Pengjie Ren

79 papers and 1.6k indexed citations i.

About

Pengjie Ren is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pengjie Ren has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 31 papers in Information Systems and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pengjie Ren’s work include Topic Modeling (48 papers), Natural Language Processing Techniques (30 papers) and Recommender Systems and Techniques (25 papers). Pengjie Ren is often cited by papers focused on Topic Modeling (48 papers), Natural Language Processing Techniques (30 papers) and Recommender Systems and Techniques (25 papers). Pengjie Ren collaborates with scholars based in China, The Netherlands and United States. Pengjie Ren's co-authors include Zhaochun Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, Tao Lian, Jing Li, Jing Li, Furu Wei, Qintong Li and Zhaopeng Tu and has published in prestigious journals such as Science Advances, Artificial Intelligence and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Pengjie Ren i

Fields of papers citing papers by Pengjie Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pengjie Ren

Since Specialization
Citations

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