Cao Xiao

9.3k total citations · 5 hit papers
122 papers, 4.1k citations indexed

About

Cao Xiao is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Cao Xiao has authored 122 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 36 papers in Molecular Biology and 22 papers in Computational Theory and Mathematics. Recurrent topics in Cao Xiao's work include Machine Learning in Healthcare (38 papers), Computational Drug Discovery Methods (21 papers) and Topic Modeling (18 papers). Cao Xiao is often cited by papers focused on Machine Learning in Healthcare (38 papers), Computational Drug Discovery Methods (21 papers) and Topic Modeling (18 papers). Cao Xiao collaborates with scholars based in United States, China and United Kingdom. Cao Xiao's co-authors include Jimeng Sun, Lucas M. Glass, Kexin Huang, Edward Choi, Jiayu Zhou, Fei Wang, Tengfei Ma, Junyuan Shang, Tianfan Fu and Marinka Žitnik and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Cao Xiao

109 papers receiving 4.0k 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.

Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

2018 470 citations Cao Xiao, Edward Choi et al. profile →
Patient Subtyping via Time-Aware LSTM Networks

2017 376 citations Cao Xiao, Fei Wang et al. profile →
MolTrans: Molecular Interaction Transformer for drug–target interaction prediction

2020 319 citations Kexin Huang, Cao Xiao et al. profile →
DeepPurpose: a deep learning library for drug–target interaction prediction

2020 300 citations Kexin Huang, Tianfan Fu et al. profile →
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review

2020 293 citations Cao Xiao, Jimeng Sun et al. profile →

Peers

Cao Xiao

AI

MB

CTM

HIM

MC

Ping Zhang United States

Anna Goldenberg Canada

Jiayu Zhou United States

Ioannis Tsamardinos Greece

Bharath Ramsundar United States

Yixin Chen United States

Tapio Pahikkala Finland

Alejandro Pazos Spain

Jianying Hu United States

Long Lu United States

Ping Zhang United States

Cao Xiao

940 ×0.5

AI

1.3k ×1.0

MB

1.1k ×1.0

CTM

357 ×0.6

HIM

283 ×0.6

MC

Citations per year, relative to Cao Xiao Cao Xiao (= 1×) peers Ping Zhang

Countries citing papers authored by Cao Xiao

Since Specialization

Citations

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

Fields of papers citing papers by Cao Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cao Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Cao Xiao. A scholar is included among the top collaborators of Cao Xiao 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 Cao Xiao. Cao Xiao 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

1.

Chen, Jintai, Hongxia Xu, Cao Xiao, et al.. (2025). TrialBench: Multi-Modal AI-Ready Datasets for Clinical Trial Prediction. Scientific Data. 12(1). 1564–1564. 1 indexed citations

2.

Luo, Linhao, Cao Xiao, Adam Cross, et al.. (2025). A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare. PubMed. 2025. 6195–6205. 2 indexed citations

3.

Guo, Jiaqi, et al.. (2025). Planning optimization of stormwater treatment plant for sustainable coal ports considering underlying surfaces stochasticity. Journal of Water Process Engineering. 72. 107578–107578.

4.

Xiao, Cao, et al.. (2025). MediSim: Multi-granular simulation for enriching longitudinal, multi-modal electronic health records. Patterns. 6(6). 101261–101261.

5.

Luo, Junyu, Cao Xiao, & Fenglong Ma. (2024). Zero-Resource Hallucination Prevention for Large Language Models. 3586–3602. 6 indexed citations

6.

Glass, Lucas M., et al.. (2024). FRAMM: Fair ranking with missing modalities for clinical trial site selection. Patterns. 5(3). 100944–100944. 5 indexed citations

7.

Yang, Chaoqi, Cao Xiao, M. Brandon Westover, & Jimeng Sun. (2023). Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation Study. SHILAP Revista de lepidopterología. 2(1). e46769–e46769. 17 indexed citations

8.

Xiao, Cao, et al.. (2023). Synthesize high-dimensional longitudinal electronic health records via hierarchical autoregressive language model. Nature Communications. 14(1). 5305–5305. 19 indexed citations

9.

Huang, Kexin, Tianfan Fu, Wenhao Gao, et al.. (2022). Artificial intelligence foundation for therapeutic science. Nature Chemical Biology. 18(10). 1033–1036. 90 indexed citations

10.

Lin, Zhen, Lucas M. Glass, M. Brandon Westover, Cao Xiao, & Jimeng Sun. (2022). SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 7497–7505. 1 indexed citations

11.

Xu, Rui, Cao Xiao, Yufeng Wang, et al.. (2021). Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images. 9007–9014. 4 indexed citations

12.

Zhang, Xingyao, Cao Xiao, Lucas M. Glass, & Jimeng Sun. (2020). Patient-Trial Matching with Deep Embedding and Entailment Prediction.. 1029–1037. 1 indexed citations

13.

Biswal, Siddharth, et al.. (2020). Clinical Report Auto-completion.. 541–550. 1 indexed citations

14.

Huang, Kexin, Tianfan Fu, Lucas M. Glass, et al.. (2020). DeepPurpose: a Deep Learning Library for Drug-Target Interaction Prediction and Applications to Repurposing and Screening. arXiv (Cornell University). 12 indexed citations

15.

Xiao, Cao, et al.. (2019). SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. 721–739. 1 indexed citations

16.

Biswal, Siddharth, Cao Xiao, M. Brandon Westover, & Jimeng Sun. (2019). EEGtoText: Learning to Write Medical Reports from EEG Recordings.. 513–531. 3 indexed citations

17.

Tang, Fengyi, Cao Xiao, Fei Wang, & Jiayu Zhou. (2018). Predictive modeling in urgent care: a comparative study of machine learning approaches. JAMIA Open. 1(1). 87–98. 30 indexed citations

18.

Choi, Edward, Cao Xiao, Walter F. Stewart, & Jimeng Sun. (2018). MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare. arXiv (Cornell University). 31. 4547–4557. 46 indexed citations

19.

Xiao, Cao, Tengfei Ma, Adji Bousso Dieng, David M. Blei, & Fei Wang. (2018). Readmission prediction via deep contextual embedding of clinical concepts. PLoS ONE. 13(4). e0195024–e0195024. 74 indexed citations

20.

Xiao, Cao. (2002). Development of and application demulsifier for crude oil. Journal of Daqing Petroleum Institute. 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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