Yingxue Li
- General Dentistry top 5%
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes 2
- Health Informatics top 10%
- Family Practice top 10%
-
- Artificial Intelligence in Healthcare 3
-
- Thyroid Cancer Diagnosis and Treatment 3
-
- Vascular Tumors and Angiosarcomas 2
-
- Pregnancy and preeclampsia studies 2
-
- Sarcoma Diagnosis and Treatment 2
-
- Andrographolide Research and Applications 1
-
- Metabolomics and Mass Spectrometry Studies 1
- Co-authors
- Weirong YanRong HuFan ZhangZhixia ZhangZhihong LiuTingyu ChenXiang LiYong Qin
- Journals
- Medicine (2 papers)Journal of the American College of Cardiology (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yingxue Li
24 papers receiving 916 citations
Hit Papers
Peers
Comparison fields: 5 of 122
- General Dentistry 37
- Applied Microbiology and Biotechnology 31
- Nephrology 105
- Health Informatics 18
- Family Practice 25
Countries citing papers authored by Yingxue Li
This map shows the geographic impact of Yingxue 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 Yingxue Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingxue Li more than expected).
Fields of papers citing papers by Yingxue Li
This network shows the impact of papers produced by Yingxue 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 Yingxue Li. The network helps show where Yingxue Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yingxue Li, 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 | 2025 | 1 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 136 | |
| 12 | 2019 | 25 | |
| 13 | 2019 | 37 | |
| 14 | 2018 | 5 | |
| 15 | The Effectiveness of Blended Learning in Health Professions: Systematic Review and Meta-Analysisbreakdown → | 2016 | 459 |
| 16 | 2016 | 11 | |
| 17 | 2016 | 33 | |
| 18 | 2015 | 12 | |
| 19 | 2015 | 12 | |
| 20 | 2015 | 104 |
About Yingxue Li
Yingxue Li is a scholar working on Health Informatics, Health Information Management and Applied Microbiology and Biotechnology, having authored 24 papers that have together received 939 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Vascular Tumors and Angiosarcomas (2 papers), Pregnancy and preeclampsia studies (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Andrographolide Research and Applications (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in General Dentistry (37 citations), Applied Microbiology and Biotechnology (31 citations) and Nephrology (105 citations). Yingxue Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Weirong Yan, Rong Hu, Fan Zhang, Weirong Yan, Zhixia Zhang, Rong Hu, Zhihong Liu, Tingyu Chen, Xiang Li and Yong Qin. Their work appears in journals such as Medicine, Journal of the American College of Cardiology, PLoS ONE, Gene and BMJ Open.
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.