Mei He

13 papers and 90 indexed citations i.

About

Mei He is a scholar working on Molecular Biology, Surgery and Artificial Intelligence. According to data from OpenAlex, Mei He has authored 13 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Artificial Intelligence. Recurrent topics in Mei He’s work include Additive Manufacturing and 3D Printing Technologies (1 paper), Esophageal and GI Pathology (1 paper) and Neural Networks and Applications (1 paper). Mei He is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (1 paper), Esophageal and GI Pathology (1 paper) and Neural Networks and Applications (1 paper). Mei He collaborates with scholars based in China, United States and South Korea. Mei He's co-authors include Pei Zhuang, Jing Luo, Jin Fan, Nan Yang, Taiming Shen, Yun Ye, Chang Liu, Wei Wang, Yong‐Xin Li and Fan Tang and has published in prestigious journals such as Cell Research, Frontiers in Psychology and Journal of Thoracic Oncology.

In The Last Decade

Co-authorship network of co-authors of Mei He i

Fields of papers citing papers by Mei He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei He. 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 Mei He. The network helps show where Mei He may publish in the future.

Countries citing papers authored by Mei He

Since Specialization
Citations

This map shows the geographic impact of Mei He'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 Mei He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei He 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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2025