Yu Jiang

Active 1979–2026

1,705
Papers
77,894
Citations
132
h-index
1,084
i10-index

Citations

Citations per year for Yu Jiang1972: 1 citations1974: 1 citations1979: 2 citations1981: 1 citations1984: 3 citations1989: 2 citations1991: 4 citations1992: 12 citations1993: 12 citations1994: 7 citations1995: 14 citations1996: 18 citations1997: 32 citations1998: 16 citations1999: 33 citations2000: 65 citations2001: 45 citations2002: 33 citations2003: 30 citations2004: 33 citations2005: 42 citations2006: 85 citations2007: 107 citations2008: 111 citations2009: 107 citations2010: 106 citations2011: 129 citations2012: 163 citations2013: 180 citations2014: 250 citations2015: 462 citations2016: 616 citations2017: 861 citations2018: 965 citations2019: 2,046 citations2020: 2,796 citations2021: 3,295 citations2022: 3,319 citations2023: 3,420 citations2024: 5,464 citations2025: 3,872 citations2026: 569 citations2027: 1 citations1973: no citations, so this year is not shown1975–1978: no citations, so these years are not shown1980: no citations, so this year is not shown1982–1983: no citations, so these years are not shown1985–1988: no citations, so these years are not shown1990: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 12,650 citing papers, 33.9% of this breakdownUnited States: 5,947 citing papers, 15.9% of this breakdownUnited Kingdom: 1,649 citing papers, 4.4% of this breakdownGermany: 1,051 citing papers, 2.8% of this breakdownAustralia: 985 citing papers, 2.6% of this breakdownIndia: 956 citing papers, 2.6% of this breakdownCanada: 879 citing papers, 2.4% of this breakdownItaly: 793 citing papers, 2.1% of this breakdownSouth Korea: 715 citing papers, 1.9% of this breakdownFrance: 697 citing papers, 1.9% of this breakdownJapan: 634 citing papers, 1.7% of this breakdownSpain: 581 citing papers, 1.6% of this breakdown
0%33.9%Other 26.2%

Fields

  • Biochemistry, Genetics and Molecular Biology29.1%
  • Computer Science21.8%
  • Medicine21.8%
  • Engineering9.5%
  • Agricultural and Biological Sciences4%
  • Environmental Science2.2%
  • Other11.6%

Topics

  • Adaptive Dynamic Programming Control1.7%
  • Microbial Metabolic Engineering and Bioproduction1.4%
  • Advanced biosensing and bioanalysis techniques1.2%
  • CRISPR and Genetic Engineering1.2%
  • Advanced Malware Detection Techniques1.1%
  • Genetic and phenotypic traits in livestock1%
  • Other92.4%

Coauthors

All papers

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  1. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Teemu Palviainen, Anita Pandit, Gunnar W. Reginsson, Anne Heidi Skogholt, Jennifer A. Smith, Amy E. Taylor, Constance Turman, Gonneke Willemsen, Hannah Young, Kendra A. Young, Gregory J. M. Zajac, Wei Zhao, Wei Zhou, Gyða Björnsdóttir, Jason D. Boardman, Michael Boehnke, Dorret I. Boomsma, Chu Chen, Francesco Cucca, Gareth E. Davies, Charles B. Eaton, Marissa A. Ehringer, Tõnu Esko, Edoardo Fiorillo, Nathan A. Gillespie, Daníel F. Guðbjartsson, Toomas Haller, Kathleen Mullan Harris, Andrew C. Heath, John K. Hewitt, Ian B. Hickie, John E. Hokanson, Christian J. Hopfer, David J. Hunter, William G. Iacono, Eric O. Johnson, Yoichiro Kamatani, Sharon L. R. Kardia, Matthew C. Keller, Manolis Kellis, Charles Kooperberg, Peter Kraft, Kenneth Krauter, Markku Laakso, Penelope A. Lind, Anu Loukola, Sharon M. Lutz, Pamela A. F. Madden, Nicholas G. Martin, Matt McGue, Matthew B. McQueen, Sarah E. Medland, Andres Metspalu, Karen L. Mohlke, Jonas B. Nielsen, Yukinori Okada, Ulrike Peters, Tinca J. C. Polderman, Daniëlle Posthuma, Alex P. Reiner, John P. Rice, Eric B. Rimm, Richard J. Rose, Valgerður Rúnarsdóttir, Michael C. Stallings, Alena Stančáková, Hreinn Stefánsson, Khanh K. Thai, Hilary A. Tindle, Þórarinn Tyrfingsson and 24 more - Nature Genetics 2019 cited by 2,142

  2. Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics

    Authors: , - Automatica, Autom. 2012 cited by 1,033

  3. Multigene Editing in the Escherichia coli Genome via the CRISPR-Cas9 System

    Authors: , , , , , - Applied and Environmental Microbiology 2015 cited by 1,386

  4. Genetic diversity fuels gene discovery for tobacco and alcohol use

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Dorret I. Boomsma, Meher P. Boorgula, Donald W. Bowden, Jennifer A. Brody, Brian E. Cade, Daniel I. Chasman, Sameer Chavan, Yii‐Der Ida Chen, Zhengming Chen, Iona Cheng, Michael H. Cho, Hélène Choquet, John W. Cole, Marilyn C. Cornelis, Francesco Cucca, Joanne E. Curran, Mariza de Andrade, Danielle M. Dick, Anna R. Docherty, Ravindranath Duggirala, Charles B. Eaton, Marissa A. Ehringer, Tõnu Esko, Jessica D. Faul, Lilian Fernandes Silva, Edoardo Fiorillo, Myriam Fornage, Barry I. Freedman, Maiken E. Gabrielsen, Melanie E. Garrett, Sina A. Gharib, Christian Gieger, Nathan A. Gillespie, David C. Glahn, Scott D. Gordon, C. Charles Gu, Dongfeng Gu, Daníel F. Guðbjartsson, Xiuqing Guo, Jeffrey Haessler, Michael E. Hall, Toomas Haller, Kathleen Mullan Harris, Jiang He, Pamela Herd, John K. Hewitt, Ian B. Hickie, Bertha Hidalgo, John E. Hokanson, Christian J. Hopfer, Jouke‐Jan Hottenga, Lifang Hou, Hongyan Huang, Yi‐Jen Hung, David J. Hunter, Kristian Hveem, Shih‐Jen Hwang, Chii‐Min Hwu, William G. Iacono, Marguerite R. Irvin, Yon Ho Jee, Eric O. Johnson, Yoonjung Yoonie Joo, Eric Jorgenson, Anne E. Justice, Yoichiro Kamatani, Robert C. Kaplan, Jaakko Kaprio, Sharon L. R. Kardia, Matthew C. Keller and 118 more - Nature 2022 cited by 508

  5. Effect of Repeated Low-Level Red-Light Therapy for Myopia Control in Children

    Authors: , , , , , , , , , , - Ophthalmology 2021 cited by 319

  6. Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey

    Authors: , , , , , , , , , - Frontiers in Medicine 2022 cited by 252

  7. Design of a Hybrid RF Fingerprint Extraction and Device Classification Scheme

    Authors: , , , , , - IEEE Internet of Things Journal, IEEE Internet Things J. 2018 cited by 296

  8. VulSeeker: a semantic learning based vulnerability seeker for cross-platform binary

    Authors: , , , , - ACM/IEEE International Conference on Automated Software Engineering, ASE 2018 cited by 192

  9. Inhibiting HMGB1-RAGE axis prevents pro-inflammatory macrophages/microglia polarization and affords neuroprotection after spinal cord injury

    Authors: , , , , , , , , , , , - Journal of Neuroinflammation 2020 cited by 278

  10. Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review

    Authors: , - Plant Phenomics 2020 cited by 373

  11. DLFuzz: Differential Fuzzing Testing of Deep Learning Systems

    Authors: , , , , - ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/SIGSOFT FSE 2018 cited by 291

  12. Therapeutic efficacy of anti-CD19 CAR-T cells in a mouse model of systemic lupus erythematosus

    Authors: , , , , , , , , - Cellular and Molecular Immunology 2020 cited by 196

  13. Advances in the study of macrophage polarization in inflammatory immune skin diseases

    Authors: , , , , , , , , , , - Journal of Inflammation 2023 cited by 143

  14. Rolling back human pluripotent stem cells to an eight-cell embryo-like stage

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Wenjuan Li, Miguel A. Esteban - Nature 2022 cited by 245

  15. Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study

    Authors: , , , , , , , , , , , , , , , , - The Lancet Digital Health 2022 cited by 163

  16. The Mechanisms of HBV-Induced Hepatocellular Carcinoma

    Authors: , , , - Journal of Hepatocellular Carcinoma 2021 cited by 264

  17. A modified pCas/pTargetF system for CRISPR-Cas9-assisted genome editing in Escherichia coli

    Authors: , , , , , - Acta Biochimica et Biophysica Sinica 2021 cited by 220

  18. Gut commensal Christensenella minuta modulates host metabolism via acylated secondary bile acids

    Authors: , , , , , , , , , , , , , , , , , , , , , - Nature Microbiology 2024 cited by 102

  19. Towards VQA Models That Can Read

    Authors: , , , , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 62

  20. Longitudinal Changes and Predictive Value of Choroidal Thickness for Myopia Control after Repeated Low-Level Red-Light Therapy

    Authors: , , , , , , , , , , , - Ophthalmology 2022 cited by 144

  21. At Which Training Stage Does Code Data Help LLMs Reasoning?

    Authors: , , , , , , - ICLR 2024 cited by 115

  22. Robust Adaptive Dynamic Programming and Feedback Stabilization of Nonlinear Systems

    Authors: , - IEEE Transactions on Neural Networks and Learning Systems 2014 cited by 409

  23. HandAvatar: Embodying Non-Humanoid Virtual Avatars through Hands

    Authors: , , , , - CHI Conference on Human Factors in Computing Systems 2023 cited by 48

  24. Empirical evaluation of smart contract testing: what is the best choice?

    Authors: , , , , , , , - SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2021 cited by 83