Yunlong Ai

26 papers and 427 indexed citations i.

About

Yunlong Ai is a scholar working on Mechanical Engineering, Ceramics and Composites and Materials Chemistry. According to data from OpenAlex, Yunlong Ai has authored 26 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 13 papers in Ceramics and Composites and 7 papers in Materials Chemistry. Recurrent topics in Yunlong Ai’s work include Advanced ceramic materials synthesis (13 papers), Advanced materials and composites (11 papers) and High Entropy Alloys Studies (6 papers). Yunlong Ai is often cited by papers focused on Advanced ceramic materials synthesis (13 papers), Advanced materials and composites (11 papers) and High Entropy Alloys Studies (6 papers). Yunlong Ai collaborates with scholars based in China, Hong Kong and United States. Yunlong Ai's co-authors include Bingliang Liang, Wen He, Weihua Chen, Changhong Liu, Sheng Ouyang, Meijiao Liu, Weihua Chen, Yaqi Fan, Yang Zhang and Jiancheng Tang and has published in prestigious journals such as Materials Science and Engineering A, Journal of Alloys and Compounds and Nanotechnology.

In The Last Decade

Co-authorship network of co-authors of Yunlong Ai i

Fields of papers citing papers by Yunlong Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunlong Ai

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025