Pengcheng Guo

14 papers and 125 indexed citations i.

About

Pengcheng Guo is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pengcheng Guo has authored 14 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Astronomy and Astrophysics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pengcheng Guo’s work include Stellar, planetary, and galactic studies (4 papers), Astronomy and Astrophysical Research (4 papers) and Multimodal Machine Learning Applications (2 papers). Pengcheng Guo is often cited by papers focused on Stellar, planetary, and galactic studies (4 papers), Astronomy and Astrophysical Research (4 papers) and Multimodal Machine Learning Applications (2 papers). Pengcheng Guo collaborates with scholars based in China, United States and Canada. Pengcheng Guo's co-authors include Chenkai Li, Yi Sun, Yikai Liu, Ping Leng, Zhenghui Li, Haining Zhang, William D. Cochran, Stephen R. Kane, Robert A. Wittenmyer and Eric B. Ford and has published in prestigious journals such as The Astrophysical Journal, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Co-authorship network of co-authors of Pengcheng Guo i

Fields of papers citing papers by Pengcheng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pengcheng Guo

Since Specialization
Citations

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