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Jong Chul Ye

Active 1998–2026

438
Papers
24,752
Citations
73
h-index
203
i10-index

Citations

Citations per year for Jong Chul Ye1905: 2 citations1959: 1 citations1968: 1 citations1971: 1 citations1978: 1 citations1988: 1 citations1991: 1 citations1994: 1 citations1995: 1 citations1997: 1 citations1998: 2 citations1999: 2 citations2000: 3 citations2001: 4 citations2002: 11 citations2003: 10 citations2004: 12 citations2005: 9 citations2006: 15 citations2007: 20 citations2008: 25 citations2009: 32 citations2010: 67 citations2011: 78 citations2012: 102 citations2013: 143 citations2014: 159 citations2015: 162 citations2016: 199 citations2017: 274 citations2018: 513 citations2019: 798 citations2020: 1,083 citations2021: 1,214 citations2022: 1,094 citations2023: 1,423 citations2024: 1,888 citations2025: 1,818 citations2026: 577 citations2027: 1 citations1906–1958: no citations, so these years are not shown1960–1967: no citations, so these years are not shown1969–1970: no citations, so these years are not shown1972–1977: no citations, so these years are not shown1979–1987: no citations, so these years are not shown1989–1990: no citations, so these years are not shown1992–1993: no citations, so these years are not shown1996: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,294 citing papers, 27.9% of this breakdownUnited States: 2,408 citing papers, 20.4% of this breakdownSouth Korea: 784 citing papers, 6.6% of this breakdownUnited Kingdom: 638 citing papers, 5.4% of this breakdownGermany: 419 citing papers, 3.5% of this breakdownCanada: 332 citing papers, 2.8% of this breakdownIndia: 322 citing papers, 2.7% of this breakdownHong Kong: 292 citing papers, 2.5% of this breakdownJapan: 266 citing papers, 2.3% of this breakdownAustralia: 250 citing papers, 2.1% of this breakdownSwitzerland: 242 citing papers, 2.1% of this breakdownFrance: 242 citing papers, 2% of this breakdown
0%27.9%Other 19.7%

Institutions

Fields

  • Computer Science40.7%
  • Medicine27.7%
  • Engineering15.3%
  • Neuroscience5.1%
  • Physics and Astronomy3.6%
  • Biochemistry, Genetics and Molecular Biology2.5%
  • Other5.1%

Topics

  • Advanced Image Processing Techniques6.5%
  • Medical Imaging Techniques and Applications5.8%
  • Image and Signal Denoising Methods4.9%
  • Generative Adversarial Networks and Image Synthesis4.4%
  • Advanced MRI Techniques and Applications4.4%
  • Sparse and Compressive Sensing Techniques4%
  • Other70%

Coauthors

All papers

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  1. Diffusion Posterior Sampling for General Noisy Inverse Problems

    Authors: Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye - ICLR 2023 cited by 1,760

  2. NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Authors: Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo - IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2017 cited by 1,493

  3. Score-based diffusion models for accelerated MRI

    Authors: Hyungjin Chung, Jong Chul Ye - Medical Image Analysis, Medical Image Anal. 2022 cited by 378

  4. Deep learning for tomographic image reconstruction

    Authors: Ge Wang, Jong Chul Ye, Bruno De Man - Nature Machine Intelligence, Nat. Mach. Intell. 2020 cited by 534

  5. A Survey on Diffusion Models for Inverse Problems

    Authors: Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai, Yuki Mitsufuji, Jong Chul Ye, Peyman Milanfar, Alexandros G. Dimakis, Mauricio Delbracio - arXiv (Cornell University), CoRR 2024 cited by 146

  6. CLIPstyler: Image Style Transfer with a Single Text Condition

    Authors: Gihyun Kwon, Jong Chul Ye - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 cited by 233

  7. A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction

    Authors: Eunhee Kang, Junhong Min, Jong Chul Ye - Medical Physics 2017 cited by 705

  8. Geometric GAN

    Authors: Jae Hyun Lim, Jong Chul Ye - arXiv (Cornell University), CoRR 2017 cited by 380

  9. Improving Diffusion Models for Inverse Problems using Manifold Constraints

    Authors: Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye - Advances in Neural Information Processing Systems 35, NeurIPS 2022 cited by 698

  10. Diffusion-based Image Translation using Disentangled Style and Content Representation

    Authors: Gihyun Kwon, Jong Chul Ye - ICLR 2023 cited by 227

  11. CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

    Authors: Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye - ICLR 2025 cited by 136

  12. NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy

    Authors: Jong Chul Ye, Sungho Tak, Kwang Eun Jang, Jinwook Jung, Jaeduck Jang - NeuroImage 2008 cited by 1,178

  13. Generative AI for Medical Imaging: extending the MONAI Framework

    Authors: Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso - arXiv (Cornell University), CoRR 2023 cited by 70

  14. Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning

    Authors: Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler - IEEE, Proc. IEEE 2019 cited by 284

  15. Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

    Authors: Byung-Hoon Kim, Jong Chul Ye - Frontiers in Neuroscience 2020 cited by 164

  16. Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

    Authors: Hyungjin Chung, Suhyeon Lee, Jong Chul Ye - ICLR 2024 cited by 167

  17. Diffusion Deformable Model for 4D Temporal Medical Image Generation

    Authors: Boah Kim, Jong Chul Ye - Lecture notes in computer science, MICCAI (1) 2022 cited by 91

  18. Image Reconstruction is a New Frontier of Machine Learning

    Authors: Ge Wang, Jong Chul Ye, Klaus Mueller, Jeffrey A. Fessler - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2018 cited by 530

  19. Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network

    Authors: Eunhee Kang, Won Chang, Jaejun Yoo, Jong Chul Ye - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2018 cited by 348

  20. Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification

    Authors: Woong Bae, Jaejun Yoo, Jong Chul Ye - IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2017 cited by 215

  21. Unpaired Image-to-Image Translation via Neural Schrödinger Bridge

    Authors: Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye - ICLR 2024 cited by 150

  22. Statistical analysis of fNIRS data: A comprehensive review

    Authors: Sungho Tak, Jong Chul Ye - NeuroImage 2013 cited by 463

  23. Compressed sensing MRI: a review from signal processing perspective

    Authors: Jong Chul Ye - BMC Biomedical Engineering 2019 cited by 204

  24. Artificial Intelligence in Health Care: Current Applications and Issues

    Authors: Chan-Woo Park, Sung Wook Seo, Noeul Kang, BeomSeok Ko, Byoung Wook Choi, Chang Min Park, Dong Kyung Chang, Hwiuoung Kim, Hyunchul Kim, Hyunna Lee, Jinhee Jang, Jong Chul Ye, Jong Hong Jeon, Joon Beom Seo, Kwang Joon Kim, Kyu-Hwan Jung, Namkug Kim, Seungwook Paek, Soo-Yong Shin, Soyoung Yoo, Yoon Sup Choi, Youngjun Kim, Hyung‐Jin Yoon - Journal of Korean Medical Science 2020 cited by 159