Xinchao Wang

Active 2002–2026

Also published as
XinChao Wang
403
Papers
23,016
Citations
79
h-index
248
i10-index

Citations

Citations per year for Xinchao Wang2001: 2 citations2002: 2 citations2003: 4 citations2004: 7 citations2005: 2 citations2006: 5 citations2007: 12 citations2008: 10 citations2009: 9 citations2010: 6 citations2011: 7 citations2012: 31 citations2013: 26 citations2014: 31 citations2015: 55 citations2016: 74 citations2017: 111 citations2018: 351 citations2019: 622 citations2020: 871 citations2021: 985 citations2022: 897 citations2023: 1,210 citations2024: 1,822 citations2025: 2,446 citations2026: 915 citations

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,005 citing papers, 44.2% of this breakdownUnited States: 1,117 citing papers, 12.3% of this breakdownUnited Kingdom: 334 citing papers, 3.7% of this breakdownAustralia: 321 citing papers, 3.6% of this breakdownHong Kong: 320 citing papers, 3.5% of this breakdownSingapore: 292 citing papers, 3.2% of this breakdownSouth Korea: 281 citing papers, 3.1% of this breakdownGermany: 230 citing papers, 2.6% of this breakdownIndia: 211 citing papers, 2.3% of this breakdownJapan: 176 citing papers, 2% of this breakdownCanada: 175 citing papers, 1.9% of this breakdownSwitzerland: 126 citing papers, 1.4% of this breakdown
0%44.2%Other 16.2%

Fields

  • Computer Science72.6%
  • Engineering7.3%
  • Biochemistry, Genetics and Molecular Biology5%
  • Medicine4.6%
  • Agricultural and Biological Sciences2.5%
  • Neuroscience2.1%
  • Other5.9%

Topics

  • Advanced Image Processing Techniques6.4%
  • Advanced Neural Network Applications4.7%
  • Advanced Vision and Imaging4.7%
  • Multimodal Machine Learning Applications4.2%
  • Domain Adaptation and Few-Shot Learning3.4%
  • Generative Adversarial Networks and Image Synthesis3.1%
  • Other73.5%

Coauthors

All papers

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  1. MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

    Authors: , , , , , , , - ICML 2024 cited by 1,320

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

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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. OminiControl: Minimal and Universal Control for Diffusion Transformer

    Authors: , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2025 cited by 165

  4. LLM-Pruner: On the Structural Pruning of Large Language Models

    Authors: , , - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 899

  5. CoT-Valve: Length-Compressible Chain-of-Thought Tuning

    Authors: , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2025 cited by 123

  6. dKV-Cache: The Cache for Diffusion Language Models

    Authors: , , , - NeurIPS 2025 cited by 125

  7. Efficient Reasoning Models: A Survey

    Authors: , , , - Trans. Mach. Learn. Res. 2025 cited by 100

  8. MambaOut: Do We Really Need Mamba for Vision?

    Authors: , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 cited by 132

  9. KAN or MLP: A Fairer Comparison

    Authors: , , - arXiv (Cornell University), CoRR 2024 cited by 94

  10. Diffusion Models for Image Restoration and Enhancement - A Comprehensive Survey

    Authors: , , , , , , , - International Journal of Computer Vision, Int. J. Comput. Vis. 2025 cited by 95

  11. Thinkless: LLM Learns When to Think

    Authors: , , - NeurIPS 2025 cited by 109

  12. Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding

    Authors: , , - ArXiv.org, CoRR 2025 cited by 73

  13. Anything-3D: Towards Single-view Anything Reconstruction in the Wild

    Authors: , , - arXiv (Cornell University), CoRR 2023 cited by 92

  14. Overcoming Catastrophic Forgetting in Graph Neural Networks

    Authors: , , - AAAI Conference on Artificial Intelligence 2021 cited by 116

  15. On Compressing Deep Models by Low Rank and Sparse Decomposition

    Authors: , , , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 428

  16. Structural Pruning for Diffusion Models

    Authors: , , - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 241

  17. DeepCache: Accelerating Diffusion Models for Free

    Authors: , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 cited by 98

  18. M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database

    Authors: , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2022 cited by 69

  19. MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities

    Authors: , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 55

  20. Kolmogorov-Arnold Transformer

    Authors: , - ICLR 2025 cited by 134

  21. One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation

    Authors: , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2020 cited by 208

  22. NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tak-Wai Hui, Chao Dong, Liang Lin, Chen Change Loy, Park Dongwon, Kwanyoung Kim, Se Young Chun, Kai Zhang, Pengjv Liu, Wangmeng Zuo, Shi Guo, Jiye Liu, Jinchang Xu, YI-JIAO LIU, Fengye Xiong, Yuan Dong, Hongliang Bai, Alexandru Damian, Nikhil Ravi, Sachit Menon, Cynthia Rudin, Junghoon Seo, Taegyun Jeon, Jamyoung Koo, Seunghyun Jeon, Soo Ye Kim, Jae-Seok Choi, Sehwan Ki, Soomin Seo, Hyeonjun Sim, Saehun Kim, Munchurl Kim, Rong Chen, Kun Zeng, Jinkang Guo, Yanyun Qu, Cuihua Li, Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn, Yuan Yuan, Jiawei Zhang, Jiahao Pang, Xiangyu Xu, Yan Zhao, Wei Deng, Sibt ul Hussain, Muneeb Aadil, Rafia Rahim, Xiaowang Cai, Fang Huang, Yueshu Xu, Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu, Jun-Hyuk Kim, Jong‐Seok Lee, Yi‐Wen Huang, Ming Qiu, Liting Jing, Jiehang Zeng, Ying Wang, Manoj Sharma, Rudrabha Mukhopadhyay, Avinash Upadhyay, Sriharsha Koundinya, Ankit Shukla, Santanu Chaudhury, Zhe Zhang, Yu Hen Hu and 1 more - IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2018 cited by 372

  23. Data-Free Adversarial Distillation

    Authors: , , , , , - arXiv (Cornell University), CoRR 2019 cited by 135

  24. Discrete Diffusion in Large Language and Multimodal Models: A Survey

    Authors: , , - ArXiv.org, CoRR 2025 cited by 49