Juncheng Li
Impact in
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- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Image and Signal Denoising Methods
- Signal Processing top 1%
- Music and Audio Processing
Papers in
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- Advanced Image Processing Techniques 30
- Multimodal Machine Learning Applications 21
- Image Enhancement Techniques 11
- Medical Image Segmentation Techniques 6
- Advanced Neural Network Applications 5
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- AI in cancer detection 9
- Domain Adaptation and Few-Shot Learning 7
- Co-authors
- Faming Fang (13 shared papers)Guixu Zhang (14 shared papers)Kangfu Mei (7 shared papers)Tieyong Zeng (20 shared papers)Florian Metze (12 shared papers)Guangwei Gao (19 shared papers)Samarjit Das (5 shared papers)Shuhui Qu (3 shared papers)
In The Last Decade
Juncheng Li
129 papers receiving 4.8k citations
Juncheng Li's Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 3.4k
- Signal Processing 365
- Biomaterials 236
- Polymers and Plastics 189
- Artificial Intelligence 503
Countries citing papers authored by Juncheng Li
This map shows the geographic impact of Juncheng Li'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 Juncheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juncheng Li more than expected).
Fields of papers citing papers by Juncheng Li
This network shows the impact of papers produced by Juncheng Li. 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 Juncheng Li. The network helps show where Juncheng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Juncheng Li, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multi-scale Residual Network for Image Super-Resolution Hit paper breakdown → | 2018 | 697 |
| 2 | Transformer for Single Image Super-Resolution Hit paper breakdown → | 2022 | 474 |
| 3 | Very deep convolutional neural networks for raw waveforms Hit paper breakdown → | 2017 | 267 |
| 4 | 2022 | 194 | |
| 5 | 2018 | 190 | |
| 6 | 2020 | 153 | |
| 7 | 2018 | 126 | |
| 8 | 2020 | 123 | |
| 9 | 2017 | 121 | |
| 10 | 2023 | 121 | |
| 11 | 2022 | 115 | |
| 12 | 2023 | 113 | |
| 13 | 2019 | 109 | |
| 14 | 2019 | 109 | |
| 15 | 2021 | 109 | |
| 16 | 2023 | 107 | |
| 17 | 2022 | 105 | |
| 18 | 2020 | 97 | |
| 19 | 2021 | 79 | |
| 20 | 2020 | 75 |
About Juncheng Li
Juncheng Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Health Informatics and Biomaterials, having authored 142 papers that have together received 5k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (30 papers), Multimodal Machine Learning Applications (21 papers), Image Enhancement Techniques (11 papers), AI in cancer detection (9 papers), Music and Audio Processing (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Signal Processing (365 citations), Biomaterials (236 citations), Polymers and Plastics (189 citations) and Artificial Intelligence (503 citations). Juncheng Li has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Faming Fang, Guixu Zhang, Kangfu Mei, Tieyong Zeng, Florian Metze, Guangwei Gao, Samarjit Das, Shuhui Qu, Chaoyan Huang and Zhisheng Lu. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Medical Imaging, Pattern Recognition, IEEE Journal of Biomedical and Health Informatics and International Journal of Biological Macromolecules.
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.