Yikuan Li
- Artificial Intelligence top 5%
- Health Information Management top 1%
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Molecular Biology
- Co-authors
- Kazem RahimiDexter CanoyShishir RaoAbdelǎali HassaïneGholamreza Salimi‐KhorshidiRema RamakrishnanYajie ZhuJosé Roberto Ayala Solares
- Topics
- Machine Learning in Healthcare (7 papers)Artificial Intelligence in Healthcare (4 papers)Chronic Disease Management Strategies (3 papers)
- Partner nations
- United KingdomAustraliaNorway
In The Last Decade
Yikuan Li
13 papers receiving 590 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 344
- Health Information Management 178
- Cardiology and Cardiovascular Medicine 93
- Epidemiology 86
- Molecular Biology 66
Countries citing papers authored by Yikuan Li
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 65 | |
| 7 | 57 | |
| 8 | 73 | |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 21 | |
| 12 | 39 | |
| 13 | 23 | |
| 14 | BEHRT: Transformer for Electronic Health Recordsbreakdown → | 292 |
About Yikuan Li
Yikuan Li is a scholar working on Health Information Management, Artificial Intelligence and Nephrology, having authored 14 papers that have together received 601 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Artificial Intelligence in Healthcare (4 papers) and Chronic Disease Management Strategies (3 papers). The work is most often cited by research in Health Informatics (55 citations), Health Information Management (178 citations) and Artificial Intelligence (344 citations). Yikuan Li has collaborated with scholars based in United Kingdom, Australia and Norway. Frequent co-authors include Kazem Rahimi, Dexter Canoy, Shishir Rao, Abdelǎali Hassaïne, Gholamreza Salimi‐Khorshidi, Rema Ramakrishnan, Yajie Zhu, José Roberto Ayala Solares, Thomas Lukasiewicz and Mohammad Mamouei. Their work appears in journals such as Scientific Reports, Hypertension and European Heart Journal.
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.