Ping An (China)

372 papers and 4.3k indexed citations

About

In recent decades, authors affiliated with Ping An (China) have published 372 papers, which have received a total of 4.3k indexed citations. Scholars at this organization have produced 108 papers in Artificial Intelligence, 61 papers in Computer Vision and Pattern Recognition and 48 papers in Radiology, Nuclear Medicine and Imaging on the topics of Topic Modeling (28 papers), Multimodal Machine Learning Applications (19 papers) and Speech and Audio Processing (18 papers). Their work is cited by papers focused on Artificial Intelligence (992 citations), Radiology, Nuclear Medicine and Imaging (664 citations) and Computer Vision and Pattern Recognition (551 citations). Authors at Ping An (China) collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología. Some of Ping An (China)'s most productive authors include Guotong Xie, Jing Xiao, Xianbiao Qi, Jianzong Wang, Shi‐Lu Dai, Shude He, Xin Chen, Xu Jin, Jie Li and Zhaowu Zeng.

In The Last Decade

Ping An (China)

329 papers receiving 4.3k citations

Fields of papers published by authors at Ping An (China)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Ping An (China) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Ping An (China) at the time of their publication.

Countries citing scholars working at Ping An (China)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Ping An (China). 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 papers produced at Ping An (China) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping An (China) more than expected).

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.

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2026