Peng Qi

25 papers and 1.2k indexed citations i.

About

Peng Qi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Peng Qi has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Peng Qi’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Peng Qi is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Peng Qi collaborates with scholars based in China, United States and Hong Kong. Peng Qi's co-authors include Christopher D. Manning, Yoshua Bengio, William W. Cohen, Saizheng Zhang, Ruslan Salakhutdinov, Zhilin Yang, Juan Cao, Tianyun Yang, Junbo Guo and Dan Jurafsky and has published in prestigious journals such as Optics Express, IEEE Transactions on Medical Imaging and Neural Networks.

In The Last Decade

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

Fields of papers citing papers by Peng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Qi

Since Specialization
Citations

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