Yue Huang
- Computer Vision and Pattern Recognition top 0.05%
- Media Technology top 0.05%
- Artificial Intelligence top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Biomedical Engineering top 5%
- Co-authors
- Xinghao DingXueyang FuJohn PaisleyDelu ZengXiao–Ping ZhangYinghao LiaoJia‐Bin HuangChaoqi Chen
- Topics
- Image Enhancement Techniques (36 papers)Advanced Image Fusion Techniques (33 papers)Image and Signal Denoising Methods (26 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yue Huang
235 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Computer Vision and Pattern Recognition 6.2k
- Media Technology 3.2k
- Artificial Intelligence 1.3k
- Radiology, Nuclear Medicine and Imaging 627
- Biomedical Engineering 550
Countries citing papers authored by Yue Huang
This map shows the geographic impact of Yue Huang'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 Yue Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Huang more than expected).
Fields of papers citing papers by Yue Huang
This network shows the impact of papers produced by Yue Huang. 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 Yue Huang. The network helps show where Yue Huang may publish in the future.
Co-authorship network of co-authors of Yue Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Yue Huang. A scholar is included among the top collaborators of Yue Huang 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 Yue Huang. Yue Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 13 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | Exosomes Derived from Bone Mesenchymal Stem Cells with the Stimulation of Fe3O4 Nanoparticles and Static Magnetic Field Enhance Wound Healing Through Upregulated miR-21-5p | 5 |
| 18 | 25 | |
| 19 | 3 | |
| 20 | Removing Rain from Single Images via a Deep Detail Networkbreakdown → | 796 |
About Yue Huang
Yue Huang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 259 papers that have together received 8.6k indexed citations. Recurring topics across this work include Image Enhancement Techniques (36 papers), Advanced Image Fusion Techniques (33 papers) and Image and Signal Denoising Methods (26 papers). The work is most often cited by research in Media Technology (3.2k citations), Computer Vision and Pattern Recognition (6.2k citations) and Artificial Intelligence (1.3k citations). Yue Huang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xinghao Ding, Xueyang Fu, John Paisley, Delu Zeng, Xiao–Ping Zhang, Yinghao Liao, Jia‐Bin Huang, Chaoqi Chen, Yuwen Hu and Junfeng Yang. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and ACS Nano.
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.