Peng Dai

13 papers and 408 indexed citations
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About

Peng Dai is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peng Dai has authored 13 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 6 papers in Civil and Structural Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peng Dai’s work include Infrastructure Maintenance and Monitoring (6 papers), Railway Engineering and Dynamics (4 papers) and Vehicle License Plate Recognition (2 papers). Peng Dai is often cited by papers focused on Infrastructure Maintenance and Monitoring (6 papers), Railway Engineering and Dynamics (4 papers) and Vehicle License Plate Recognition (2 papers). Peng Dai collaborates with scholars based in China, United Kingdom and Vietnam. Peng Dai's co-authors include Shengchun Wang, Yunlai Zhou, Xinyu Du, Magd Abdel Wahab, Yu Zheng, Yong Xu, Lianghao Xia, Xiyue Zhang, Chao Huang and Junbo Zhang and has published in prestigious journals such as PLoS ONE, IEEE Access and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Peng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Dai. A scholar is included among the top collaborators of Peng Dai 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 Dai. Peng Dai 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 Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Dai

Since Specialization
Citations

This map shows the geographic impact of Peng Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Dai 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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2026