Pei Ke

30 papers and 421 indexed citations i.

About

Pei Ke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Pei Ke has authored 30 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Pei Ke’s work include Topic Modeling (15 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (5 papers). Pei Ke is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (5 papers). Pei Ke collaborates with scholars based in China, United Kingdom and United States. Pei Ke's co-authors include Minlie Huang, Xiaoyan Zhu, Haozhe Ji, Geyong Min, Yulei Wu, Siyang Liu, Yiming Ying, Jian Guan, Shaohan Huang and Furu Wei and has published in prestigious journals such as Chemosphere, Construction and Building Materials and IEEE Internet of Things Journal.

In The Last Decade

Co-authorship network of co-authors of Pei Ke i

Fields of papers citing papers by Pei Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pei Ke

Since Specialization
Citations

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