Jing Peng

59 papers and 737 indexed citations i.

About

Jing Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Jing Peng has authored 59 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Aerospace Engineering. Recurrent topics in Jing Peng’s work include Face and Expression Recognition (11 papers), Natural Language Processing Techniques (8 papers) and Sparse and Compressive Sensing Techniques (5 papers). Jing Peng is often cited by papers focused on Face and Expression Recognition (11 papers), Natural Language Processing Techniques (8 papers) and Sparse and Compressive Sensing Techniques (5 papers). Jing Peng collaborates with scholars based in United States, China and Canada. Jing Peng's co-authors include Carlotta Domeniconi, Dimitrios Gunopulos, Bikramjit Banerjee, Bir Bhanu, Anna Feldman, Kannappan Palaniappan, Ekaterina Vylomova, Keyu Zhu, Bojun Yan and Peng Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Analytica Chimica Acta.

In The Last Decade

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

Fields of papers citing papers by Jing Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Peng

Since Specialization
Citations

This map shows the geographic impact of Jing 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 Jing Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing 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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2025