Haibao Yu

798 total citations · 1 hit paper
11 papers, 395 citations indexed

About

Haibao Yu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Haibao Yu has authored 11 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Automotive Engineering and 2 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Haibao Yu's work include Autonomous Vehicle Technology and Safety (4 papers), Advanced Neural Network Applications (4 papers) and Video Surveillance and Tracking Methods (3 papers). Haibao Yu is often cited by papers focused on Autonomous Vehicle Technology and Safety (4 papers), Advanced Neural Network Applications (4 papers) and Video Surveillance and Tracking Methods (3 papers). Haibao Yu collaborates with scholars based in China, Hong Kong and United States. Haibao Yu's co-authors include Zaiqing Nie, Jirui Yuan, Yifeng Shi, Zhenglong Guo, Hanyu Li, Yizhen Luo, Zebang Yang, Xing Hu, Wenxian Yang and Xu Gao and has published in prestigious journals such as IEEE Internet of Things Journal, ACM Transactions on Reconfigurable Technology and Systems and Journal of Eye Movement Research.

In The Last Decade

Haibao Yu

8 papers receiving 389 citations

Hit Papers

align trajectories

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.

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

2022 277 citations Haibao Yu, Yizhen Luo et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Haibao Yu

CVPR

AE

EE

EEE

Jirui Yuan China

Zhenglong Guo China

Yizhen Luo China

Yifeng Shi China

Felix Nobis Germany

Hossein Tehrani Japan

Takashi Naito Japan

R. Omar Chavéz-García Switzerland

Hyunggi Cho United States

Luis Yoichi Morales Japan

Jirui Yuan China

Haibao Yu

291 ×1.2

CVPR

139 ×1.0

AE

91 ×1.1

AE

65 ×1.1

EE

42 ×0.9

EEE

Citations per year, relative to Haibao Yu Haibao Yu (= 1×) peers Jirui Yuan

Countries citing papers authored by Haibao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Haibao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibao Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Yang, Wenxian, et al.. (2025). LiDAR-Based End-to-End Temporal Perception for Vehicle-Infrastructure Cooperation. IEEE Internet of Things Journal. 12(13). 22862–22874.

2.

Yang, Xin, et al.. (2025). Efficiency Analysis of Disruptive Color in Military Camouflage Patterns Based on Eye Movement Data. Journal of Eye Movement Research. 18(4). 26–26.

3.

Lo, Frank P.-W., Jianing Qiu, Zeyu Wang, et al.. (2025). AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening. 4184–4193. 1 indexed citations

4.

Fan, Siqi, Zhenlin Zhang, Haibao Yu, et al.. (2024). RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception. 22347–22357. 16 indexed citations

5.

Fan, Siqi, Haibao Yu, Wenxian Yang, Jirui Yuan, & Zaiqing Nie. (2024). QUEST: Query Stream for Practical Cooperative Perception. 18436–18442. 7 indexed citations

6.

Fan, Siqi, et al.. (2024). Learning Cooperative Trajectory Representations for Motion Forecasting. 13430–13457.

7.

Yu, Haibao, Wenxian Yang, Z. Yang, et al.. (2023). V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting. 5486–5495. 81 indexed citations

8.

Yu, Haibao, Yizhen Luo, Zebang Yang, et al.. (2022). DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 21329–21338. 277 indexed citations breakdown →

9.

Wang, Zhirui, et al.. (2021). Analysis of the influence of lately excavated tunnel blasting on the vibration of early excavated tunnel in small-space tunnel. IOP Conference Series Earth and Environmental Science. 643(1). 12025–12025. 2 indexed citations

10.

He, Zhezhi, Qingzheng Li, Qi Han, et al.. (2021). BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization. ACM Transactions on Reconfigurable Technology and Systems. 14(4). 1–28. 3 indexed citations

11.

Yu, Haibao, et al.. (2020). Low-bit Quantization Needs Good Distribution. 2909–2918. 8 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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