Youjun Xu

2.4k citations

20 papers · 1.6k indexed · 1 hit paper · h-index 13

Computational Theory and Mathematics top 0.5%
Molecular Biology top 10%
Materials Chemistry top 10%
Pharmacology top 5%
Biomedical Engineering

Co-authors: Luhua Lai Jianfeng Pei Shiwei Wang Shuaishi Gao Fangjin Chen Weilin Zhang Kangjie Lin Ziwei Dai
Topics: Computational Drug Discovery Methods (11 papers)Machine Learning in Materials Science (6 papers)Protein Structure and Dynamics (5 papers)
Cited by: Computational Theory and Mathematics Pharmacology Molecular Biology
Journals: Physical Review Letters Nucleic Acids Research Biochemical and Biophysical Research Communications
Partner nations: China United States India

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

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

#	Work	Indexed citations
1	Unveiling optimal molecular features for hERG insights with automatic machine learning 2025 ·Journal of Pharmaceutical Analysis ·Congying Xu,Youjun Xu,(unknown),(unknown),(unknown),(unknown),Jianfeng Pei	0
2	Prediction of liquid–liquid phase separating proteins using machine learning 2022 ·BMC Bioinformatics ·Xiaoquan Chu,Tanlin Sun,Qian Li,Youjun Xu,Zhuqing Zhang,Luhua Lai,Jianfeng Pei	112
3	A transferable deep learning approach to fast screen potential antiviral drugs against SARS-CoV-2 2021 ·Briefings in Bioinformatics ·Shiwei Wang,Qi Sun,Youjun Xu,Jianfeng Pei,Luhua Lai	37
4	Uncovering the Dominant Motion Modes of Allosteric Regulation Improves Allosteric Site Prediction 2021 ·Journal of Chemical Information and Modeling ·(unknown),Shiwei Wang,Youjun Xu,Minghua Deng,Luhua Lai	23
5	Transfer Learning for Drug Discovery 2020 ·Journal of Medicinal Chemistry ·(unknown),Shiwei Wang,Youjun Xu,Weilin Zhang,Ke Tang,Qi Ouyang,Luhua Lai,Jianfeng Pei	237
6	Automatic retrosynthetic route planning using template-free models 2020 ·Chemical Science ·Kangjie Lin,Youjun Xu,Jianfeng Pei,Luhua Lai	145
7	Efficient molecular encoders for virtual screening 2019 ·Drug Discovery Today Technologies ·Youjun Xu,(unknown),Shiwei Wang,Luhua Lai,Jianfeng Pei	4
8	Self-Learning Perfect Optical Chirality via a Deep Neural Network 2019 ·Physical Review Letters ·Yu Li,Youjun Xu,Meiling Jiang,Bowen Li,Tianyang Han,Cheng Chi,Feng Lin,Bo Shen,Xing Zhu,Luhua Lai,Zheyu Fang	78
9	Deep Learning for Molecular Generation 2019 ·Future Medicinal Chemistry ·Youjun Xu,Kangjie Lin,Shiwei Wang,Lei Wang,(unknown),Chen Song,Luhua Lai,Jianfeng Pei	91
10	Prostate-Specific Membrane Antigen Targeted Therapy of Prostate Cancer Using a DUPA–Paclitaxel Conjugate 2018 ·Molecular Pharmaceutics ·Qingzhi Lv,(unknown),Ruoshi Zhang,Zimeng Yang,(unknown),Yongjun Wang,Youjun Xu,Zhonggui He	36
11	CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability predictionbreakdown → 2018 ·Nucleic Acids Research ·Youjun Xu,Shiwei Wang,(unknown),Shuaishi Gao,Xiaomin Ma,Weilin Zhang,Yihang Shen,Fangjin Chen,Luhua Lai,Jianfeng Pei	281
12	Prediction of Human Cytochrome P450 Inhibition Using a Multitask Deep Autoencoder Neural Network 2018 ·Molecular Pharmaceutics ·Xiang Li,Youjun Xu,Luhua Lai,Jianfeng Pei	96
13	Molecular Graph Encoding Convolutional Neural Networks for Automatic Chemical Feature Extraction. 2017 ·arXiv (Cornell University) ·Youjun Xu,Jianfeng Pei,Luhua Lai	2
14	NF-κB signaling and cell-fate decision induced by a fast-dissociating tumor necrosis factor mutant 2017 ·Biochemical and Biophysical Research Communications ·Xiaoling Zhang,Ning Yin,(unknown),(unknown),(unknown),Youjun Xu,(unknown),Bo Tang,Luhua Lai	6
15	Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction 2017 ·Journal of Chemical Information and Modeling ·Youjun Xu,Jianfeng Pei,Luhua Lai	172
16	Comparisons of Prostate Cancer Inhibitors Abiraterone and TOK-001 Binding with CYP17A1 through Molecular Dynamics 2015 ·Computational and Structural Biotechnology Journal ·Fei Xiao,Maohua Yang,Youjun Xu,Wanwipa Vongsangnak	14
17	Deep Learning for Drug-Induced Liver Injury 2015 ·Journal of Chemical Information and Modeling ·Youjun Xu,Ziwei Dai,Fangjin Chen,Shuaishi Gao,Jianfeng Pei,Luhua Lai	261
18	Secure and Private Protocols for Server-less RFID Systems 2014 ·International Journal of Control and Automation ·(unknown),Youjun Xu,(unknown)	6
19	An Efficient RFID Authentication Protocol Supporting Tag Ownership Transfer 2012 ·International Journal of Advancements in Computing Technology ·(unknown),Dantong Ouyang,Youjun Xu,(unknown)	5
20	A BRS-based Approach for Modeling RFID Untraceability 2011 ·International Journal of Advancements in Computing Technology ·(unknown),Dantong Ouyang,Youjun Xu	1

About Youjun Xu

Youjun Xu is a scholar working on Computational Theory and Mathematics, Media Technology and Pharmacology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (6 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Computational Theory and Mathematics (873 citations), Pharmacology (139 citations) and Molecular Biology (849 citations). Youjun Xu has collaborated with scholars based in China, United States and India. Frequent co-authors include Luhua Lai, Jianfeng Pei, Shiwei Wang, Shuaishi Gao, Fangjin Chen, Weilin Zhang, Kangjie Lin, Ziwei Dai, Ke Tang and Qi Ouyang. Their work appears in journals such as Physical Review Letters, Nucleic Acids Research and Biochemical and Biophysical Research Communications.

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