Haoyu Lu

549 citations
22 papers · 291 indexed · 1 hit paper · h-index 5
Topics
Multimodal Machine Learning Applications (6 papers)Domain Adaptation and Few-Shot Learning (5 papers)Advanced Image and Video Retrieval Techniques (3 papers)
Partner nations
ChinaHong KongTaiwan

In The Last Decade

Haoyu Lu

17 papers receiving 285 citations

Hit Papers

Towards artificial general intelligence via a multimodal ...2022202620232024202250100150

Peers

Haoyu Lu
Comparison fields: 5 of 99
  • Artificial Intelligence 123
  • Computer Vision and Pattern Recognition 115
  • Radiology, Nuclear Medicine and Imaging 28
  • Health Informatics 22
  • Biomedical Engineering 19
Replace Nanyi Fei with:
Nanyi Fei China
Shukang Yin China
Zuojin Hu China
Gabriëlle Ras Netherlands
Mohammad Ashraf Ottom Jordan
Ruihua Song China
Haifan Gong China
Bernd Malle Austria
Hieu H. Pham Vietnam
G. N. Vivekananda India
Haoyu Lu relative to Nanyi Fei China Nanyi Fei's profile →
Citations per field
00.5×1.5×
Nanyi Fei · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 2
3 0
4 1
5 2
6 1
7 19
8 2
9 11
10 3
11 0
12 0
13 2
14
Towards artificial general intelligence via a multimodal foundation modelbreakdown →
170
15 2
16 47
17
Compressed Video Contrastive Learning
3
18 16
19 3
20 4

About Haoyu Lu

Haoyu Lu is a scholar working on Computer Vision and Pattern Recognition, Biological Psychiatry and Developmental Neuroscience, having authored 22 papers that have together received 291 indexed citations. Recurring topics across this 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). The work is most often cited by research in Health Informatics (22 citations), Computer Vision and Pattern Recognition (115 citations) and Biological Psychiatry (12 citations). Haoyu Lu has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Zhiwu Lu, Yuqi Huo, Nanyi Fei, Yizhao Gao, Ji-Rong Wen, Tao Xiang, Guoxing Yang, Xin Gao, Ruihua Song and Hao Sun. Their work appears in journals such as Nature Communications, Physics in Medicine and Biology and Phytomedicine.

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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