Jun-Yan Zhu

186 total papers · 45.9k total citations
71 papers, 20.9k citations indexed

About

Jun-Yan Zhu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Jun-Yan Zhu has authored 71 papers receiving a total of 20.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 16 papers in Computer Graphics and Computer-Aided Design and 13 papers in Artificial Intelligence. Recurrent topics in Jun-Yan Zhu's work include Generative Adversarial Networks and Image Synthesis (35 papers), Advanced Vision and Imaging (18 papers) and Computer Graphics and Visualization Techniques (16 papers). Jun-Yan Zhu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (35 papers), Advanced Vision and Imaging (18 papers) and Computer Graphics and Visualization Techniques (16 papers). Jun-Yan Zhu collaborates with scholars based in United States, China and Israel. Jun-Yan Zhu's co-authors include Taesung Park, Alexei A. Efros, Phillip Isola, Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Bryan Catanzaro, Jan Kautz, Antonio Torralba and Richard Zhang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jun-Yan Zhu

70 papers receiving 20.3k citations

Hit Papers

Unpaired Image-to-Image T... 2017 2026 2020 2023 2017 2018 2019 2019 2018 4.0k 8.0k 12.0k
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
    2017 12.3k citations Jun-Yan Zhu, Taesung Park et al. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) profile →
  2. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
    2018 2.4k citations Ting-Chun Wang, Ming-Yu Liu et al. profile →
  3. Semantic Image Synthesis With Spatially-Adaptive Normalization
    2019 1.5k citations Taesung Park, Ming-Yu Liu et al. profile →
  4. Learning the signatures of the human grasp using a scalable tactile glove
    2019 869 citations Subramanian Sundaram, Petr Kellnhofer et al. Nature profile →
  5. Generating Adversarial Examples with Adversarial Networks
    2018 455 citations Chaowei Xiao, Bo Li et al. profile →
  6. Depth-supervised NeRF: Fewer Views and Faster Training for Free
    2022 448 citations Kangle Deng, Andrew Liu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  7. Multi-Concept Customization of Text-to-Image Diffusion
    2023 260 citations Nupur Kumari, Bingliang Zhang et al. profile →
  8. Scaling up GANs for Text-to-Image Synthesis
    2023 179 citations Minguk Kang, Jun-Yan Zhu et al. profile →
  9. Zero-shot Image-to-Image Translation
    2023 170 citations Gaurav Parmar, Krishna Kumar Singh et al. profile →
  10. On Aliased Resizing and Surprising Subtleties in GAN Evaluation
    2022 137 citations Gaurav Parmar, Richard Zhang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  11. MMATrans: Muscle Movement Aware Representation Learning for Facial Expression Recognition via Transformers
    2024 34 citations Hai Liu, Cheng Zhang et al. IEEE Transactions on Industrial Informatics profile →

Author Peers

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

Author Last Decade Papers Cites
Jun-Yan Zhu 14.8k 4.8k 2.0k 1.9k 1.8k 71 20.9k
Hao Su 17.1k 1.2× 9.2k 1.9× 2.0k 1.0× 2.6k 1.3× 1.1k 0.6× 69 27.2k
Phillip Isola 11.1k 0.8× 3.8k 0.8× 1.7k 0.8× 1.6k 0.8× 899 0.5× 46 15.4k
Alexei A. Efros 26.9k 1.8× 7.5k 1.5× 3.5k 1.7× 2.0k 1.0× 3.3k 1.9× 130 33.4k
Stephen Lin 18.3k 1.2× 6.2k 1.3× 5.2k 2.6× 2.1k 1.1× 747 0.4× 119 27.1k
Andrea Vedaldi 19.9k 1.3× 7.2k 1.5× 2.9k 1.5× 1.2k 0.6× 670 0.4× 165 26.0k
John Canny 17.7k 1.2× 3.3k 0.7× 3.4k 1.7× 1.4k 0.7× 1.8k 1.0× 249 31.6k
Andrew Blake 14.4k 1.0× 2.0k 0.4× 1.5k 0.8× 571 0.3× 1.3k 0.7× 105 18.0k
Carlo Tomasi 12.7k 0.9× 1.6k 0.3× 3.2k 1.6× 1.0k 0.5× 1.0k 0.6× 91 17.2k
Serge Belongie 26.3k 1.8× 8.4k 1.8× 3.7k 1.8× 951 0.5× 1.1k 0.6× 184 33.7k
Philip H. S. Torr 17.0k 1.2× 3.9k 0.8× 2.0k 1.0× 947 0.5× 508 0.3× 182 21.6k

Countries citing papers authored by Jun-Yan Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Yan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Yan Zhu. 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 Jun-Yan Zhu. The network helps show where Jun-Yan Zhu may publish in the future.

Co-authorship network of co-authors of Jun-Yan Zhu

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

All Works

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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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