Youjun Xu

2.4k total citations · 1 hit paper
20 papers, 1.6k citations indexed

About

Youjun Xu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Youjun Xu has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 7 papers in Materials Chemistry. Recurrent topics in Youjun Xu's work include Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (6 papers) and Protein Structure and Dynamics (5 papers). Youjun Xu is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (6 papers) and Protein Structure and Dynamics (5 papers). Youjun Xu collaborates with scholars based in China, United States and India. Youjun Xu's co-authors include Luhua Lai, Jianfeng Pei, Shiwei Wang, Shuaishi Gao, Fangjin Chen, Weilin Zhang, Kangjie Lin, Ziwei Dai, Ke Tang and Qi Ouyang and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Youjun Xu

18 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction

2018 281 citations Youjun Xu, Shiwei Wang et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Youjun Xu China	13	873	849	446	139	119	20	1.6k
Daniel P. Russo United States	20	733 0.8×	509 0.6×	378 0.8×	104 0.7×	159 1.3×	36	1.5k
Ming Wen China	19	621 0.7×	1.0k 1.2×	237 0.5×	110 0.8×	181 1.5×	50	2.0k
Xutong Li China	20	1.2k 1.3×	1.1k 1.3×	715 1.6×	74 0.5×	113 0.9×	67	2.0k
Kimberley M. Zorn United States	22	672 0.8×	516 0.6×	255 0.6×	107 0.8×	84 0.7×	36	1.5k
Feisheng Zhong China	13	1.1k 1.3×	952 1.1×	671 1.5×	59 0.4×	157 1.3×	18	1.7k
Zhaoping Xiong China	13	1.1k 1.2×	828 1.0×	647 1.5×	90 0.6×	61 0.5×	22	1.6k
Thomas R. Lane United States	22	572 0.7×	549 0.6×	227 0.5×	93 0.7×	81 0.7×	68	1.5k
Jessica Vamathevan United Kingdom	11	845 1.0×	1.1k 1.3×	419 0.9×	67 0.5×	159 1.3×	18	2.3k
Dejun Jiang China	20	1.1k 1.3×	914 1.1×	634 1.4×	45 0.3×	89 0.7×	54	1.7k
Nikolaus Stiefl Switzerland	20	779 0.9×	742 0.9×	393 0.9×	57 0.4×	68 0.6×	43	1.5k

Countries citing papers authored by Youjun Xu

Since Specialization

Citations

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

Fields of papers citing papers by Youjun Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youjun Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Youjun Xu. A scholar is included among the top collaborators of Youjun 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 Youjun Xu. Youjun Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Congying, et al.. (2025). Unveiling optimal molecular features for hERG insights with automatic machine learning. Journal of Pharmaceutical Analysis. 15(12). 101411–101411.

Chu, Xiaoquan, Tanlin Sun, Qian Li, et al.. (2022). Prediction of liquid–liquid phase separating proteins using machine learning. BMC Bioinformatics. 23(1). 72–72. 112 indexed citations

Wang, Shiwei, Qi Sun, Youjun Xu, Jianfeng Pei, & Luhua Lai. (2021). A transferable deep learning approach to fast screen potential antiviral drugs against SARS-CoV-2. Briefings in Bioinformatics. 22(6). 37 indexed citations

Wang, Shiwei, et al.. (2021). Uncovering the Dominant Motion Modes of Allosteric Regulation Improves Allosteric Site Prediction. Journal of Chemical Information and Modeling. 62(1). 187–195. 23 indexed citations

Wang, Shiwei, Youjun Xu, Weilin Zhang, et al.. (2020). Transfer Learning for Drug Discovery. Journal of Medicinal Chemistry. 63(16). 8683–8694. 237 indexed citations

Lin, Kangjie, Youjun Xu, Jianfeng Pei, & Luhua Lai. (2020). Automatic retrosynthetic route planning using template-free models. Chemical Science. 11(12). 3355–3364. 145 indexed citations

Xu, Youjun, et al.. (2019). Efficient molecular encoders for virtual screening. Drug Discovery Today Technologies. 32-33. 19–27. 4 indexed citations

Li, Yu, Youjun Xu, Meiling Jiang, et al.. (2019). Self-Learning Perfect Optical Chirality via a Deep Neural Network. Physical Review Letters. 123(21). 213902–213902. 78 indexed citations

Xu, Youjun, Kangjie Lin, Shiwei Wang, et al.. (2019). Deep Learning for Molecular Generation. Future Medicinal Chemistry. 11(6). 567–597. 91 indexed citations

10.

Lv, Qingzhi, Ruoshi Zhang, Zimeng Yang, et al.. (2018). Prostate-Specific Membrane Antigen Targeted Therapy of Prostate Cancer Using a DUPA–Paclitaxel Conjugate. Molecular Pharmaceutics. 15(5). 1842–1852. 36 indexed citations

11.

Xu, Youjun, Shiwei Wang, Shuaishi Gao, et al.. (2018). CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction. Nucleic Acids Research. 46(W1). W374–W379. 281 indexed citations breakdown →

12.

Li, Xiang, Youjun Xu, Luhua Lai, & Jianfeng Pei. (2018). Prediction of Human Cytochrome P450 Inhibition Using a Multitask Deep Autoencoder Neural Network. Molecular Pharmaceutics. 15(10). 4336–4345. 96 indexed citations

13.

Xu, Youjun, Jianfeng Pei, & Luhua Lai. (2017). Molecular Graph Encoding Convolutional Neural Networks for Automatic Chemical Feature Extraction.. arXiv (Cornell University). 2 indexed citations

14.

Zhang, Xiaoling, et al.. (2017). NF-κB signaling and cell-fate decision induced by a fast-dissociating tumor necrosis factor mutant. Biochemical and Biophysical Research Communications. 489(3). 287–292. 6 indexed citations

15.

Xu, Youjun, Jianfeng Pei, & Luhua Lai. (2017). Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction. Journal of Chemical Information and Modeling. 57(11). 2672–2685. 172 indexed citations

16.

Xiao, Fei, Maohua Yang, Youjun Xu, & Wanwipa Vongsangnak. (2015). Comparisons of Prostate Cancer Inhibitors Abiraterone and TOK-001 Binding with CYP17A1 through Molecular Dynamics. Computational and Structural Biotechnology Journal. 13. 520–527. 14 indexed citations

17.

Xu, Youjun, Ziwei Dai, Fangjin Chen, et al.. (2015). Deep Learning for Drug-Induced Liver Injury. Journal of Chemical Information and Modeling. 55(10). 2085–2093. 261 indexed citations

18.

Xu, Youjun, et al.. (2014). Secure and Private Protocols for Server-less RFID Systems. International Journal of Control and Automation. 7(2). 131–142. 6 indexed citations

19.

Ouyang, Dantong, et al.. (2012). An Efficient RFID Authentication Protocol Supporting Tag Ownership Transfer. International Journal of Advancements in Computing Technology. 4(4). 244–253. 5 indexed citations

20.

Ouyang, Dantong, et al.. (2011). A BRS-based Approach for Modeling RFID Untraceability. International Journal of Advancements in Computing Technology. 3(11). 96–103. 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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