Jinjian Wu

5.7k total citations · 3 hit papers
169 papers, 4.2k citations indexed

About

Jinjian Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Jinjian Wu has authored 169 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Computer Vision and Pattern Recognition, 62 papers in Media Technology and 21 papers in Cognitive Neuroscience. Recurrent topics in Jinjian Wu's work include Image and Video Quality Assessment (95 papers), Visual Attention and Saliency Detection (53 papers) and Advanced Image Fusion Techniques (49 papers). Jinjian Wu is often cited by papers focused on Image and Video Quality Assessment (95 papers), Visual Attention and Saliency Detection (53 papers) and Advanced Image Fusion Techniques (49 papers). Jinjian Wu collaborates with scholars based in China, Singapore and United States. Jinjian Wu's co-authors include Guangming Shi, Weisheng Dong, Leida Li, Weisi Lin, Xin Li, Anmin Liu, Xun Cao, Yuming Fang, Guangyu Li and Guangming Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Jinjian Wu

156 papers receiving 4.1k citations

Hit Papers

Hyperspectral Image Super-Resolution via Non-Negative Str... 2016 2026 2019 2022 2016 2020 2024 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation
    2016 431 citations Weisheng Dong, Guangming Shi et al. IEEE Transactions on Image Processing profile →
  2. MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment
    2020 254 citations Hancheng Zhu, Leida Li et al. profile →
  3. Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification
    2024 62 citations Jie Feng, Ronghua Shang et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Jinjian Wu
Leida Li China
Rajiv Soundararajan India
Kede Ma Hong Kong
Damon M. Chandler United States
Quan Huynh‐Thu France
Jack Tumblin United States
Boxin Shi China
S.S. Hemami United States
Keigo Hirakawa United States
Leida Li China
Jinjian Wu
Citations per year, relative to Jinjian Wu Jinjian Wu (= 1×) peers Leida Li

Countries citing papers authored by Jinjian Wu

Since Specialization
Citations

This map shows the geographic impact of Jinjian Wu'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 Jinjian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinjian Wu more than expected).

Fields of papers citing papers by Jinjian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinjian Wu. 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 Jinjian Wu. The network helps show where Jinjian Wu may publish in the future.

Co-authorship network of co-authors of Jinjian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinjian Wu. A scholar is included among the top collaborators of Jinjian Wu 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 Jinjian Wu. Jinjian Wu 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.
Li, Leida, et al.. (2024). Emotion-aware hierarchical interaction network for multimodal image aesthetics assessment. Pattern Recognition. 154. 110584–110584. 6 indexed citations
2.
Liu, Yongxu, et al.. (2024). Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3792–3801. 4 indexed citations
3.
Wu, Jinjian, et al.. (2024). Fast Window-Based Event Denoising With Spatiotemporal Correlation Enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 1381–1394. 1 indexed citations
4.
Yang, Wen, et al.. (2024). Learning Frame-Event Fusion for Motion Deblurring. IEEE Transactions on Image Processing. 33. 6836–6849. 2 indexed citations
5.
Feng, Jie, Ronghua Shang, Jinjian Wu, et al.. (2024). Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 62 indexed citations breakdown →
6.
Wu, Jinjian, et al.. (2023). Transfer learning for just noticeable difference estimation. Information Sciences. 648. 119575–119575. 2 indexed citations
7.
Guo, Anjing, et al.. (2023). Surface defect detection competition with a bio-inspired vision sensor. National Science Review. 10(6). nwad130–nwad130. 3 indexed citations
8.
Li, Leida, Pengfei Chen, Jinjian Wu, et al.. (2023). AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment. 1117–1126. 11 indexed citations
9.
Zhou, Yu, et al.. (2023). Quality Assessment for Stitched Panoramic Images via Patch Registration and Bidimensional Feature Aggregation. IEEE Transactions on Multimedia. 26. 3354–3365. 7 indexed citations
10.
Chen, Pengfei, Leida Li, Haoliang Li, et al.. (2022). Dynamic Expert-Knowledge Ensemble for Generalizable Video Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 33(6). 2577–2589. 6 indexed citations
11.
Huang, Tao, Weisheng Dong, Jinjian Wu, et al.. (2022). Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization. IEEE Transactions on Computational Imaging. 8. 201–214. 59 indexed citations
12.
Dong, Weisheng, et al.. (2022). Searching Efficient Model-Guided Deep Network for Image Denoising. IEEE Transactions on Image Processing. 32. 668–681. 6 indexed citations
13.
Liu, Yongxu, Jinjian Wu, Leida Li, et al.. (2021). Video Quality Assessment With Serial Dependence Modeling. IEEE Transactions on Multimedia. 24. 3754–3768. 7 indexed citations
14.
Zhu, Hancheng, Leida Li, Jinjian Wu, Weisheng Dong, & Guangming Shi. (2021). Generalizable No-Reference Image Quality Assessment via Deep Meta-Learning. IEEE Transactions on Circuits and Systems for Video Technology. 32(3). 1048–1060. 47 indexed citations
15.
Liu, Yongxu, Jinjian Wu, Leida Li, et al.. (2021). Spatiotemporal Representation Learning for Blind Video Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 32(6). 3500–3513. 33 indexed citations
16.
Wu, Jinjian, et al.. (2020). End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network. IEEE Transactions on Image Processing. 29. 7414–7426. 133 indexed citations
17.
Zhou, Yu, Leida Li, Shiqi Wang, et al.. (2019). No-Reference Quality Assessment for View Synthesis Using DoG-Based Edge Statistics and Texture Naturalness. IEEE Transactions on Image Processing. 28(9). 4566–4579. 57 indexed citations
18.
Wu, Jinjian, Yongxu Liu, Weisheng Dong, Guangming Shi, & Weisi Lin. (2019). Quality Assessment for Video With Degradation Along Salient Trajectories. IEEE Transactions on Multimedia. 21(11). 2738–2749. 50 indexed citations
19.
Shi, Guangming, Tao Huang, Weisheng Dong, Jinjian Wu, & Xuemei Xie. (2018). Robust Foreground Estimation via Structured Gaussian Scale Mixture Modeling. IEEE Transactions on Image Processing. 27(10). 4810–4824. 35 indexed citations
20.
Wu, Jinjian, Leida Li, Weisheng Dong, et al.. (2017). Enhanced Just Noticeable Difference Model for Images With Pattern Complexity. IEEE Transactions on Image Processing. 26(6). 2682–2693. 120 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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