Ying An
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Cardiology and Cardiovascular Medicine
- Computer Networks and Communications
- Molecular Biology
- Topics
- Machine Learning in Healthcare (10 papers)Caching and Content Delivery (9 papers)Artificial Intelligence in Healthcare (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaACS Applied Materials & InterfacesTrends in Food Science & Technology
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Ying An
32 papers receiving 290 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 148
- Health Information Management 74
- Cardiology and Cardiovascular Medicine 55
- Computer Networks and Communications 48
- Molecular Biology 44
Countries citing papers authored by Ying An
This map shows the geographic impact of Ying An'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 Ying An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying An more than expected).
Fields of papers citing papers by Ying An
This network shows the impact of papers produced by Ying An. 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 Ying An. The network helps show where Ying An may publish in the future.
Co-authorship network of co-authors of Ying An
This figure shows the co-authorship network connecting the top 25 collaborators of Ying An. A scholar is included among the top collaborators of Ying An 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 Ying An. Ying An is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 76 | |
| 16 | 28 | |
| 17 | 0 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | Mining Interest Set_- Weighted Association Rules Based on Algorithm Apriori | 2 |
About Ying An
Ying An is a scholar working on Health Information Management, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 300 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (10 papers), Caching and Content Delivery (9 papers) and Artificial Intelligence in Healthcare (9 papers). The work is most often cited by research in Health Information Management (74 citations), Health Informatics (7 citations) and Artificial Intelligence (148 citations). Ying An has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Jianxin Wang, Fang‐Xiang Wu, Xi Luo, Xi Luo, Mingyue Xu, Jiawei Huang, Yu Sheng, Jianbin Li, Lin Guo and Xuecheng Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and Trends in Food Science & Technology.
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.