Peng Peng

29 papers and 294 indexed citations i.

About

Peng Peng is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peng Peng has authored 29 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Atomic and Molecular Physics, and Optics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peng Peng’s work include Anomaly Detection Techniques and Applications (4 papers), Quantum Information and Cryptography (4 papers) and Radiation Detection and Scintillator Technologies (4 papers). Peng Peng is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Quantum Information and Cryptography (4 papers) and Radiation Detection and Scintillator Technologies (4 papers). Peng Peng collaborates with scholars based in China, United States and Germany. Peng Peng's co-authors include Fuli Li, Yaodong Yang, Ying Wen, Jun Wang, Fuli Li, Quan Yuan, Zhen‐Kun Tang, Zhang‐qi Yin, Simon R. Cherry and Martin S. Judenhofer and has published in prestigious journals such as The Astrophysical Journal, Physical Review A and Geophysical Journal International.

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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