Yikuan Li

1.2k total citations · 1 hit paper
21 papers, 606 citations indexed

About

Yikuan Li is a scholar working on Artificial Intelligence, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yikuan Li has authored 21 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Epidemiology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yikuan Li's work include Machine Learning in Healthcare (8 papers), Topic Modeling (5 papers) and Sepsis Diagnosis and Treatment (3 papers). Yikuan Li is often cited by papers focused on Machine Learning in Healthcare (8 papers), Topic Modeling (5 papers) and Sepsis Diagnosis and Treatment (3 papers). Yikuan Li collaborates with scholars based in United States, China and Philippines. Yikuan Li's co-authors include Yuan Luo, Hanyin Wang, Meghan R. Hutch, Zhenxing Xu, Feixiong Cheng, Adrienne Kline, Fei Wang, Seema A. Khan, Faraz S. Ahmad and Andrew M. Naidech and has published in prestigious journals such as Journal of Biomechanics, Journal of Medical Internet Research and Journal of the American Medical Informatics Association.

In The Last Decade

Yikuan Li

19 papers receiving 595 citations

Hit Papers

Multimodal machine learning in precision health: A scopin... 2022 2026 2023 2024 2022 50 100 150 200
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.

  1. Multimodal machine learning in precision health: A scoping review
    2022 219 citations Adrienne Kline, Hanyin Wang et al. npj Digital Medicine profile →

Peers

Yikuan Li
Hanyin Wang United States
Yilin Ning Singapore
Beau Norgeot United States
Luca Foschini United States
Laila Rasmy United States
David C. Kale United States
Artuur Leeuwenberg Netherlands
Tanja Magoč United States
Justin F. Rousseau United States
Fatma Hilal Yağın Türkiye
Hanyin Wang United States
Yikuan Li
Citations per year, relative to Yikuan Li Yikuan Li (= 1×) peers Hanyin Wang

Countries citing papers authored by Yikuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Yikuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yikuan Li

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

All Works

20 of 20 papers shown
1.
Luo, Yuan, et al.. (2025). Leveraging large language models for academic conference organization. npj Digital Medicine. 8(1). 101–101. 1 indexed citations
2.
Mamouei, Mohammad, et al.. (2025). Identification of heart failure subtypes using transformer-based deep learning modelling: a population-based study of 379,108 individuals. EBioMedicine. 114. 105657–105657. 2 indexed citations
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Li, Yikuan, et al.. (2024). FHIR-GPT Enhances Health Interoperability with Large Language Models. NEJM AI. 1(8). 10 indexed citations
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Mao, Chengsheng, Jie Xu, Luke V. Rasmussen, et al.. (2023). AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. Journal of Biomedical Informatics. 144. 104442–104442. 29 indexed citations
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Wang, Hanyin, Yikuan Li, Meghan R. Hutch, et al.. (2023). Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries. Journal of the American Medical Informatics Association. 30(5). 923–931. 3 indexed citations
10.
Kline, Adrienne, Hanyin Wang, Yikuan Li, et al.. (2022). Multimodal machine learning in precision health: A scoping review. npj Digital Medicine. 5(1). 171–171. 219 indexed citations breakdown →
11.
Wang, Hanyin, Yikuan Li, Andrew M. Naidech, & Yuan Luo. (2022). Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants. BMC Medical Informatics and Decision Making. 22(S2). 156–156. 11 indexed citations
12.
Zhao, Yiqing, et al.. (2022). Machine Learning in Causal Inference: Application in Pharmacovigilance. Drug Safety. 45(5). 459–476. 20 indexed citations
13.
Li, Yikuan, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, & Yuan Luo. (2022). A comparative study of pretrained language models for long clinical text. Journal of the American Medical Informatics Association. 30(2). 340–347. 56 indexed citations
14.
Li, Yikuan, Hanyin Wang, & Yuan Luo. (2022). Improving Fairness in the Prediction of Heart Failure Length of Stay and Mortality by Integrating Social Determinants of Health. Circulation Heart Failure. 15(11). e009473–e009473. 36 indexed citations
15.
Wang, Hanyin, Yikuan Li, Meghan R. Hutch, Andrew M. Naidech, & Yuan Luo. (2021). Using Tweets to Understand How COVID-19–Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study. Journal of Medical Internet Research. 23(2). e26302–e26302. 39 indexed citations
16.
Shin, Jiyoung, Yikuan Li, & Yuan Luo. (2021). Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2885–2890. 6 indexed citations
17.
Wang, Hanyin, Yikuan Li, Seema A. Khan, & Yuan Luo. (2020). Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network. Artificial Intelligence in Medicine. 110. 101977–101977. 71 indexed citations
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Wang, Hanyin, Yikuan Li, Hongyan Ning, et al.. (2019). Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk. Studies in health technology and informatics. 264. 433–437. 7 indexed citations
20.
Li, Yikuan, Liang Yao, Chengsheng Mao, et al.. (2018). Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. PubMed. 2018. 683–686. 43 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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