Jinyu Yang
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
Papers in
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- Multimodal Machine Learning Applications 7
- Advanced Image and Video Retrieval Techniques 3
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- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- Junzhou Huang (12 shared papers)Qin Ma (6 shared papers)Adam McDermaid (4 shared papers)Son Ngoc Tran (3 shared papers)Trishul M. Chilimbi (3 shared papers)Jiali Duan (2 shared papers)Weizhi An (5 shared papers)Belinda Zeng (2 shared papers)
- Journals
- Briefings in Bioinformatics (3 papers)Food Chemistry (2 papers)Bioinformatics (2 papers)Frontiers in Microbiology (1 paper)Nature (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jinyu Yang
47 papers receiving 1.6k citations
Jinyu Yang's Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 386
- Artificial Intelligence 451
- Clinical Biochemistry 64
- Molecular Biology 642
- Virology 36
Countries citing papers authored by Jinyu Yang
This map shows the geographic impact of Jinyu Yang'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 Jinyu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyu Yang more than expected).
Fields of papers citing papers by Jinyu Yang
This network shows the impact of papers produced by Jinyu Yang. 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 Jinyu Yang. The network helps show where Jinyu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinyu Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 275 | |
| 2 | Vision-Language Pre-Training with Triple Contrastive Learning Hit paper breakdown → | 2022 | 212 |
| 3 | 2023 | 109 | |
| 4 | 2019 | 90 | |
| 5 | 2020 | 78 | |
| 6 | 2023 | 76 | |
| 7 | 2019 | 53 | |
| 8 | 2021 | 53 | |
| 9 | 2019 | 51 | |
| 10 | 2018 | 50 | |
| 11 | 2017 | 48 | |
| 12 | 2022 | 47 | |
| 13 | 2019 | 47 | |
| 14 | 2016 | 47 | |
| 15 | 2021 | 44 | |
| 16 | 2017 | 44 | |
| 17 | 2021 | 31 | |
| 18 | 2017 | 31 | |
| 19 | 2021 | 25 | |
| 20 | 2018 | 25 |
About Jinyu Yang
Jinyu Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Food Science and Plant Science, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (7 papers), Genomics and Phylogenetic Studies (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), Genomics and Chromatin Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), Polysaccharides Composition and Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (386 citations), Artificial Intelligence (451 citations), Clinical Biochemistry (64 citations), Molecular Biology (642 citations) and Virology (36 citations). Jinyu Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Junzhou Huang, Qin Ma, Adam McDermaid, Son Ngoc Tran, Trishul M. Chilimbi, Jiali Duan, Weizhi An, Belinda Zeng, Li-Qun Chen and Yi Xu. Their work appears in journals such as Briefings in Bioinformatics, Food Chemistry, Bioinformatics, Frontiers in Microbiology and Nature.
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.