yang, Lijun Cai, Xianfang Tang, Geng Tian, Wen Zhu, Changcheng Lu, Bo Liao, Min Jin and Lihong Peng and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Junlin Xu

46 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junlin Xu China 17 516 214 187 77 47 53 743
Jianbo Fu China 17 806 1.6× 185 0.9× 223 1.2× 90 1.2× 53 1.1× 28 1.2k
Len Trigg New Zealand 5 735 1.4× 178 0.8× 100 0.5× 105 1.4× 26 0.6× 8 1.1k
Minjie Mou China 14 664 1.3× 123 0.6× 284 1.5× 43 0.6× 46 1.0× 30 941
Jongsun Jung South Korea 12 413 0.8× 65 0.3× 134 0.7× 49 0.6× 69 1.5× 25 726
Zhaorong Li China 12 430 0.8× 87 0.4× 171 0.9× 42 0.5× 27 0.6× 17 603
Zhaochun Xu China 21 1.6k 3.2× 175 0.8× 143 0.8× 34 0.4× 90 1.9× 54 1.9k
Xiangzheng Fu China 21 1.1k 2.1× 323 1.5× 325 1.7× 124 1.6× 14 0.3× 84 1.3k
Joshua A. Bittker United States 16 589 1.1× 127 0.6× 140 0.7× 22 0.3× 56 1.2× 31 909
Pengwei Xing China 13 1.2k 2.3× 235 1.1× 136 0.7× 91 1.2× 12 0.3× 20 1.4k
Yahui Long China 16 953 1.8× 151 0.7× 222 1.2× 96 1.2× 32 0.7× 31 1.1k

Countries citing papers authored by Junlin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Junlin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junlin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Junlin Xu. A scholar is included among the top collaborators of Junlin Xu 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 Junlin Xu. Junlin Xu 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.
Jin, Shuting, Xiangrong Liu, Junlin Xu, et al.. (2025). Adaptive symmetry-based adversarial perturbation augmentation for molecular graph representations with dual-fusion attention information. Information Fusion. 120. 103062–103062.
2.
Tang, Xianfang, Yajie Meng, Zhaojing Wang, et al.. (2025). CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction. BMC Bioinformatics. 26(1). 5–5. 2 indexed citations
3.
Meng, Yajie, Yi Wang, Xinrong Hu, et al.. (2025). Adaptive debiasing learning for drug repositioning. Journal of Biomedical Informatics. 167. 104843–104843. 2 indexed citations
4.
Liu, Jian K., Feifei Cui, Junlin Xu, et al.. (2025). NeuroCL: A deep learning approach for identifying neuropeptides based on contrastive learning. Analytical Biochemistry. 705. 115920–115920.
5.
Wen, Q. G., Junlin Xu, Yajie Meng, et al.. (2025). DeepMaT: Prediction of Target Peptide Classification and Cleavage Site by Combining Mamba2 and Multiple Attention Mechanisms. Journal of Chemical Information and Modeling. 65(19). 10011–10024. 1 indexed citations
6.
Wang, Jiajing, Junlin Xu, Meng Yu, et al.. (2025). CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction. Neural Networks. 195. 108261–108261.
7.
Xu, Junlin, et al.. (2025). CAMIL: channel attention-based multiple instance learning for whole slide image classification. Bioinformatics. 41(2). 3 indexed citations
10.
Meng, Yajie, Zhuang Zhang, Xianfang Tang, et al.. (2025). FusionMVSA: Multi-View Fusion Strategy With Self-Attention for Enhancing Drug Recommendation. IEEE Journal of Biomedical and Health Informatics. 30(2). 1746–1758.
11.
Cao, Zhang, Jing Xie, Junlin Xu, & Bo Li. (2025). Cross-Modal Interaction-Aware Progressive Fusion Network for Drug–Target Interaction Prediction. Journal of Chemical Information and Modeling. 65(19). 10713–10726.
12.
Zeng, Pan, Bofei Zhang, Yajie Meng, et al.. (2024). Drug repositioning based on tripartite cross-network embedding and graph convolutional network. Expert Systems with Applications. 252. 124152–124152. 12 indexed citations
14.
Wang, Yi, Yajie Meng, Xianfang Tang, et al.. (2024). Automatic collaborative learning for drug repositioning. Engineering Applications of Artificial Intelligence. 139. 109653–109653. 8 indexed citations
15.
Tang, Xianfang, Changcheng Lu, Yajie Meng, et al.. (2023). Enhancing Drug Repositioning Through Local Interactive Learning With Bilinear Attention Networks. IEEE Journal of Biomedical and Health Informatics. 29(3). 1644–1655. 24 indexed citations
16.
You, Xiong, et al.. (2022). Graph neural network and multi-data heterogeneous networks for microbe-disease prediction. Frontiers in Microbiology. 13. 1077111–1077111. 7 indexed citations
17.
Meng, Yajie, Min Jin, Xianfang Tang, & Junlin Xu. (2021). Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study. Applied Soft Computing. 103. 107135–107135. 53 indexed citations
18.
Yao, Yuhua, et al.. (2020). IMDAILM: Inferring miRNA-Disease Association by Integrating lncRNA and miRNA Data. IEEE Access. 8. 16517–16527. 11 indexed citations
19.
Li, Manzhi, Hongtao Wang, Haixia Long, et al.. (2019). Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding. IEEE Access. 7. 120616–120625. 7 indexed citations
20.
Xu, Junlin, et al.. (2018). Effect of light quality on leaf photosynthetic characteristics and fruit quality of peach (Prunus persica L. Batch). Photosynthetica. 56(4). 1113–1122. 22 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

Rankless by CCL
2026