Haoyu Lu

549 total citations · 1 hit paper
22 papers, 291 citations indexed

About

Haoyu Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Haoyu Lu has authored 22 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Haoyu Lu's work include Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Haoyu Lu is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Haoyu Lu collaborates with scholars based in China, Hong Kong and Taiwan. Haoyu Lu's co-authors include Zhiwu Lu, Yuqi Huo, Nanyi Fei, Yizhao Gao, Ji-Rong Wen, Tao Xiang, Xin Gao, Hao Sun, Guoxing Yang and Ruihua Song and has published in prestigious journals such as Nature Communications, Physics in Medicine and Biology and Phytomedicine.

In The Last Decade

Haoyu Lu

17 papers receiving 285 citations

Hit Papers

Towards artificial general intelligence via a multimodal ... 2022 2026 2023 2024 2022 50 100 150
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. Towards artificial general intelligence via a multimodal foundation model
    2022 170 citations Nanyi Fei, Zhiwu Lu et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haoyu Lu China 5 123 115 28 22 19 22 291
Nanyi Fei China 5 155 1.3× 141 1.2× 32 1.1× 22 1.0× 14 0.7× 9 302
Ahmet İlhan Cyprus 8 137 1.1× 137 1.2× 79 2.8× 12 0.5× 20 1.1× 18 424
Ruihua Song China 7 144 1.2× 87 0.8× 21 0.8× 23 1.0× 9 0.5× 20 322
Md. Abul Ala Walid Bangladesh 9 113 0.9× 64 0.6× 46 1.6× 6 0.3× 17 0.9× 45 255
Oscar Li United States 5 304 2.5× 101 0.9× 35 1.3× 34 1.5× 10 0.5× 14 383
Bernd Malle Austria 4 165 1.3× 39 0.3× 20 0.7× 33 1.5× 11 0.6× 4 266
А.В. Куракин United States 6 284 2.3× 151 1.3× 23 0.8× 6 0.3× 13 0.7× 8 361
Ambeshwar Kumar India 7 92 0.7× 80 0.7× 41 1.5× 18 0.8× 11 0.6× 14 213
Zuojin Hu China 6 81 0.7× 65 0.6× 68 2.4× 16 0.7× 18 0.9× 19 217
Saqib Ali China 8 102 0.8× 76 0.7× 90 3.2× 7 0.3× 19 1.0× 13 244

Countries citing papers authored by Haoyu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Haoyu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoyu Lu

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

All Works

20 of 20 papers shown
1.
Wu, Jia‐Jia, et al.. (2025). Neural Correlates and Adaptive Mechanisms in Vascular Cognitive Impairment: Exploration of a Structure–Function Coupling Network. CNS Neuroscience & Therapeutics. 31(3). e70205–e70205. 2 indexed citations
2.
Lu, Haoyu, Zhenzhen Ma, Junpeng Zhang, et al.. (2025). Response to Questions Regarding “Altered Resting-State Electroencephalogram Microstate Characteristics in Stroke Patients”. Journal of Integrative Neuroscience. 24(7). 42715–42715.
3.
Huo, Yuqi, Longteng Guo, Haoyu Lu, et al.. (2025). Efficient Motion-Aware Video MLLM. 24159–24168.
4.
Lu, Haoyu, Sen Luo, Weiling Wang, & Miaoyong Zhu. (2024). Graphics‐Processing‐Unit‐Accelerated 3D Online Heat Transfer and Solidification Model for Continuously Cast Slab. steel research international. 95(8). 1 indexed citations
5.
Lu, Juanjuan, Jie Ma, Jia‐Jia Wu, et al.. (2024). Tongue coating-dependent superior temporal sulcus remodeling in amnestic mild cognitive impairment. Brain Research Bulletin. 214. 110995–110995. 2 indexed citations
6.
Lu, Haoyu, et al.. (2024). Altered Resting-State Electroencephalogram Microstate Characteristics in Stroke Patients. Journal of Integrative Neuroscience. 23(9). 176–176. 1 indexed citations
7.
Lu, Haoyu, Dongxue Zhang, Jianming Li, et al.. (2024). Total paeony glycoside relieves neuroinflammation to exert antidepressant effect via the interplay between NLRP3 inflammasome, pyroptosis and autophagy. Phytomedicine. 128. 155519–155519. 19 indexed citations
8.
Lu, Haoyu, et al.. (2024). Multi-Level Contrastive Learning For Hybrid Cross-Modal Retrieval. 6390–6394. 2 indexed citations
9.
Lu, Haoyu, Yuqi Huo, Mingyu Ding, Nanyi Fei, & Zhiwu Lu. (2023). Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval. 20(4). 569–582. 11 indexed citations
10.
Lu, Haoyu, et al.. (2023). A Topology Based Denoising Approach for 2D Scalar Fields. 101–105.
11.
12.
13.
Jiang, Jianyong, Haihao Wang, Yuan Meng, et al.. (2023). A virtual-pinhole PET device for improving contrast recovery and enhancing lesion detectability of a one-meter-long PET scanner: a simulation study. Physics in Medicine and Biology. 68(14). 145011–145011. 3 indexed citations
14.
Fei, Nanyi, Zhiwu Lu, Yizhao Gao, et al.. (2022). Towards artificial general intelligence via a multimodal foundation model. Nature Communications. 13(1). 3094–3094. 170 indexed citations breakdown →
15.
Lu, Haoyu, S. H. Lin, Yiwen Chen, et al.. (2022). Breast carcinoma-amplified sequence 2 regulates adult neurogenesis via β-catenin. Stem Cell Research & Therapy. 13(1). 160–160. 2 indexed citations
16.
Lu, Haoyu, Nanyi Fei, Yuqi Huo, et al.. (2022). COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15671–15680. 47 indexed citations
17.
Huo, Yuqi, Mingyu Ding, Haoyu Lu, et al.. (2021). Compressed Video Contrastive Learning. Neural Information Processing Systems. 34. 3 indexed citations
18.
Huo, Yuqi, Mingyu Ding, Haoyu Lu, et al.. (2021). Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw. 751–757. 16 indexed citations
19.
Lu, Haoyu & Koun‐Tem Sun. (2020). Classroom System with Intelligent Epidemic Prevention of COVID-19. 3 indexed citations
20.
Chen, Yan, et al.. (2018). Self-embedding Image Watermarking based on Combined Decision Using Pre-offset and Post-offset Blocks. Computers, materials & continua/Computers, materials & continua (Print). 57(2). 243–260. 4 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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