Peng Peng

11 papers and 231 indexed citations i.

About

Peng Peng is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Peng Peng has authored 11 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 2 papers in Cognitive Neuroscience and 2 papers in Media Technology. Recurrent topics in Peng Peng’s work include Image and Video Quality Assessment (4 papers), Image Enhancement Techniques (3 papers) and Image Retrieval and Classification Techniques (2 papers). Peng Peng is often cited by papers focused on Image and Video Quality Assessment (4 papers), Image Enhancement Techniques (3 papers) and Image Retrieval and Classification Techniques (2 papers). Peng Peng collaborates with scholars based in Canada and China. Peng Peng's co-authors include Zhilei Liu, Shangfei Wang, Xufa Wang, Fei Chen, Ze-Nian Li, Ivens Portugal, Paulo Alencar, Donald Cowan, Kevin Cannons and Ming Ming and has published in prestigious journals such as PLoS ONE, Pattern Recognition and Neurocomputing.

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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