Xing Ai

160 papers and 2.1k indexed citations i.

About

Xing Ai is a scholar working on Mechanical Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Xing Ai has authored 160 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Mechanical Engineering, 62 papers in Biomedical Engineering and 39 papers in Materials Chemistry. Recurrent topics in Xing Ai’s work include Advanced machining processes and optimization (80 papers), Chemical Mechanical Polishing in Microelectronics Manufacturing (52 papers) and Advanced materials and composites (35 papers). Xing Ai is often cited by papers focused on Advanced machining processes and optimization (80 papers), Chemical Mechanical Polishing in Microelectronics Manufacturing (52 papers) and Advanced materials and composites (35 papers). Xing Ai collaborates with scholars based in China, Hong Kong and Australia. Xing Ai's co-authors include Qinghua Song, Qingzhong Xu, Yi Wan, Jun Zhao, Deng Jianxin, Chuanzhen Huang, Zhanqiang Liu, Jun Zhao, Jun Zhao and Jia Zhixin and has published in prestigious journals such as Materials Science and Engineering A, Journal of Materials Science and Journal of Alloys and Compounds.

In The Last Decade

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

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Fields of papers citing papers by Xing Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xing Ai

Since Specialization

Citations

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

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