Yizhen Luo

573 total citations · 1 hit paper
6 papers, 314 citations indexed

About

Yizhen Luo is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Yizhen Luo has authored 6 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Yizhen Luo's work include Machine Learning in Materials Science (2 papers), Computational Drug Discovery Methods (2 papers) and Recommender Systems and Techniques (1 paper). Yizhen Luo is often cited by papers focused on Machine Learning in Materials Science (2 papers), Computational Drug Discovery Methods (2 papers) and Recommender Systems and Techniques (1 paper). Yizhen Luo collaborates with scholars based in China. Yizhen Luo's co-authors include Zaiqing Nie, Zhenglong Guo, Hanyu Li, Yifeng Shi, Haibao Yu, Zebang Yang, Xing Hu, Jirui Yuan, Jiahuan Zhang and Yushuai Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Biomedical and Health Informatics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Yizhen Luo

6 papers receiving 310 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

Yizhen Luo

CVPR

AE

AI

EE

Zebang Yang China

Haibao Yu China

Yiqi Zhong China

Tongyi Cao Hong Kong

Christophe Blanc France

Jamil Fayyad Canada

Guoxin Zhang China

Markéta Dubská Czechia

Junjiao Tian United States

Hang Zhao China

Zebang Yang China

Yizhen Luo

187 ×1.0

CVPR

91 ×1.0

AE

78 ×1.0

AE

30 ×0.6

AI

48 ×1.0

EE

Citations per year, relative to Yizhen Luo Yizhen Luo (= 1×) peers Zebang Yang

Countries citing papers authored by Yizhen Luo

Since Specialization

Citations

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

Fields of papers citing papers by Yizhen Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yizhen Luo

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

6 of 6 papers shown

1.

Luo, Yizhen, Kai Yang, Kui Huang, et al.. (2024). Toward Unified AI Drug Discovery with Multimodal Knowledge. SHILAP Revista de lepidopterología. 4. 113–113. 8 indexed citations

2.

Luo, Yizhen, et al.. (2024). Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge. 2082–2093. 4 indexed citations

3.

Luo, Yizhen, Jiahuan Zhang, Siqi Fan, et al.. (2024). BioMedGPT: An Open Multimodal Large Language Model for BioMedicine. IEEE Journal of Biomedical and Health Informatics. 30(2). 981–992. 12 indexed citations

4.

Luo, Yizhen, Jiawen Zhou, Liuqing Yang, et al.. (2024). ECG-LM: Understanding Electrocardiogram with a Large Language Model. SHILAP Revista de lepidopterología. 5. 221–221. 4 indexed citations

5.

Cen, Yukuo, Zhenyu Hou, Qibin Chen, et al.. (2023). CogDL: A Comprehensive Library for Graph Deep Learning. 747–758. 9 indexed citations

6.

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 →

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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