Jinjin Gu

9.8k total citations · 3 hit papers
33 papers, 1.8k citations indexed

About

Jinjin Gu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jinjin Gu has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in Jinjin Gu's work include Advanced Image Processing Techniques (16 papers), Advanced Vision and Imaging (10 papers) and Image and Signal Denoising Methods (9 papers). Jinjin Gu is often cited by papers focused on Advanced Image Processing Techniques (16 papers), Advanced Vision and Imaging (10 papers) and Image and Signal Denoising Methods (9 papers). Jinjin Gu collaborates with scholars based in China, Australia and Hong Kong. Jinjin Gu's co-authors include Yujun Shen, Bolei Zhou, Chao Dong, Xiaoou Tang, Yu Qiao, Yihao Liu, Yulun Zhang, Fisher Yu, Zheng Chen and Xiaokang Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Jinjin Gu

29 papers receiving 1.8k citations

Hit Papers

Interpreting the Latent Space of GANs for Semantic Face E... 2020 2026 2022 2024 2020 2021 2023 100 200 300 400 500
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. Interpreting the Latent Space of GANs for Semantic Face Editing
    2020 562 citations Yujun Shen, Jinjin Gu et al. profile →
  2. Interpreting Super-Resolution Networks with Local Attribution Maps
    2021 193 citations Jinjin Gu, Chao Dong profile →
  3. Dual Aggregation Transformer for Image Super-Resolution
    2023 180 citations Zheng Chen, Yulun Zhang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jinjin Gu China 16 1.5k 496 194 100 80 33 1.8k
Shai Bagon Israel 10 1.6k 1.1× 745 1.5× 100 0.5× 127 1.3× 62 0.8× 17 1.9k
Daniel Gläsner United States 10 1.6k 1.1× 848 1.7× 168 0.9× 34 0.3× 70 0.9× 17 1.8k
Chitwan Saharia United States 6 838 0.6× 247 0.5× 169 0.9× 103 1.0× 64 0.8× 7 1.2k
Yibing Song China 22 2.1k 1.5× 353 0.7× 456 2.4× 133 1.3× 77 1.0× 53 2.5k
He Zhang China 22 2.4k 1.6× 911 1.8× 195 1.0× 111 1.1× 91 1.1× 54 2.9k
Haibin Huang China 17 1.0k 0.7× 260 0.5× 111 0.6× 171 1.7× 91 1.1× 46 1.4k
Delu Zeng China 18 2.9k 1.9× 1.4k 2.8× 89 0.5× 72 0.7× 140 1.8× 67 3.2k
Brian McWilliams Switzerland 12 1.7k 1.1× 222 0.4× 247 1.3× 270 2.7× 47 0.6× 22 2.0k
Liangbin Xie China 7 863 0.6× 317 0.6× 93 0.5× 94 0.9× 33 0.4× 16 1.1k
Qingsen Yan China 23 1.7k 1.1× 627 1.3× 403 2.1× 45 0.5× 122 1.5× 76 2.2k

Countries citing papers authored by Jinjin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jinjin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinjin Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinjin Gu. A scholar is included among the top collaborators of Jinjin Gu 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 Jinjin Gu. Jinjin Gu 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.
Hu, Jinfan, Jinjin Gu, Zheyuan Li, et al.. (2025). Interpreting Low-Level Vision Models With Causal Effect Maps. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6396–6409. 1 indexed citations
2.
You, Zhiyuan, et al.. (2025). Enhancing Descriptive Image Quality Assessment With a Large-Scale Multi-Modal Dataset. IEEE Transactions on Image Processing. 34. 8201–8215.
3.
4.
Wang, Jiahao, Hong Yan, & Jinjin Gu. (2025). Image steganalysis based on CNN-Transformer. JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING. 42(2). 233–241.
5.
You, Zhiyuan, et al.. (2025). Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution. 14483–14494. 5 indexed citations
6.
Gu, Jinjin, Zheyuan Li, Jinfan Hu, et al.. (2024). Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. 25669–25680. 39 indexed citations
7.
8.
Chen, Haoyu, Wenbo Li, Jinjin Gu, et al.. (2024). Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 25857–25867. 11 indexed citations
9.
Chen, Zheng, Yulun Zhang, Jinjin Gu, et al.. (2023). Dual Aggregation Transformer for Image Super-Resolution. 12278–12287. 180 indexed citations breakdown →
10.
Chen, Haoyu, Jinjin Gu, Yihao Liu, et al.. (2023). Masked Image Training for Generalizable Deep Image Denoising. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1692–1703. 50 indexed citations
11.
Xie, Liangbin, Xintao Wang, Shuwei Shi, et al.. (2023). Mitigating Artifacts in Real-World Video Super-resolution Models. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2956–2964. 12 indexed citations
12.
Li, Zheyuan, Yingqi Liu, Xiangyu Chen, et al.. (2022). Blueprint Separable Residual Network for Efficient Image Super-Resolution. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 832–842. 134 indexed citations
13.
Kong, Xiangtao, et al.. (2022). Reflash Dropout in Image Super-Resolution. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5992–6002. 44 indexed citations
14.
Gu, Jinjin, et al.. (2022). AI-enabled image fraud in scientific publications. Patterns. 3(7). 100511–100511. 44 indexed citations
15.
Wang, Xinlei, et al.. (2021). Electricity-consumption data reveals the economic impact and industry recovery during the pandemic. Scientific Reports. 11(1). 19960–19960. 19 indexed citations
16.
Shen, Yujun, Jinjin Gu, Xiaoou Tang, & Bolei Zhou. (2020). Interpreting the Latent Space of GANs for Semantic Face Editing. 9240–9249. 562 indexed citations breakdown →
17.
Gu, Jinjin, Yujun Shen, & Bolei Zhou. (2020). Image Processing Using Multi-Code GAN Prior. 3009–3018. 182 indexed citations
18.
Qian, Guocheng, et al.. (2019). Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution.. arXiv (Cornell University). 17 indexed citations
19.
Qiu, Haonan, et al.. (2019). Two‐phase Hair Image Synthesis by Self‐Enhancing Generative Model. Computer Graphics Forum. 38(7). 403–412. 3 indexed citations
20.
Yang, Guanyu, Jinjin Gu, Yang Chen, et al.. (2014). Automatic kidney segmentation in CT images based on multi-atlas image registration. PubMed. 2014. 5538–5541. 48 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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