Wei Ai

32 papers and 383 indexed citations i.

About

Wei Ai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Wei Ai has authored 32 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Wei Ai’s work include Digital Communication and Language (6 papers), Sentiment Analysis and Opinion Mining (6 papers) and Chaos control and synchronization (5 papers). Wei Ai is often cited by papers focused on Digital Communication and Language (6 papers), Sentiment Analysis and Opinion Mining (6 papers) and Chaos control and synchronization (5 papers). Wei Ai collaborates with scholars based in China, United States and Australia. Wei Ai's co-authors include Kehui Sun, Qiaozhu Mei, Keqin Li, Kenli Li, Yuexi Peng, Xuan Lü, Yan Chen, Xuanzhe Liu, Fan Zhang and Huoran Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Management Science.

In The Last Decade

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

Fields of papers citing papers by Wei Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Ai

Since Specialization
Citations

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