Yuqi Si
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Topic Modeling 9
- Machine Learning in Healthcare 9
- Natural Language Processing Techniques 2
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- Biomedical Text Mining and Ontologies 9
- Co-authors
- Kirk Roberts (10 shared papers)Hua Xu (5 shared papers)Jingqi Wang (1 shared paper)Jingcheng Du (4 shared papers)Stephen Wu (2 shared papers)Qiang Wei (2 shared papers)Zongcheng Ji (2 shared papers)Qiong Wang (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (3 papers)Journal of Biomedical Informatics (2 papers)Frontiers in Endocrinology (1 paper)Frontiers in Psychiatry (1 paper)BMC Medical Informatics and Decision Making (1 paper)
- Partner nations
- United StatesChinaMacao
In The Last Decade
Yuqi Si
18 papers receiving 950 citations
Yuqi Si's Hit Papers
Peers
Comparison fields: 5 of 136
- Health Informatics 88
- Health Information Management 156
- Artificial Intelligence 556
- Aquatic Science 109
- Toxicology 22
Countries citing papers authored by Yuqi Si
This map shows the geographic impact of Yuqi Si'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 Yuqi Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuqi Si more than expected).
Fields of papers citing papers by Yuqi Si
This network shows the impact of papers produced by Yuqi Si. 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 Yuqi Si. The network helps show where Yuqi Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuqi Si, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning in clinical natural language processing: a methodical review Hit paper breakdown → | 2019 | 291 |
| 2 | 2019 | 188 | |
| 3 | 2015 | 129 | |
| 4 | 2020 | 123 | |
| 5 | 2021 | 48 | |
| 6 | Relation Extraction from Clinical Narratives Using Pre-trained Language Models. | 2019 | 29 |
| 7 | A Frame-Based NLP System for Cancer-Related Information Extraction. | 2018 | 28 |
| 8 | Deep Patient Representation of Clinical Notes via Multi-Task Learning for Mortality Prediction. | 2019 | 25 |
| 9 | 2019 | 24 | |
| 10 | 2021 | 23 | |
| 11 | Patient Representation Transfer Learning from Clinical Notes based on Hierarchical Attention Network. | 2020 | 14 |
| 12 | The Data Gap in the EHR for Clinical Research Eligibility Screening. | 2018 | 13 |
| 13 | 2017 | 11 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2021 | 4 | |
| 18 | A framenet for cancer information in clinical narratives: Schema and annotation | 2018 | 3 |
| 19 | 2025 | 1 | |
| 20 | 2022 | 0 |
About Yuqi Si
Yuqi Si is a scholar working on Artificial Intelligence, Molecular Biology, Sociology and Political Science, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 972 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Topic Modeling (9 papers), Machine Learning in Healthcare (9 papers), Natural Language Processing Techniques (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Thyroid Disorders and Treatments (1 paper), Medical Coding and Health Information (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Health Informatics (88 citations), Health Information Management (156 citations), Artificial Intelligence (556 citations), Aquatic Science (109 citations) and Toxicology (22 citations). Yuqi Si has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Kirk Roberts, Hua Xu, Jingqi Wang, Jingcheng Du, Stephen Wu, Qiang Wei, Zongcheng Ji, Qiong Wang, Sarvesh Soni and Surabhi Datta. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Frontiers in Endocrinology, Frontiers in Psychiatry and BMC Medical Informatics and Decision Making.
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.