Junjun Jiang

19.2k total citations · 13 hit papers
282 papers, 13.3k citations indexed

About

Junjun Jiang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Junjun Jiang has authored 282 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 218 papers in Computer Vision and Pattern Recognition, 136 papers in Media Technology and 25 papers in Artificial Intelligence. Recurrent topics in Junjun Jiang's work include Advanced Image Processing Techniques (133 papers), Image and Signal Denoising Methods (79 papers) and Advanced Image Fusion Techniques (69 papers). Junjun Jiang is often cited by papers focused on Advanced Image Processing Techniques (133 papers), Image and Signal Denoising Methods (79 papers) and Advanced Image Fusion Techniques (69 papers). Junjun Jiang collaborates with scholars based in China, United States and Japan. Junjun Jiang's co-authors include Jiayi Ma, Zhongyuan Wang, Pengwei Liang, Xiaojie Guo, Wei Yu, Han Xu, Kui Jiang, Chen Chen, Peng Yi and Xianming Liu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.

In The Last Decade

Junjun Jiang

258 papers receiving 13.0k citations

Hit Papers

FusionGAN: A generative a... 2015 2026 2018 2022 2018 2020 2020 2021 2020 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Junjun Jiang 10.3k 7.0k 2.8k 845 774 282 13.3k
Kyoung Mu Lee 11.3k 1.1× 4.3k 0.6× 979 0.4× 871 1.0× 545 0.7× 194 12.7k
Radu Timofte 12.5k 1.2× 5.8k 0.8× 675 0.2× 1.1k 1.3× 804 1.0× 180 15.0k
Daniel Scharstein 11.9k 1.2× 3.0k 0.4× 2.7k 1.0× 385 0.5× 356 0.5× 41 13.4k
Xiaojie Guo 8.5k 0.8× 4.1k 0.6× 1.4k 0.5× 648 0.8× 423 0.5× 99 9.7k
Ramin Zabih 11.5k 1.1× 2.2k 0.3× 1.6k 0.6× 1.5k 1.8× 425 0.5× 88 14.2k
Jan Flusser 6.6k 0.6× 2.0k 0.3× 1.8k 0.6× 515 0.6× 479 0.6× 148 8.6k
Yong Ma 3.5k 0.3× 4.1k 0.6× 2.2k 0.8× 396 0.5× 394 0.5× 200 6.8k
Yunsong Li 3.8k 0.4× 5.4k 0.8× 1.1k 0.4× 1.1k 1.3× 597 0.8× 421 8.5k
Johannes Totz 10.4k 1.0× 4.8k 0.7× 428 0.2× 925 1.1× 730 0.9× 12 12.5k
Fatih Porikli 10.5k 1.0× 2.0k 0.3× 1.0k 0.4× 2.4k 2.9× 543 0.7× 240 12.6k

Countries citing papers authored by Junjun Jiang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Junjun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Junjun Jiang. A scholar is included among the top collaborators of Junjun Jiang 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 Junjun Jiang. Junjun Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jiang, Junjun, et al.. (2025). Disentangled Pseudo-Bag Augmentation for Whole Slide Image Multiple Instance Learning. IEEE Transactions on Medical Imaging. 44(11). 4181–4197.
2.
Jiang, Junjun, et al.. (2025). Learning Dynamic Prompts for All-in-One Image Restoration. IEEE Transactions on Image Processing. 34. 3997–4010. 3 indexed citations
3.
Jiang, Kui, Ming‐Chien Yang, Yi Xiao, et al.. (2025). Rep-Mamba: Re-Parameterization in Vision Mamba for Lightweight Remote Sensing Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12. 1 indexed citations
4.
Liu, Xianming, et al.. (2025). SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance. IEEE Transactions on Circuits and Systems for Video Technology. 36(3). 3862–3873. 1 indexed citations
5.
Jiang, Junjun, et al.. (2024). Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5318–5326. 5 indexed citations
6.
Jiang, Kui, Junjun Jiang, Xianming Liu, Xin Xu, & Xianzheng Ma. (2024). FMRNet: Image Deraining via Frequency Mutual Revision. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12892–12900. 7 indexed citations
7.
Jiang, Junjun, et al.. (2024). Fully 1 × 1 Convolutional Network for Lightweight Image Super-resolution. 21(6). 1062–1076. 11 indexed citations
8.
Sappa, Ángel D., Boris X. Vintimilla, Chenyang Wang, et al.. (2023). Thermal Image Super-Resolution Challenge Results - PBVS 2023. 470–478. 9 indexed citations
9.
Wang, Wenbin, et al.. (2023). Rethinking 3D-CNN in Hyperspectral Image Super-Resolution. Remote Sensing. 15(10). 2574–2574. 7 indexed citations
10.
Wang, Chenyang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, & Xianming Liu. (2023). Super-Resolving Face Image by Facial Parsing Information. IEEE Transactions on Biometrics Behavior and Identity Science. 5(4). 435–448. 10 indexed citations
11.
Lu, Pengyu, Xinwei Jiang, Yongshan Zhang, et al.. (2023). Spectral–Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 22 indexed citations
12.
Song, Hong, et al.. (2023). DCTNet: A Heterogeneous Dual-Branch Multi-Cascade Network for Infrared and Visible Image Fusion. IEEE Transactions on Instrumentation and Measurement. 72. 1–14. 9 indexed citations
13.
Jiang, Junjun, et al.. (2022). Hyperspectral Image Classification via Spectral Pooling and Hybrid Transformer. Remote Sensing. 14(19). 4732–4732. 11 indexed citations
14.
Wang, Xinya, et al.. (2022). A Group-Based Embedding Learning and Integration Network for Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 28 indexed citations
15.
Wang, Xinya, Jiayi Ma, & Junjun Jiang. (2021). Hyperspectral Image Super-Resolution via Recurrent Feedback Embedding and Spatial–Spectral Consistency Regularization. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 69 indexed citations
16.
Jiang, Kui, Zhongyuan Wang, Peng Yi, et al.. (2021). Rain-Free and Residue Hand-in-Hand: A Progressive Coupled Network for Real-Time Image Deraining. IEEE Transactions on Image Processing. 30. 7404–7418. 124 indexed citations
17.
Liu, Xianming, et al.. (2020). Rapid Whole Slide Imaging via Dual-Shot Deep Autofocusing. IEEE Transactions on Computational Imaging. 7. 124–136. 12 indexed citations
18.
Wang, Zheng, Junjun Jiang, Yi Yu, & Shin’ichi Satoh. (2019). Incremental Re-Identification by Cross-Direction and Cross-Ranking Adaption. IEEE Transactions on Multimedia. 21(9). 2376–2386. 47 indexed citations
19.
Chen, Liang, Qing Li, & Junjun Jiang. (2019). Noisy practical facial super-resolution method via deformable constrained model with small dataset. Multimedia Tools and Applications. 79(3-4). 2577–2600. 1 indexed citations
20.
Hu, Ruimin, et al.. (2019). Semisupervised Discriminant Multimanifold Analysis for Action Recognition. IEEE Transactions on Neural Networks and Learning Systems. 30(10). 2951–2962. 20 indexed citations

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.

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