Dongsheng Cao

20.5k total citations · 8 hit papers
275 papers, 14.6k citations indexed

About

Dongsheng Cao is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Dongsheng Cao has authored 275 papers receiving a total of 14.6k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Computational Theory and Mathematics, 158 papers in Molecular Biology and 60 papers in Materials Chemistry. Recurrent topics in Dongsheng Cao's work include Computational Drug Discovery Methods (165 papers), Machine Learning in Materials Science (57 papers) and Spectroscopy and Chemometric Analyses (37 papers). Dongsheng Cao is often cited by papers focused on Computational Drug Discovery Methods (165 papers), Machine Learning in Materials Science (57 papers) and Spectroscopy and Chemometric Analyses (37 papers). Dongsheng Cao collaborates with scholars based in China, Hong Kong and United States. Dongsheng Cao's co-authors include Yi‐Zeng Liang, Hong‐Dong Li, Tingjun Hou, Qing‐Song Xu, Aiping Lü, Qing‐Song Xu, Zhenhua Wu, Chang‐Yu Hsieh, Yong‐Huan Yun and Jie Dong and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Dongsheng Cao

263 papers receiving 14.3k citations

Hit Papers

5 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.

ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties

2021 1.7k citations Guo‐Li Xiong, Zhenhua Wu et al. Nucleic Acids Research profile →
Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration

2009 1.4k citations Yi‐Zeng Liang, Dongsheng Cao et al. profile →
ADMETlab: a platform for systematic ADMET evaluation based on a comprehensively collected ADMET database

2018 591 citations Ningning Wang, Lin Zhang et al. profile →
An overview of variable selection methods in multivariate analysis of near-infrared spectra

2019 423 citations Dongsheng Cao et al. profile →
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models

2021 388 citations Dejun Jiang, Zhenhua Wu et al. profile →
ADMETlab 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision support

2024 349 citations Li Fu, Shaohua Shi et al. Nucleic Acids Research profile →
TargetNet: a web service for predicting potential drug–target interaction profiling via multi-target SAR models

2016 316 citations Ningning Wang, Aiping Lü et al. profile →
ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computation

2015 311 citations Dongsheng Cao, Ningning Wang et al. profile →

Peers

Countries citing papers authored by Dongsheng Cao

Since Specialization

Citations

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

Fields of papers citing papers by Dongsheng Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongsheng Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Dongsheng Cao. A scholar is included among the top collaborators of Dongsheng Cao 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 Dongsheng Cao. Dongsheng Cao 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	TarIKGC: A Target Identification Tool Using Semantics-Enhanced Knowledge Graph Completion with Application to CDK2 Inhibitor Discovery 2025 ·Journal of Medicinal Chemistry ·(unknown), (unknown), Tao Zeng, Fei Xia, Dejun Jiang, Guohui Wan, Dongsheng Cao, Ruibo Wu	0
2	GRAPE: graph-regularized protein language modeling unlocks TCR-epitope binding specificity 2025 ·Briefings in Bioinformatics ·Xiangzheng Fu, Peng Li, (unknown), Mingqiang Rong, Yifan Chen, Dongsheng Cao, (unknown), Aiping Lü	0
3	Degradable Polymer‐Fueled Artificial Colloidal Motors 2025 ·Macromolecular Rapid Communications ·S LIU, Dongsheng Cao, Xue Han, (unknown), Shuai Wang, Xibo Yan	1
4	Data-driven toxicity prediction in drug discovery: Current status and future directions 2024 ·Drug Discovery Today ·Ningning Wang, (unknown), Jing Xiao, Shao Liu, Dongsheng Cao	6
5	Predicting novel targets with Bayesian machine learning by integrating multiple biological signatures 2024 ·Chemical Science ·(unknown), (unknown), (unknown), Xiangzheng Fu, Dejun Jiang, Youchao Deng, Aiping Lü, Dongsheng Cao	3
6	Effective drug-target affinity prediction via generative active learning 2024 ·Information Sciences ·Yuansheng Liu, (unknown), Xiaofeng Cao, Dongsheng Cao, Xiangxiang Zeng	6
7	ChemFH: an integrated tool for screening frequent false positives in chemical biology and drug discovery 2024 ·Nucleic Acids Research ·Shaohua Shi, Li Fu, Jiacai Yi, Ziyi Yang, Xiaochen Zhang, Youchao Deng, Wen‐Xuan Wang, Chengkun Wu, Wentao Zhao, Tingjun Hou, Xiangxiang Zeng, Aiping Lyu, Dongsheng Cao	0
8	ChemMORT: an automatic ADMET optimization platform using deep learning and multi-objective particle swarm optimization 2024 ·Briefings in Bioinformatics ·Jiacai Yi, Ziyi Yang, Wentao Zhao, Zhijiang Yang, (unknown), Chengkun Wu, Aiping Lü, Dongsheng Cao	10
9	A Very Deep Graph Convolutional Network for¹³C NMR Chemical Shift Calculations with Density Functional Theory Level Performance for Structure Assignment 2024 ·Journal of Natural Products ·(unknown), Jing Li, Dongsheng Cao, Shao Liu, (unknown), Yan Li, Gui‐Shan Tan, Kang Xu, Xia Yu, Fenghua Kang, Zhen‐Xing Zou, Wen‐Xuan Wang	13
10	Advanced AI-Driven Prediction of Pregnancy-Related Adverse Drug Reactions 2024 ·Journal of Chemical Information and Modeling ·(unknown), Li Fu, Guoping Yang, Dongsheng Cao	0
11	CPhaMAS: An online platform for pharmacokinetic data analysis based on optimized parameter fitting algorithm 2024 ·Computer Methods and Programs in Biomedicine ·Yun Kuang, Dongsheng Cao, (unknown), (unknown), (unknown), (unknown), Hong Wang, (unknown), Qi Pei, Guoping Yang	1
12	Forecast for wind power at ultra-short-term based on a composite model 2024 ·Energy Reports ·Chen Li, Dongsheng Cao, (unknown), (unknown), (unknown)	4
13	Comprehensive Review of Drug–Drug Interaction Prediction Based on Machine Learning: Current Status, Challenges, and Opportunities 2023 ·Journal of Chemical Information and Modeling ·Ningning Wang, (unknown), (unknown), Shao Liu, Jian‐Yu Shi, Dongsheng Cao	14
14	ABC-Net: a divide-and-conquer based deep learning architecture for SMILES recognition from molecular images 2022 ·Briefings in Bioinformatics ·(unknown), Jiacai Yi, Guoping Yang, Chengkun Wu, Tingjun Hou, Dongsheng Cao	15
15	Deep learning for drug repurposing: Methods, databases, and applications 2022 ·Wiley Interdisciplinary Reviews Computational Molecular Science ·(unknown), Xuan Lin, Dongsheng Cao, Xiangxiang Zeng, Philip S. Yu, Lifang He, Ruth Nussinov, Feixiong Cheng	113
16	A label-free fluorescent peptide probe for sensitive and selective determination of copper and sulfide ions in aqueous systems 2021 ·RSC Advances ·Yadan Zhang, (unknown), Yonghui He, Qinlu Lin, Jiali Ren, Dongsheng Cao, Lin Zhang	10
17	ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties breakdown → 2021 ·Nucleic Acids Research ·Guo‐Li Xiong, Zhenhua Wu, Jiacai Yi, Li Fu, Zhijiang Yang, Chang‐Yu Hsieh, Mingzhu Yin, Xiangxiang Zeng, Chengkun Wu, Aiping Lü, Xiang Chen, Tingjun Hou, Dongsheng Cao	1709
18	RSK2 protects human breast cancer cells under endoplasmic reticulum stress through activating AMPKα2-mediated autophagy 2020 ·Oncogene ·Lanya Li, Xisha Chen, Kuan-Song Wang, Yidi Guan, Xingcong Ren, Dongsheng Cao, (unknown), (unknown), Yongguang Tao, Yi Zhang, Mingzhu Yin, Xinluan Wang, Minghua Wu, Jinming Yang, Yan Cheng	18
19	Computer-Aided Formulation Design for a Highly Soluble Lutein–Cyclodextrin Multiple-Component Delivery System 2018 ·Molecular Pharmaceutics ·Qianqian Zhao, (unknown), Yan Su, Weijie Chen, Xuejiao Gao, (unknown), Ru Yan, Haifeng Li, Xiaojun Yao, Dongsheng Cao, Yitao Wang, Defang Ouyang	52
20	Comparison of quantitative structure–retention relationship models on four stationary phases with different polarity for a diverse set of flavor compounds 2011 ·Journal of Chromatography A ·Jun Yan, Dongsheng Cao, Fang-Qiu Guo, Liangxiao Zhang, Min He, Jianhua Huang, Qing‐Song Xu, Yi‐Zeng Liang	27

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