Peng Cheng Laboratory

7.9k papers and 123.2k indexed citations i.

About

In recent decades, authors affiliated with Peng Cheng Laboratory have published 7.9k papers, which have received a total of 123.2k indexed citations. Scholars at this organization have produced 2.4k papers in Computer Vision and Pattern Recognition, 2.3k papers in Artificial Intelligence and 2.0k papers in Electrical and Electronic Engineering on the topics of Advanced Neural Network Applications (438 papers), Multimodal Machine Learning Applications (392 papers) and Advanced Image and Video Retrieval Techniques (379 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (48.1k citations), Artificial Intelligence (34.6k citations) and Electrical and Electronic Engineering (23.6k citations). Authors at Peng Cheng Laboratory collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including Nature, Science and Proceedings of the National Academy of Sciences. Some of Peng Cheng Laboratory's most productive authors include Khaled B. Letaief, Huchuan Lu, Changsheng Xu, Wangmeng Zuo, Yonghong Tian, Yong Xu, Rongrong Ji, Yu Zhang, Qiang Yang and Dongxiao Zhang.

In The Last Decade

Fields of papers published by authors at Peng Cheng Laboratory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Peng Cheng Laboratory at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Peng Cheng Laboratory at the time of their publication.

Countries citing scholars working at Peng Cheng Laboratory

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Peng Cheng Laboratory. 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 papers produced at Peng Cheng Laboratory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Cheng Laboratory 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