Peng Qin

12 papers and 182 indexed citations i.

About

Peng Qin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Peng Qin has authored 12 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Peng Qin’s work include Natural Language Processing Techniques (2 papers), Blockchain Technology Applications and Security (2 papers) and Advanced Vision and Imaging (2 papers). Peng Qin is often cited by papers focused on Natural Language Processing Techniques (2 papers), Blockchain Technology Applications and Security (2 papers) and Advanced Vision and Imaging (2 papers). Peng Qin collaborates with scholars based in Macao and China. Peng Qin's co-authors include Jingzhi Guo, Bingqing Shen, Lin‐Shuang Zhao, Shuaihe Zhuo, Simon Fong, Qian Tang, Chi‐Man Pun, Bin Wang, Jie Yang and Qinyou Hu and has published in prestigious journals such as IEEE Access, Future Generation Computer Systems and IEEE Sensors Journal.

In The Last Decade

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

Fields of papers citing papers by Peng Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Qin

Since Specialization
Citations

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