L. Yang
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
- Image and Signal Denoising Methods
- Human Pose and Action Recognition
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- Computer Graphics and Visualization Techniques
Papers in
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- Advanced Graph Neural Networks 5
- Neural Networks and Applications 3
- Domain Adaptation and Few-Shot Learning 2
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- Labor market dynamics and wage inequality 5
- Fiscal Policy and Economic Growth 2
- Co-authors
- Shenda Hong (5 shared papers)Wentao Zhang (7 shared papers)Bin Cui (8 shared papers)Zhilong Zhang (2 shared papers)Ming–Hsuan Yang (1 shared paper)Runsheng Xu (1 shared paper)Yang Song (1 shared paper)Yue Zhao (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (3 papers)Computers & Structures (1 paper)Advanced Functional Materials (1 paper)Economics Letters (1 paper)Experimental Gerontology (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
L. Yang
50 papers receiving 1.2k citations
L. Yang's Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 393
- Computer Graphics and Computer-Aided Design 47
- Artificial Intelligence 379
- Health Informatics 10
- Media Technology 54
Countries citing papers authored by L. Yang
This map shows the geographic impact of L. 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 L. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Yang more than expected).
Fields of papers citing papers by L. Yang
This network shows the impact of papers produced by L. 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 L. Yang. The network helps show where L. Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside L. 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diffusion Models: A Comprehensive Survey of Methods and Applications Hit paper breakdown → | 2023 | 763 |
| 2 | 2020 | 174 | |
| 3 | 2009 | 51 | |
| 4 | 2023 | 37 | |
| 5 | 2018 | 27 | |
| 6 | 2009 | 18 | |
| 7 | 2006 | 15 | |
| 8 | 2023 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2016 | 11 | |
| 11 | 2024 | 11 | |
| 12 | 1996 | 10 | |
| 13 | 2008 | 10 | |
| 14 | 2016 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 1969 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 1969 | 5 | |
| 20 | 2025 | 5 |
About L. Yang
L. Yang is a scholar working on Artificial Intelligence, Economics and Econometrics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Civil and Structural Engineering, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (5 papers), Labor market dynamics and wage inequality (5 papers), Gender, Labor, and Family Dynamics (4 papers), Higher Education Research Studies (4 papers), Advancements in Battery Materials (3 papers), Neural Networks and Applications (3 papers), Fiscal Policy and Economic Growth (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (393 citations), Computer Graphics and Computer-Aided Design (47 citations), Artificial Intelligence (379 citations), Health Informatics (10 citations) and Media Technology (54 citations). L. Yang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Shenda Hong, Wentao Zhang, Bin Cui, Zhilong Zhang, Ming–Hsuan Yang, Runsheng Xu, Yang Song, Yue Zhao, Zilun Zhang and Xinyu Zhou. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Computers & Structures, Advanced Functional Materials, Economics Letters and Experimental Gerontology.
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.