Ao Li

4.8k citations

154 papers · 3.4k · h-index 32

Impact in

Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Neurology top 5%

Papers in

Molecular Biology 77
- Machine Learning in Bioinformatics 26
- Gene expression and cancer classification 25
- Bioinformatics and Genomic Networks 20
- Genomics and Phylogenetic Studies 14
Artificial Intelligence 32
- AI in cancer detection 21

Co-authors: Minghui Wang (62 shared papers)Dongdong Sun (10 shared papers)Jianing Xi (14 shared papers)Minghui Wang (15 shared papers)Huanqing Feng (13 shared papers)Yu Xue (3 shared papers)Xuebiao Yao (2 shared papers)Haichun Li (5 shared papers)
Journals: Bioinformatics (11 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (9 papers)Scientific Reports (7 papers)IEEE Journal of Biomedical and Health Informatics (6 papers)BMC Bioinformatics (6 papers)
Partner nations: China United States Germany

In The Last Decade

Ao Li

137 papers receiving 3.4k citations

Peers

Replace Minghui Wang with:

Minghui Wang China

Chun-Hou Zheng China

Jun S. Wei United States

Ran Su China

Xiaobo Zhou United States

Giancarlo Mauri Italy

Ivan G. Costa Germany

Nguyen Quoc Khanh Le Taiwan

Leyi Wei China

Saurav Mallik India

Ao Li relative to Minghui Wang China Minghui Wang's profile →

Citations per field

00.5×2×3.2×

Minghui Wang · 1×

×1.7 753/437

CR

×1.2 208/173

NEURO

×1.9 2k/907

MB

×1.1 728/643

AI

×1.2 439/365

RNMI

Citations per year

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Countries citing papers authored by Ao Li

Since Specialization

Citations

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

Fields of papers citing papers by Ao Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ao Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ao Li Line = papers co-authored together Ao Li links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A Multimodal Deep Neural Network for Human Breast Cancer Prognosis Prediction by Integrating Multi-Dimensional Data IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Dongdong Sun, Minghui Wang, Ao Li	2018	234
2	PPSP: prediction of PK-specific phosphorylation site with Bayesian decision theory BMC Bioinformatics ·Yu Xue, Ao Li, Lirong Wang, Huanqing Feng, Xuebiao Yao	2006	174
3	DeepPhos: prediction of protein phosphorylation sites with deep learning Bioinformatics ·Fenglin Luo, Minghui Wang, Yu Liu, Xing-Ming Zhao, Ao Li	2018	142
4	A novel end-to-end brain tumor segmentation method using improved fully convolutional networks Computers in Biology and Medicine ·Haichun Li, Ao Li, Minghui Wang	2019	140
5	DP-SLAM: A visual SLAM with moving probability towards dynamic environments Information Sciences ·Ao Li, Jikai Wang, Meng Xu, Zonghai Chen	2021	114
6	Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding scheme BMC Bioinformatics ·Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng	2006	105
7	Prediction of Nε-acetylation on internal lysines implemented in Bayesian Discriminant Method Biochemical and Biophysical Research Communications ·Ao Li, Yu Xue, Changjiang Jin, Minghui Wang, Xuebiao Yao	2006	96
8	Integrating genomic data and pathological images to effectively predict breast cancer clinical outcome Computer Methods and Programs in Biomedicine ·Dongdong Sun, Ao Li, Bo Tang, Minghui Wang	2018	96
9	A novel heterogeneous network-based method for drug response prediction in cancer cell lines Scientific Reports ·Fei Zhang, Minghui Wang, Jianing Xi, Jianghong Yang, Ao Li	2018	92
10	GPDBN: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction Bioinformatics ·Zhiqin Wang, LI Rui-qing, Minghui Wang, Ao Li	2021	83
11	A Bipartite Network-Based Method for Prediction of Long Non-Coding RNA–Protein Interactions Genomics Proteomics & Bioinformatics ·Mengqu Ge, Ao Li, Minghui Wang	2016	82
12	TPGLDA: Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph Scientific Reports ·Liang Ding, Minghui Wang, Dongdong Sun, Ao Li	2018	81
13	Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model BioMed Research International ·Ao Li, Mengqu Ge, Yao Zhang, Peng Chen, Minghui Wang	2015	75
14	HFBSurv: hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction Bioinformatics ·LI Rui-qing, Xingqi Wu, Ao Li, Minghui Wang	2022	70
15	GPHMM: an integrated hidden Markov model for identification of copy number alteration and loss of heterozygosity in complex tumor samples using whole genome SNP arrays Nucleic Acids Research ·Ao Li, Zongzhi Liu, Kimberly Lezon-Geyda, Sudipa Sarkar, Donald R. Lannin, Vincent Schulz, Ian E. Krop, Eric P. Winer, Lyndsay N. Harris, David Tuck	2011	67
16	A gene signature for breast cancer prognosis using support vector machine Xiaoyi Xu, Ya Zhang, Liang Zou, Minghui Wang, Ao Li	2012	66
17	PASmiR: a literature-curated database for miRNA molecular regulation in plant response to abiotic stress BMC Plant Biology ·Shihua Zhang, Yi Yue, Liang Sheng, Yunzhi Wu, Guohua Fan, Ao Li, Xiaoyi Hu, Mingzhu Shangguan, Chaoling Wei	2013	62
18	Improve Glioblastoma Multiforme Prognosis Prediction by Using Feature Selection and Multiple Kernel Learning IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Ya Zhang, Ao Li, Chen Peng, Minghui Wang	2016	59
19	NTSMDA: prediction of miRNA–disease associations by integrating network topological similarity Molecular BioSystems ·Dongdong Sun, Ao Li, Huanqing Feng, Minghui Wang	2016	58
20	Inferring subgroup-specific driver genes from heterogeneous cancer samples via subspace learning with subgroup indication Bioinformatics ·Jianing Xi, Xiguo Yuan, Minghui Wang, Ao Li, Xuelong Li, Qinghua Huang	2019	49

About Ao Li

Ao Li is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 154 papers that have together received 3.4k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (26 papers), Gene expression and cancer classification (25 papers), AI in cancer detection (21 papers), Bioinformatics and Genomic Networks (20 papers), Cancer Genomics and Diagnostics (16 papers), Cancer-related molecular mechanisms research (14 papers), Genomics and Phylogenetic Studies (14 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). The work is most often cited by research in Cancer Research (753 citations), Neurology (208 citations), Molecular Biology (1.8k citations), Artificial Intelligence (728 citations) and Radiology, Nuclear Medicine and Imaging (439 citations). Ao Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Minghui Wang, Dongdong Sun, Jianing Xi, Minghui Wang, Huanqing Feng, Yu Xue, Xuebiao Yao, Haichun Li, Minghui Wang and Yi Shen. Their work appears in journals such as Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Scientific Reports, IEEE Journal of Biomedical and Health Informatics and BMC Bioinformatics.

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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Ao Li

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