Peng Yang

66 papers and 802 indexed citations i.

About

Peng Yang is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Peng Yang has authored 66 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 16 papers in Information Systems and 13 papers in Computer Networks and Communications. Recurrent topics in Peng Yang’s work include Topic Modeling (17 papers), Natural Language Processing Techniques (8 papers) and Advanced Graph Neural Networks (7 papers). Peng Yang is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (8 papers) and Advanced Graph Neural Networks (7 papers). Peng Yang collaborates with scholars based in China, United States and Hong Kong. Peng Yang's co-authors include Guangzhen Zhao, Peng Zeng, Xuan Liu, Zhuo Li, Jin Wang, Yin Bai, Sheng Wang, Victor S. Sheng, Mauro Ferrari and Degan Zhang and has published in prestigious journals such as Biochemistry, Scientific Reports and Nanoscale.

In The Last Decade

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

Fields of papers citing papers by Peng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Yang

Since Specialization
Citations

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