Junjun Jiang
Impact in
- Media Technology top 0.01%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Image Processing Techniques 133
- Image and Signal Denoising Methods 79
- Advanced Vision and Imaging 68
- Advanced Image and Video Retrieval Techniques 27
- Image Enhancement Techniques 26
- Media Technology 136
- Advanced Image Fusion Techniques 69
- Image Processing Techniques and Applications 60
- Remote-Sensing Image Classification 28
- Co-authors
- Jiayi Ma (80 shared papers)Zhongyuan Wang (50 shared papers)Pengwei Liang (10 shared papers)Wei Yu (4 shared papers)Xiaojie Guo (9 shared papers)Han Xu (5 shared papers)Kui Jiang (48 shared papers)Chen Chen (21 shared papers)
- Journals
- IEEE Transactions on Image Processing (21 papers)IEEE Transactions on Geoscience and Remote Sensing (15 papers)IEEE Transactions on Neural Networks and Learning Systems (9 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (9 papers)Information Fusion (8 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Junjun Jiang
261 papers receiving 13.6k citations
Junjun Jiang's Hit Papers
Peers
Comparison fields: 5 of 154
- Media Technology 7.2k
- Computer Vision and Pattern Recognition 10.5k
- Aerospace Engineering 2.8k
- Geology 214
- Computer Graphics and Computer-Aided Design 99
Countries citing papers authored by Junjun Jiang
This map shows the geographic impact of Junjun Jiang'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 Junjun Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjun Jiang more than expected).
Fields of papers citing papers by Junjun Jiang
This network shows the impact of papers produced by Junjun Jiang. 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 Junjun Jiang. The network helps show where Junjun Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjun Jiang, 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 284 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FusionGAN: A generative adversarial network for infrared and visible image fusion Hit paper breakdown → | 2018 | 1478 |
| 2 | DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion Hit paper breakdown → | 2020 | 916 |
| 3 | Image Matching from Handcrafted to Deep Features: A Survey Hit paper breakdown → | 2020 | 670 |
| 4 | Image fusion meets deep learning: A survey and perspective Hit paper breakdown → | 2021 | 534 |
| 5 | Multi-Scale Progressive Fusion Network for Single Image Deraining Hit paper breakdown → | 2020 | 508 |
| 6 | Locality Preserving Matching Hit paper breakdown → | 2018 | 482 |
| 7 | Edge-Enhanced GAN for Remote Sensing Image Superresolution Hit paper breakdown → | 2019 | 435 |
| 8 | Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming Hit paper breakdown → | 2015 | 400 |
| 9 | FusionDN: A Unified Densely Connected Network for Image Fusion Hit paper breakdown → | 2020 | 366 |
| 10 | Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion Hit paper breakdown → | 2020 | 366 |
| 11 | Infrared and visible image fusion via detail preserving adversarial learning Hit paper breakdown → | 2019 | 346 |
| 12 | 2018 | 245 | |
| 13 | 2020 | 207 | |
| 14 | 2019 | 176 | |
| 15 | 2019 | 176 | |
| 16 | 2014 | 164 | |
| 17 | 2018 | 159 | |
| 18 | 2019 | 143 | |
| 19 | 2018 | 140 | |
| 20 | 2015 | 140 |
About Junjun Jiang
Junjun Jiang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Computational Mechanics and Aerospace Engineering, having authored 284 papers that have together received 13.8k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (133 papers), Image and Signal Denoising Methods (79 papers), Advanced Image Fusion Techniques (69 papers), Advanced Vision and Imaging (68 papers), Image Processing Techniques and Applications (60 papers), Remote-Sensing Image Classification (28 papers), Advanced Image and Video Retrieval Techniques (27 papers) and Image Enhancement Techniques (26 papers). The work is most often cited by research in Media Technology (7.2k citations), Computer Vision and Pattern Recognition (10.5k citations), Aerospace Engineering (2.8k citations), Geology (214 citations) and Computer Graphics and Computer-Aided Design (99 citations). Junjun Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jiayi Ma, Zhongyuan Wang, Pengwei Liang, Wei Yu, Xiaojie Guo, Han Xu, Kui Jiang, Chen Chen, Peng Yi and Xianming Liu. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence and Information Fusion.
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.