Peng Zheng

About

Peng Zheng is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Peng Zheng has authored 29 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in Peng Zheng’s work include Sparse and Compressive Sensing Techniques (3 papers), Statistical Methods and Inference (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Peng Zheng is often cited by papers focused on Sparse and Compressive Sensing Techniques (3 papers), Statistical Methods and Inference (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Peng Zheng collaborates with scholars based in United States, China and Canada. Peng Zheng's co-authors include Aleksandr Y. Aravkin, J. Nathan Kutz, Steven L. Brunton, Travis Askham, Lionel M. Ni, N. Benjamin Erichson, Krithika Manohar, Christopher J L Murray, Reed J D Sorensen and Ryan M Barber and has published in prestigious journals such as JAMA, Nature Medicine and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Peng Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Zheng. A scholar is included among the top collaborators of Peng Zheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Zheng. Peng Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Peng Zheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Zheng

Since Specialization

Citations

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