Chenlin Meng
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Image and Signal Denoising Methods
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- Computer Graphics and Visualization Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 5
- Advanced Image and Video Retrieval Techniques 3
- Multimodal Machine Learning Applications 2
- Advanced Neural Network Applications 2
- Handwritten Text Recognition Techniques 1
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Stefano Ermon (13 shared papers)Robin Rombach (1 shared paper)Tim Salimans (1 shared paper)Ruiqi Gao (1 shared paper)Jonathan B. Ho (1 shared paper)Diederik P. Kingma (1 shared paper)Jiaming Song (3 shared papers)Marshall Burke (4 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)arXiv (Cornell University) (1 paper)Neural Information Processing Systems (1 paper)IEEE Expert (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Chenlin Meng
18 papers receiving 341 citations
Chenlin Meng's Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 186
- Computer Graphics and Computer-Aided Design 26
- Media Technology 39
- Artificial Intelligence 97
- Statistical and Nonlinear Physics 33
Countries citing papers authored by Chenlin Meng
This map shows the geographic impact of Chenlin Meng'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 Chenlin Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenlin Meng more than expected).
Fields of papers citing papers by Chenlin Meng
This network shows the impact of papers produced by Chenlin Meng. 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 Chenlin Meng. The network helps show where Chenlin Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenlin Meng, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On Distillation of Guided Diffusion Models Hit paper breakdown → | 2023 | 197 |
| 2 | D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation | 2021 | 33 |
| 3 | 2022 | 20 | |
| 4 | 2019 | 20 | |
| 5 | 2019 | 16 | |
| 6 | 2023 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 1991 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 2 | |
| 15 | Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation | 2020 | 1 |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2025 | 0 |
About Chenlin Meng
Chenlin Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Statistical and Nonlinear Physics and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 357 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Model Reduction and Neural Networks (2 papers), Multimodal Machine Learning Applications (2 papers), Advanced Neural Network Applications (2 papers), Remote-Sensing Image Classification (2 papers) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (186 citations), Computer Graphics and Computer-Aided Design (26 citations), Media Technology (39 citations), Artificial Intelligence (97 citations) and Statistical and Nonlinear Physics (33 citations). Chenlin Meng has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Stefano Ermon, Robin Rombach, Tim Salimans, Ruiqi Gao, Jonathan B. Ho, Diederik P. Kingma, Jiaming Song, Marshall Burke, David B. Lobell and Abhishek Kumar Sinha. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University), Neural Information Processing Systems, IEEE Expert and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.