Pengyong Li

875 total citations
22 papers, 526 citations indexed

About

Pengyong Li is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Pengyong Li has authored 22 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 9 papers in Materials Chemistry. Recurrent topics in Pengyong Li's work include Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (8 papers) and Protein Structure and Dynamics (7 papers). Pengyong Li is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (8 papers) and Protein Structure and Dynamics (7 papers). Pengyong Li collaborates with scholars based in China, Macao and United States. Pengyong Li's co-authors include Sen Song, Xianggen Liu, Xiaojun Yao, Xinyu Liu, Mengmeng Sun, Weiping Gao, Huanxiang Liu, Yunan Luo, Jian Peng and Yuquan Li and has published in prestigious journals such as Bioinformatics, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Pengyong Li

20 papers receiving 520 citations

Peers

Countries citing papers authored by Pengyong Li

Since Specialization

Citations

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

Fields of papers citing papers by Pengyong Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyong Li

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	RNA language model and graph attention network for RNA and small molecule binding sites prediction 2025 ·Bioinformatics ·Saisai Sun, Jianyi Yang, Lin Gao, Pengyong Li, (unknown)	0
2	GINS1 facilitates the development of lung adenocarcinoma via Wnt/β-catenin activation 2025 ·World Journal of Surgical Oncology ·Luyuan Ma, (unknown), Pengyong Li, (unknown), (unknown), Libo Si, Hui Tian	1
3	DeepDR: a deep learning library for drug response prediction 2024 ·Bioinformatics ·(unknown), Pengyong Li	2
4	Improving drug response prediction via integrating gene relationships with deep learning 2024 ·Briefings in Bioinformatics ·Pengyong Li, (unknown), Tianxiao Liu, Xinyu Liu, Hui Qiao, Xiaojun Yao	8
5	DiffSeqMol: A Non-Autoregressive Diffusion-Based Approach for Molecular Sequence Generation and Optimization 2024 ·Current Bioinformatics ·Zixu Wang, Yangyang Chen, (unknown), (unknown), Pengyong Li, Chunyan Li, Xiucai Ye, Tetsuya Sakurai	1
6	A deep learning approach for rational ligand generation with toxicity control via reactive building blocks 2024 ·Nature Computational Science ·Pengyong Li, (unknown), Tianxiao Liu, (unknown), Yangyang Chen, Xiaojun Yao, Lin Gao, Xiangxiang Zeng	6
7	Improving drug-target affinity prediction via feature fusion and knowledge distillation 2023 ·Briefings in Bioinformatics ·(unknown), Jun Wang, Pengyong Li, Yuquan Li, Shuoyan Tan, (unknown), Huanxiang Liu, Peng Gao, Guotong Xie, Xiaojun Yao	15
8	Effects of levosimendan on the outcome of veno-arterial extracorporeal membrane oxygenation: a systematic review and meta-analysis 2023 ·Clinical Research in Cardiology ·Yuliang Liu, Lichen Zhang, (unknown), Yihui Li, Weidong Qin, Yuan Li, (unknown), Pengyong Li, Yuguo Chen, Xiaomei Chen, (unknown)	8
9	Development, validation, and evaluation of a deep learning model to screen cyclin-dependent kinase 12 inhibitors in cancers 2023 ·European Journal of Medicinal Chemistry ·(unknown), Jun Wang, (unknown), Shuoyan Tan, Pengyong Li, Xiaojun Yao, Huanxiang Liu, Zongbi Yi, Lixi Li, Shuning Liu, Peng Gao, Haili Qian, Guotong Xie, Fei Ma	7
10	An adaptive graph learning method for automated molecular interactions and properties predictions 2022 ·Nature Machine Intelligence ·Yuquan Li, Chang‐Yu Hsieh, (unknown), Xiaoqing Gong, Xiaorui Wang, Pengyong Li, Shuo Liu, Yanan Tian, Dejun Jiang, (unknown), Qifeng Bai, Huanxiang Liu, Shengyu Zhang, Xiaojun Yao	34
11	The effect of the cyclic GMP-AMP synthase-stimulator of interferon genes signaling pathway on organ inflammatory injury and fibrosis 2022 ·Frontiers in Pharmacology ·Yuliang Liu, Yihui Li, Xue Li, Jie Xiao, Pengyong Li, (unknown), Chen Li, Haipeng Guo, Yuguo Chen	6
12	Deep geometric representations for modeling effects of mutations on protein-protein binding affinity 2021 ·PLoS Computational Biology ·Xianggen Liu, Yunan Luo, Pengyong Li, Sen Song, Jian Peng	81
13	Simulated annealing for optimization of graphs and sequences 2021 ·Neurocomputing ·Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, (unknown), Jie Zhou, Lili Mou, Sen Song	22
14	Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks 2021 ·Pengyong Li, Jun Wang, (unknown), Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie	4
15	An effective self-supervised framework for learning expressive molecular global representations to drug discovery 2021 ·Briefings in Bioinformatics ·Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song	93
16	PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking. 2020 ·Text REtrieval Conference ·Yixuan Qiao, Hao Chen, Liyu Cao, Liping Chen, Pengyong Li, Jun Wang, Peng Gao, Yuan Ni, Guotong Xie	1
17	Target tracking algorithm based on AIGWO-IMMUKF 2020 ·Beijing Hangkong Hangtian Daxue xuebao ·(unknown), (unknown), (unknown), (unknown), Haiyan Yang, Pengyong Li	1
18	TrimNet: learning molecular representation from triplet messages for biomedicine 2020 ·Briefings in Bioinformatics ·Pengyong Li, Yuquan Li, Chang‐Yu Hsieh, Shengyu Zhang, Xianggen Liu, Huanxiang Liu, Sen Song, Xiaojun Yao	70
19	In Situ Growth of a Cationic Polymer from the N-Terminus of Glucose Oxidase To Regulate H₂O₂Generation for Cancer Starvation and H₂O₂Therapy 2019 ·ACS Applied Materials & Interfaces ·(unknown), Mengmeng Sun, Pengyong Li, Jiawei Sun, Xinyu Liu, Weiping Gao	70
20	Site-Selective in Situ Growth-Induced Self-Assembly of Protein–Polymer Conjugates into pH-Responsive Micelles for Tumor Microenvironment Triggered Fluorescence Imaging 2018 ·Biomacromolecules ·Pengyong Li, Mengmeng Sun, Zhikun Xu, Xinyu Liu, Wenguo Zhao, Weiping Gao	54

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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