Lili Yu

Active 1996–2026

Also published as
LiLi Yu
300
Papers
25,624
Citations
78
h-index
237
i10-index

Citations

Citations per year for Lili Yu1995: 1 citations1998: 7 citations1999: 1 citations2000: 3 citations2001: 1 citations2003: 3 citations2004: 2 citations2006: 3 citations2007: 6 citations2008: 6 citations2009: 27 citations2010: 46 citations2011: 76 citations2012: 75 citations2013: 184 citations2014: 286 citations2015: 314 citations2016: 230 citations2017: 207 citations2018: 211 citations2019: 514 citations2020: 582 citations2021: 636 citations2022: 697 citations2023: 765 citations2024: 1,522 citations2025: 1,644 citations2026: 993 citations1996–1997: no citations, so these years are not shown2002: no citations, so this year is not shown2005: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,729 citing papers, 26.4% of this breakdownUnited States: 1,944 citing papers, 18.8% of this breakdownUnited Kingdom: 535 citing papers, 5.2% of this breakdownGermany: 313 citing papers, 3% of this breakdownItaly: 253 citing papers, 2.5% of this breakdownCanada: 252 citing papers, 2.4% of this breakdownFrance: 246 citing papers, 2.4% of this breakdownAustralia: 238 citing papers, 2.3% of this breakdownIndia: 232 citing papers, 2.2% of this breakdownSouth Korea: 227 citing papers, 2.2% of this breakdownSweden: 227 citing papers, 2.2% of this breakdownSpain: 224 citing papers, 2.2% of this breakdown
0%26.4%Other 28.2%

Fields

  • Biochemistry, Genetics and Molecular Biology27.6%
  • Computer Science23%
  • Medicine17.9%
  • Agricultural and Biological Sciences6.7%
  • Materials Science6.4%
  • Engineering6.1%
  • Other12.3%

Topics

  • Multimodal Machine Learning Applications3.8%
  • Genomics and Phylogenetic Studies2.4%
  • Topic Modeling2.4%
  • Robot Manipulation and Learning2%
  • Genetic diversity and population structure1.9%
  • 2D Materials and Applications1.9%
  • Other85.6%

Coauthors

All papers

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  1. π0.5: a Vision-Language-Action Model with Open-World Generalization

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Quan Vuong, Homer Walke, Anna Walling, Haohuan Wang, Lili Yu, Ury Zhilinsky - ArXiv.org, CoRR 2025 cited by 741

  2. LIMA: Less Is More for Alignment

    Authors: , , , , , , , , , , , , , , - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 1,362

  3. Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

    Authors: , , , , , , , , , - ICLR 2025 cited by 452

  4. π*0.6: a VLA That Learns From Experience

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Devin LeBlanc, Sergey Levine, Adrian Li-Bell, Yao Lu, Vishnu Mano, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Allen Z. Ren, Charvi Sharma, Lucy Xiaoyang Shi, Laura Smith, Jost Tobias Springenberg, Kyle Stachowicz, Will Stoeckle, Alex Swerdlow, James Tanner, Marcel Torne, Quan Vuong, Anna Walling, Haohuan Wang, Blake Williams, Sukwon Yoo, Lili Yu, Ury Zhilinsky, Zhiyuan Zhou - ArXiv.org, CoRR 2025 cited by 156

  5. Plasma phosphorylated tau 217 and phosphorylated tau 181 as biomarkers in Alzheimer's disease and frontotemporal lobar degeneration: a retrospective diagnostic performance study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Bruce L. Miller, Charlotte E. Teunissen, Gil D. Rabinovici, Julio C. Rojas, Jeffrey L. Dage, Adam L. Boxer - The Lancet Neurology 2021 cited by 592

  6. Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 cited by 160

  7. LMFusion: Adapting Pretrained Language Models for Multimodal Generation

    Authors: , , , , , , - NeurIPS 2025 cited by 114

  8. Byte Latent Transformer: Patches Scale Better Than Tokens

    Authors: , , , , , , , , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2025 cited by 93

  9. Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better

    Authors: , , , , , , , , , , - NeurIPS 2025 cited by 122

  10. Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models

    Authors: , , , , , , , , , , - Trans. Mach. Learn. Res. 2025 cited by 67

  11. A Comparison of Traditional and Novel Methods for the Separation of Exosomes from Human Samples

    Authors: , , , , , , , , - BioMed Research International 2018 cited by 250

  12. Immunomodulatory effects of mesenchymal stromal cells-derived exosome

    Authors: , , , , , , , , , , - Immunologic Research 2016 cited by 348

  13. The Contribution of Genetic Risk and Lifestyle Factors in the Development of Adult-Onset Inflammatory Bowel Disease: A Prospective Cohort Study

    Authors: , , , , , , , , , , , , , , , , , , , - The American Journal of Gastroenterology 2023 cited by 108

  14. The NLRP3 Inflammasome in Non-Alcoholic Fatty Liver Disease and Steatohepatitis: Therapeutic Targets and Treatment

    Authors: , , , , , , - Frontiers in Pharmacology 2022 cited by 119

  15. UsingEye‐TrackingMeasures to Predict Reading Comprehension

    Authors: , , , , - Reading Research Quarterly 2023 cited by 101

  16. Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

    Authors: , , , , , , , , , - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 62

  17. MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

    Authors: , , , , , - NeurIPS 2023 cited by 177

  18. β-Elemene enhances erlotinib sensitivity through induction of ferroptosis by upregulating lncRNA H19 in EGFR-mutant non-small cell lung cancer

    Authors: , , , , , , , , , , , , , , , , , , , , - Pharmacological Research 2023 cited by 92

  19. π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Gashon Hussein, Victor Hwang, Brian Ichter, Connor Jacobsen, Szymon Jakubczak, Rowan Jen, Tim Jones, Gregg Kammerer, Ben Katz, Liyiming Ke, Mairbek Khadikov, Chandra Kuchi, Marinda Lamb, Devin LeBlanc, Brendon LeCount, Sergey Levine, Xinyu Li, Adrian Li-Bell, Vladislav Lialin, Zhonglin Liang, Wallace Lim, Yao Lu, Enyu Luo, Vishnu Mano, Nandan Marwaha, Aikys Mongush, Liam Murphy, Suraj Nair, Tyler Patterson, Karl Pertsch, Allen Z. Ren, Gavin Schelske, Charvi Sharma, Baifeng Shi, Lucy Xiaoyang Shi, Laura Smith, Jost Tobias Springenberg, Kyle Stachowicz, Will Stoeckle, Jiaming Tang, Jimmy Tanner, Shalom Tekeste, Marcel Torne, Kyle Vedder, Quan Vuong, Anna Walling, Haohuan Wang, Jason Wang, XuDong Wang, Chris Whalen, Samuel Whitmore, Blake Williams, Charles Xu, Sukwon Yoo, Lili Yu, Wuming Zhang, Zhuoyang Zhang, Ury Zhilinsky - ArXiv.org, CoRR 2026 cited by 31

  20. Plasma Neurofilament Light for Prediction of Disease Progression in Familial Frontotemporal Lobar Degeneration

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Rosa Rademakers, David J. Irwin, Murray Grossman, Eliana Marisa Ramos, Giovanni Coppola, Mario F. Mendez, Yvette Bordelon, Bradford C. Dickerson, Nupur Ghoshal, Edward D. Huey, Ian R. Mackenzie, Brian S. Appleby, Kimiko Domoto‐Reilly, Ging‐Yuek Robin Hsiung, Arthur W. Toga, Sandra Weıntraub, Daniel Kaufer, Diana Kerwin, Irene Litvan, Chiadikaobi Onyike, Alexander Pantelyat, Erik D. Roberson, Maria Carmela Tartaglia, Tatiana Foroud, Weiping Chen, Julie Czerkowicz, Danielle Graham, John C. van Swieten, Barbara Borroni, Raquel Sánchez‐Valle, Fermín Moreno, Robert Laforce, Caroline Graff, Matthis Synofzik, Daniela Galimberti, James B. Rowe, Mario Masellis, Elizabeth Finger, Rik Vandenberghe, Alexandre de Mendonça, Fabrizio Tagliavini, Isabel Santana, Simon Ducharme, Christopher Butler, Alexander Gerhard, Johannes Levin, Adrian Danek, Markus Otto, Sandro Sorbi, David M. Cash, Rhian S. Convery, Martina Bocchetta, Martha Foiani, Caroline Greaves, Georgia Peakman, Lucy L. Russell, Imogen J. Swift, Emily Todd, Jonathan D. Rohrer, Bradley F. Boeve, Howard J. Rosen, Adam L. Boxer, on behalf of the ALLFTD and GENFI consortia - Neurology 2021 cited by 104

  21. Role of the inflammasome in insulin resistance and type 2 diabetes mellitus

    Authors: , , , , , , - Frontiers in Immunology 2023 cited by 75

  22. Progress of gold nanomaterials for colorimetric sensing based on different strategies

    Authors: , , , , , - TrAC Trends in Analytical Chemistry 2020 cited by 148

  23. Alcohol consumption, DNA methylation and colorectal cancer risk: Results from pooled cohort studies and Mendelian randomization analysis

    Authors: , , , , , , , , , , , , , , - International Journal of Cancer 2022 cited by 75

  24. Mendelian randomization and clinical trial evidence supports TYK2 inhibition as a therapeutic target for autoimmune diseases

    Authors: , , , , , , , , , , , , , , , , , - EBioMedicine 2023 cited by 72