Daiyi Peng

26 total papers · 1.5k total citations
4 papers, 219 citations indexed

About

Daiyi Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Daiyi Peng has authored 4 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Automotive Engineering. Recurrent topics in Daiyi Peng’s work include Advanced Neural Network Applications (2 papers), Machine Learning and Algorithms (1 paper) and Remote Sensing and LiDAR Applications (1 paper). Daiyi Peng is often cited by papers focused on Advanced Neural Network Applications (2 papers), Machine Learning and Algorithms (1 paper) and Remote Sensing and LiDAR Applications (1 paper). Daiyi Peng collaborates with scholars based in United States and Australia. Daiyi Peng's co-authors include Quoc V. Le, Adams Wei Yu, Mingxing Tan, Ben Caine, Tianjian Meng, Yingwei Li, Jiquan Ngiam, Junyang Shen, Denny Zhou and Alan Yuille and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Daiyi Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Daiyi Peng. A scholar is included among the top collaborators of Daiyi Peng 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 Daiyi Peng. Daiyi Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Daiyi Peng

4 papers receiving 216 citations

Fields of papers citing papers by Daiyi Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daiyi Peng

Since Specialization

Citations

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