Peng Peng

32 papers and 259 indexed citations i.

About

Peng Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Peng Peng has authored 32 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Computer Networks and Communications. Recurrent topics in Peng Peng’s work include Graph Theory and Algorithms (10 papers), Semantic Web and Ontologies (9 papers) and Advanced Database Systems and Queries (8 papers). Peng Peng is often cited by papers focused on Graph Theory and Algorithms (10 papers), Semantic Web and Ontologies (9 papers) and Advanced Database Systems and Queries (8 papers). Peng Peng collaborates with scholars based in China, Hong Kong and United States. Peng Peng's co-authors include Lei Zou, Dongyan Zhao, Lei Chen, M. TAMER ÖZSU, Jianjun Liu, Yuchen Peng, Jianlan Xie, Bei Yan, Qiang Zhang and Menglong Yang and has published in prestigious journals such as Applied Physics Letters, Optics Letters and Materials & Design.

In The Last Decade

Co-authorship network of co-authors of Peng Peng i

Fields of papers citing papers by Peng Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Peng

Since Specialization
Citations

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