Ying An

511 total citations
41 papers, 300 citations indexed

About

Ying An is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Health Information Management. According to data from OpenAlex, Ying An has authored 41 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Cardiology and Cardiovascular Medicine and 10 papers in Health Information Management. Recurrent topics in Ying An's work include Machine Learning in Healthcare (10 papers), Caching and Content Delivery (9 papers) and Artificial Intelligence in Healthcare (9 papers). Ying An is often cited by papers focused on Machine Learning in Healthcare (10 papers), Caching and Content Delivery (9 papers) and Artificial Intelligence in Healthcare (9 papers). Ying An collaborates with scholars based in China, United Kingdom and Canada. Ying An's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and Trends in Food Science & Technology.

In The Last Decade

Ying An

32 papers receiving 290 citations

Peers

Ying An
Ying An
Citations per year, relative to Ying An Ying An (= 1×) peers Mohammed Amine Chikh

Countries citing papers authored by Ying An

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zhu, Xuecheng, et al.. (2025). Advances in optical sensor visualization: Enabling rapid mycotoxin detection. Trends in Food Science & Technology. 160. 105003–105003. 3 indexed citations
2.
Guo, Lin, et al.. (2025). Lead-grouped multi-stage learning for myocardial infarction localization. Methods. 234. 315–323. 1 indexed citations
3.
Li, Lei, et al.. (2025). Improvement of Non-Invasive Glucose Estimation Accuracy Through Multi-Wavelength PPG. IEEE Journal of Biomedical and Health Informatics. 29(8). 5465–5478. 2 indexed citations
4.
Zhang, Yuanyuan, Huadi Zhang, Yu Niu, et al.. (2025). Enhanced Electrostrain in Polarized Cu-Doped KTN Single Crystals by Reversible Domain Switching. ACS Applied Materials & Interfaces. 17(37). 52391–52402. 1 indexed citations
6.
Yang, Chenglin, et al.. (2024). A few-shot link prediction framework to drug repurposing using multi-level attention network. Computers in Biology and Medicine. 170. 107936–107936. 2 indexed citations
9.
An, Ying, et al.. (2023). PARSE: A personalized clinical time-series representation learning framework via abnormal offsets analysis. Computer Methods and Programs in Biomedicine. 242. 107838–107838. 1 indexed citations
11.
Yang, Chenglin, et al.. (2023). SPBERE: Boosting span-based pipeline biomedical entity and relation extraction via entity information. Journal of Biomedical Informatics. 145. 104456–104456. 4 indexed citations
12.
An, Ying, et al.. (2023). LGTRL-DE: Local and Global Temporal Representation Learning with Demographic Embedding for in-hospital mortality prediction. Journal of Biomedical Informatics. 143. 104408–104408. 3 indexed citations
13.
An, Ying, et al.. (2022). TERTIAN: Clinical Endpoint Prediction in ICU via Time-Aware Transformer-Based Hierarchical Attention Network. Computational Intelligence and Neuroscience. 2022. 1–13. 3 indexed citations
14.
An, Ying, et al.. (2022). MERGE: A Multi-graph Attentive Representation learning framework integrating Group information from similar patients. Computers in Biology and Medicine. 151(Pt A). 106245–106245. 5 indexed citations
15.
An, Ying, et al.. (2022). Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF. Artificial Intelligence in Medicine. 127. 102282–102282. 76 indexed citations
16.
An, Ying, et al.. (2022). MCA-net: A multi-task channel attention network for Myocardial infarction detection and location using 12-lead ECGs. Computers in Biology and Medicine. 150. 106199–106199. 28 indexed citations
17.
Duan, Guihua, Yu Sheng, Ping Zhong, et al.. (2021). Reform and Practice of Open Teaching Mode Based on Innovation Ability Training. 12. 998–1001.
18.
Xu, Mingyue, et al.. (2020). Identifying the essential nodes in network pharmacology based on multilayer network combined with random walk algorithm. Journal of Biomedical Informatics. 114. 103666–103666. 8 indexed citations
19.
Sheng, Yu, Juan Huang, Zhang Fei, Ying An, & Ping Zhong. (2016). A virtual laboratory based on HTML5. 299–302. 3 indexed citations
20.
An, Ying. (2008). Mining Interest Set_- Weighted Association Rules Based on Algorithm Apriori. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026