Penghao Wu

1.5k total citations · 1 hit paper
28 papers, 666 citations indexed

About

Penghao Wu is a scholar working on Plant Science, Genetics and Automotive Engineering. According to data from OpenAlex, Penghao Wu has authored 28 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 12 papers in Genetics and 7 papers in Automotive Engineering. Recurrent topics in Penghao Wu's work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Wheat and Barley Genetics and Pathology (7 papers) and Autonomous Vehicle Technology and Safety (5 papers). Penghao Wu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (12 papers), Wheat and Barley Genetics and Pathology (7 papers) and Autonomous Vehicle Technology and Safety (5 papers). Penghao Wu collaborates with scholars based in China, United States and Mexico. Penghao Wu's co-authors include Jiaojiao Ren, Shaojiang Chen, Hongyang Li, Li Chen, Thomas Lübberstedt, Xiaolong Tian, Andreas Geiger, Kashyap Chitta, Bernhard Jaeger and Xiaosong Jia and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Penghao Wu

26 papers receiving 650 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.

End-to-End Autonomous Driving: Challenges and Frontiers

2024 143 citations Li Chen, Penghao Wu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Penghao Wu

GENET

CVPR

Shengjie Zhao China

David Mester Israel

Yanxin Zhang China

Yavuz Selim Taşpınar Türkiye

İlkay Çınar Türkiye

Bing Zeng China

S. P. Dixit India

Eunsoo Park South Korea

Xinze Chen China

Shengjie Zhao China

Penghao Wu

354 ×1.2

33 ×0.2

220 ×1.4

268 ×2.1

GENET

286 ×2.4

CVPR

Citations per year, relative to Penghao Wu Penghao Wu (= 1×) peers Shengjie Zhao

Countries citing papers authored by Penghao Wu

Since Specialization

Citations

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

Fields of papers citing papers by Penghao Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penghao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Penghao Wu. A scholar is included among the top collaborators of Penghao Wu 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 Penghao Wu. Penghao Wu 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:

20 of 20 papers shown

Xu, Ning, Lei Zhang, Penghao Wu, et al.. (2025). Insights into the effects of fucoidan and caffeic acid on pasting, thermal, rheological, freeze-thaw and structural properties of cassava starch. Food Research International. 208. 116025–116025. 4 indexed citations

Gu, Wei, Diansi Yu, Yuan Guan, et al.. (2025). Dynamic molecular regulation of salt stress responses in maize (Zea mays L.) seedlings. Frontiers in Plant Science. 16. 1535943–1535943. 1 indexed citations

Wu, Penghao, Engang Tian, Hongfeng Tao, & Yiyang Chen. (2025). Transfer learning-motivated intelligent fault diagnosis framework for cross-domain knowledge distillation. Neural Networks. 190. 107699–107699.

Xu, Xiaoming, et al.. (2024). Genome-wide association study and genomic selection of brace root traits related to lodging resistance in maize. Scientific Reports. 14(1). 31898–31898. 1 indexed citations

Xu, Ning, et al.. (2024). Effects of Laminaria japonica polysaccharide and coumaric acid on pasting, rheological, retrogradation and structural properties of corn starch. International Journal of Biological Macromolecules. 263(Pt 2). 130343–130343. 27 indexed citations

Ren, Jiaojiao, et al.. (2024). Integration of GWAS models and GS reveals the genetic architecture of ear shank in maize. Gene. 938. 149140–149140. 1 indexed citations

Wu, Penghao, Engang Tian, Hongfeng Tao, & Yiyang Chen. (2024). Data-driven spiking neural networks for intelligent fault detection in vehicle lithium-ion battery systems. Engineering Applications of Artificial Intelligence. 141. 109756–109756. 15 indexed citations

Wang, Xuyang, Jiaojiao Ren, & Penghao Wu. (2024). Analysis of Growth Variation in Maize Leaf Area Index Based on Time-Series Multispectral Images and Random Forest Models. Agronomy. 14(11). 2688–2688. 3 indexed citations

Yang, Jiazhi, Shenyuan Gao, Li Chen, et al.. (2024). Generalized Predictive Model for Autonomous Driving. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 14662–14672. 15 indexed citations

10.

Wu, Penghao & Saining Xie. (2024). V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs. 13084–13094. 10 indexed citations

11.

Chen, Li, Penghao Wu, Kashyap Chitta, et al.. (2024). End-to-End Autonomous Driving: Challenges and Frontiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10164–10183. 143 indexed citations breakdown →

12.

Ren, Jiaojiao, et al.. (2024). Dual-Model GWAS Analysis and Genomic Selection of Maize Flowering Time-Related Traits. Genes. 15(6). 740–740. 3 indexed citations

13.

Jia, Xiaosong, Penghao Wu, Li Chen, et al.. (2023). HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 13860–13875. 90 indexed citations

14.

Ren, Jiaojiao, Penghao Wu, Gordon M. Huestis, et al.. (2022). Identification and fine mapping of a major QTL (qRtsc8-1) conferring resistance to maize tar spot complex and validation of production markers in breeding lines. Theoretical and Applied Genetics. 135(5). 1551–1563. 7 indexed citations

15.

Jia, Xiaosong, et al.. (2022). Trajectory-Guided Control Prediction for End-To-End Autonomous Driving: A Simple Yet Strong Baseline. 6119–6132. 1 indexed citations

16.

Ren, Jiaojiao, Zhimin Li, Penghao Wu, et al.. (2021). Genetic Dissection of Quantitative Resistance to Common Rust (Puccinia sorghi) in Tropical Maize (Zea mays L.) by Combined Genome-Wide Association Study, Linkage Mapping, and Genomic Prediction. Frontiers in Plant Science. 12. 692205–692205. 24 indexed citations

17.

Wu, Penghao, Jiaojiao Ren, Zonghua Liu, et al.. (2020). Mapping of QTL for kernel abortion caused by in vivo haploid induction in maize (Zea mays L.). PLoS ONE. 15(2). e0228411–e0228411. 6 indexed citations

18.

Ren, Jiaojiao, Ruixiang Liu, Penghao Wu, et al.. (2019). Mapping of QTL and identification of candidate genes conferring spontaneous haploid genome doubling in maize (Zea mays L.). Plant Science. 293. 110337–110337. 26 indexed citations

19.

Li, Bo, Karl A. Kremling, Penghao Wu, et al.. (2018). Coregulation of ribosomal RNA with hundreds of genes contributes to phenotypic variation. Genome Research. 28(10). 1555–1565. 15 indexed citations

20.

Ren, Jiaojiao, Penghao Wu, Xiaolong Tian, Thomas Lübberstedt, & Shaojiang Chen. (2017). QTL mapping for haploid male fertility by a segregation distortion method and fine mapping of a key QTL qhmf4 in maize. Theoretical and Applied Genetics. 130(7). 1349–1359. 30 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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