Xu Zhao

Active 1982–2026

Also published as
XU ZHAO
931
Papers
58,750
Citations
103
h-index
544
i10-index

Citations

Citations per year for Xu Zhao1966: 1 citations1984: 2 citations1985: 1 citations1986: 2 citations1987: 2 citations1988: 3 citations1989: 2 citations1990: 1 citations1992: 1 citations1993: 2 citations1994: 1 citations1995: 2 citations1996: 1 citations1999: 1 citations2002: 51 citations2003: 154 citations2004: 145 citations2005: 135 citations2006: 101 citations2007: 100 citations2008: 77 citations2009: 95 citations2010: 122 citations2011: 131 citations2012: 171 citations2013: 209 citations2014: 318 citations2015: 329 citations2016: 399 citations2017: 564 citations2018: 707 citations2019: 1,482 citations2020: 2,225 citations2021: 2,845 citations2022: 2,419 citations2023: 2,166 citations2024: 3,246 citations2025: 2,540 citations2026: 632 citations1967–1983: no citations, so these years are not shown1991: no citations, so this year is not shown1997–1998: no citations, so these years are not shown2000–2001: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 9,254 citing papers, 39.8% of this breakdownUnited States: 3,581 citing papers, 15.4% of this breakdownUnited Kingdom: 863 citing papers, 3.7% of this breakdownGermany: 696 citing papers, 3% of this breakdownIndia: 624 citing papers, 2.7% of this breakdownAustralia: 605 citing papers, 2.6% of this breakdownCanada: 526 citing papers, 2.3% of this breakdownSouth Korea: 524 citing papers, 2.3% of this breakdownJapan: 423 citing papers, 1.8% of this breakdownItaly: 413 citing papers, 1.8% of this breakdownFrance: 396 citing papers, 1.7% of this breakdownHong Kong: 331 citing papers, 1.4% of this breakdown
0%39.8%Other 21.5%

Fields

  • Biochemistry, Genetics and Molecular Biology33.7%
  • Computer Science24.4%
  • Medicine12.8%
  • Engineering7.2%
  • Agricultural and Biological Sciences5.7%
  • Energy2.7%
  • Other13.5%

Topics

  • RNA modifications and cancer6.7%
  • Cancer-related molecular mechanisms research3.2%
  • Cancer-related gene regulation3.1%
  • RNA Research and Splicing1.9%
  • Human Pose and Action Recognition1.7%
  • Epigenetics and DNA Methylation1.2%
  • Other82.2%

Coauthors

All papers

Open in search
  1. PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Wu Peng, Soumith Chintala - International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, ASPLOS (2) 2024 cited by 579

  2. N6-Methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO

    Authors: , , , , , , , , , , - Nature Chemical Biology 2011 cited by 4,124

  3. ALKBH5 Is a Mammalian RNA Demethylase that Impacts RNA Metabolism and Mouse Fertility

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Molecular Cell 2012 cited by 3,661

  4. Fast Segment Anything

    Authors: , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 302

  5. Mammalian WTAP is a regulatory subunit of the RNA N6-methyladenosine methyltransferase

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - Cell Research 2014 cited by 2,427

  6. Self-Supervised Learning of Graph Neural Networks: A Unified Review

    Authors: , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2022 cited by 365

  7. Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Chenfei Wu, Chenguang Yu, Dapeng Shi, Dingyuan Hu, Liu, Enle, Yu, Gang, Ge Yang, Guangnan Huang, Yan, Gulin, Haiyang Feng, Hao Nie, Haonan Jia, Hanpeng Hu, Hanqi Chen, Haolong Yan, Heng Wang, Hongcheng Guo, Huilin Xiong, Huixin Xiong, Jiahao Gong, Jianchang Wu, Jiao-Ren Wu, Jie Wu, Jie Yang, Jiashuai Liu, Jiashuo Li, Jingyang Zhang, Jiajie Guo, Junzhe Lin, Kaixiang Li, Lei Liu, Lei Xia, Liang Zhao, Liguo Tan, Liwen Huang, Liying Shi, Ming Li, Mingliang Li, Mu‐hua Cheng, Na Wang, Qiaohui Chen, Qinglin He, Qiuyan Liang, Quan Sun, Ran Sun, Rui Wang, Shaoliang Pang, Shiliang Yang, Sitong Liu, Siqi Liu, Shuli Gao, Tiancheng Cao, Tianyu Wang, Weipeng Ming, Wenqing He, Xu Zhao, Xuelin Zhang, Xianfang Zeng, Xiaojia Liu, Xuan Yang, Dai, Yaqi, Yanbo Yu, Yang Li, Deng, Yineng, Ying-Ming Wang, Yilei Wang, Yuanwei Lu, Yu Chen, Yu Luo, Yi Luo and 15 more - ArXiv.org, CoRR 2025 cited by 152

  8. Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru‐Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Žitnik, Anima Anandkumar, Stefano Ermon, Píetro Lió, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess Smidt, Shuiwang Ji - Foundations and Trends® in Machine Learning, Found. Trends Mach. Learn. 2025 cited by 141

  9. FTO-dependent demethylation of N6-methyladenosine regulates mRNA splicing and is required for adipogenesis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Cell Research 2014 cited by 1,231

  10. Ovis2.5 Technical Report

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Shengze Shi, Weihong Zhang, Guodong Zheng, Jun Jiang, Gao, Sensen, Yifeng Wu, Sijia Chen, Yuhui Chen, Qing-Guo Chen, Xu Zhao, Weihua Luo, Zhang, Kaifu - ArXiv.org, CoRR 2025 cited by 97

  11. Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities

    Authors: , , , , , , , , , , , - ArXiv.org, CoRR 2025 cited by 76

  12. Thermosensitive Hydrogel Incorporating Prussian Blue Nanoparticles Promotes Diabetic Wound Healing via ROS Scavenging and Mitochondrial Function Restoration

    Authors: , , , , , , , , , , - ACS Applied Materials & Interfaces 2022 cited by 206

  13. Single Shot Temporal Action Detection

    Authors: , , - international conference on Multimedia, ACM Multimedia 2017 cited by 376

  14. Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity

    Authors: , , , , - SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD (1) 2025 cited by 57

  15. EdgeStereo: An Effective Multi-task Learning Network for Stereo Matching and Edge Detection

    Authors: , , , , - International Journal of Computer Vision, Int. J. Comput. Vis. 2020 cited by 192

  16. A Text-guided Protein Design Framework

    Authors: , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 56

  17. Advanced graph and sequence neural networks for molecular property prediction and drug discovery

    Authors: , , , , , , , , , , - Bioinformatics, Bioinform. 2022 cited by 114

  18. Ythdf2-mediated m6A mRNA clearance modulates neural development in mice

    Authors: , , , , , , , , , , - Genome biology 2018 cited by 380

  19. An interval construction belief rule base with interpretability for complex systems

    Authors: , , , , , , - Expert Systems with Applications, Expert Syst. Appl. 2023 cited by 73

  20. Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder

    Authors: , , , , - SIGIR Conference on Research and Development in Information Retrieval 2022 cited by 54

  21. N6-methyl-adenosine (m6A) in RNA: An Old Modification with A Novel Epigenetic Function

    Authors: , , , , , - Genomics Proteomics & Bioinformatics, Genom. Proteom. Bioinform. 2012 cited by 551

  22. Coupling N2 and CO2 in H2O to synthesize urea under ambient conditions

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Chemistry 2020 cited by 1,054

  23. Dynamic Key-Value Memory Networks With Rich Features for Knowledge Tracing

    Authors: , , , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2021 cited by 74

  24. A Draft Sequence of the Rice Genome ( Oryza sativa L. ssp. indica )

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jianping Liu, Jianping Liu, Qiuhui Qi, Li Li, Tao Li, Tao Li, Xuegang Wang, Tingting Wu, Tingting Wu, Miao Zhu, Peixiang Ni, Hua Han, Wei Dong, Xiaoli Feng, Xiaoli Feng, Peng Cui, Xianran Li, Hao Wang, Xin Xu, Xu Zhao, Zhao Xu, Jinsong Zhang, Sijie He, Jianguo Zhang, Jichen Xu, Xianwu Zheng, Xianwu Zheng, Jianhai Dong, Wanyong Zeng, Lin Tao, Ye Jia, Jun Tan, Xuewei Chen, Jun He, Jun He, Daofeng Liu, Chaoguang Tian, Chaoguang Tian, Hongai Xia, Qiyu Bao, Gang Li, Ting Cao, Ting Cao, Juan Wang, Juan Wang, Wenming Zhao, Ping Li, Wei Chen, Xudong Wang, Yong Zhang, Jianfei Hu, Jian Yang, Jing Wang, Song Liu, Jian Yang, Guangyu Zhang, Yuqing Xiong, Zhijie Li, Long Mao, Chengshu Zhou, Zhen Zhu, Runsheng Chen, Bailin Hao, Zheng Weimou, Shouyi Chen, Wei Guo, Guojie Li, Siqi Liu, Ming Tao, Huanming Yang - Science 2002 cited by 4,272