Daiyi Peng

1.5k total citations · 1 hit paper
5 papers, 322 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 5 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 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 (3 papers), Adversarial Robustness in Machine Learning (1 paper) and Brain Tumor Detection and Classification (1 paper). Daiyi Peng is often cited by papers focused on Advanced Neural Network Applications (3 papers), Adversarial Robustness in Machine Learning (1 paper) and Brain Tumor Detection and Classification (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, Alan Yuille, Tianjian Meng, Yingwei Li, Yifeng Lu, Ben Caine, Jiquan Ngiam and Junyang Shen 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

Daiyi Peng

5 papers receiving 309 citations

Hit Papers

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D O... 2022 2026 2023 2024 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
    2022 301 citations Yingwei Li, Adams Wei Yu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Daiyi Peng
Yifeng Lu China
Ben Caine United States
Guoxin Zhang China
Jianhui Liu China
Zhengxu Yu China
Qingqiu Huang China
Inwook Shim South Korea
Dibet Garcia Gonzalez Portugal
Jae Shin Yoon United States
Yifeng Lu China
Daiyi Peng
Citations per year, relative to Daiyi Peng Daiyi Peng (= 1×) peers Yifeng Lu

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).

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.

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.

All Works

5 of 5 papers shown
1.
Li, Yingwei, Adams Wei Yu, Tianjian Meng, et al.. (2022). DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17161–17170. 301 indexed citations breakdown →
2.
Miao, Yingjie, Daiyi Peng, Esteban Real, et al.. (2021). Evolving Reinforcement Learning Algorithms. arXiv (Cornell University). 8 indexed citations
3.
Peng, Daiyi, Xuanyi Dong, Esteban Real, et al.. (2021). PyGlove: Symbolic Programming for Automated Machine Learning. arXiv (Cornell University). 33. 96–108. 2 indexed citations
4.
Zhou, Yanqi, Xuanyi Dong, Daiyi Peng, et al.. (2021). NAHAS: Neural Architecture and Hardware Accelerator Search. 1 indexed citations
5.
Dong, Xuanyi, Mingxing Tan, Adams Wei Yu, et al.. (2020). AutoHAS: Differentiable Hyper-parameter and Architecture Search.. arXiv (Cornell University). 10 indexed citations

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