Xinyi Liu

Active 1997–2026

551
Papers
20,658
Citations
68
h-index
292
i10-index

Citations

Citations per year for Xinyi Liu1973: 5 citations1993: 1 citations1998: 1 citations2000: 4 citations2001: 2 citations2004: 1 citations2006: 1 citations2009: 5 citations2010: 9 citations2011: 7 citations2012: 19 citations2013: 35 citations2014: 48 citations2015: 52 citations2016: 92 citations2017: 126 citations2018: 119 citations2019: 427 citations2020: 553 citations2021: 685 citations2022: 723 citations2023: 732 citations2024: 1,408 citations2025: 1,799 citations2026: 539 citations2027: 1 citations1974–1992: no citations, so these years are not shown1994–1997: no citations, so these years are not shown1999: no citations, so this year is not shown2002–2003: no citations, so these years are not shown2005: no citations, so this year is not shown2007–2008: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,060 citing papers, 35.8% of this breakdownUnited States: 1,253 citing papers, 14.7% of this breakdownUnited Kingdom: 358 citing papers, 4.2% of this breakdownIndia: 273 citing papers, 3.2% of this breakdownAustralia: 217 citing papers, 2.5% of this breakdownGermany: 213 citing papers, 2.5% of this breakdownCanada: 192 citing papers, 2.2% of this breakdownItaly: 178 citing papers, 2.1% of this breakdownHong Kong: 169 citing papers, 2% of this breakdownFrance: 156 citing papers, 1.8% of this breakdownSouth Korea: 156 citing papers, 1.8% of this breakdownSpain: 133 citing papers, 1.6% of this breakdown
0%35.8%Other 25.6%

Fields

  • Computer Science27.6%
  • Biochemistry, Genetics and Molecular Biology20.5%
  • Medicine18.1%
  • Engineering10.8%
  • Social Sciences3.4%
  • Environmental Science3.2%
  • Other16.4%

Topics

  • Topic Modeling2.5%
  • Computational Drug Discovery Methods1.9%
  • Multimodal Machine Learning Applications1.6%
  • Mosquito-borne diseases and control1.4%
  • Advanced biosensing and bioanalysis techniques1.3%
  • Natural Language Processing Techniques1.1%
  • Other90.2%

Coauthors

All papers

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  1. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

    Authors: , :, , , , , , , , , , , , , , , , , , , , , , , , , , , , , Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xia Xiao, Xiaohan Zhang, Xiaotao Gu, LV Xin, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Zhang, Xunkai, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, Zihan Wang - arXiv (Cornell University), CoRR 2024 cited by 1,061

  2. AutoGLM: Autonomous Foundation Agents for GUIs

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 106

  3. VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - ICLR 2025 cited by 92

  4. Multi-Modal Remote Sensing Image Matching Considering Co-Occurrence Filter

    Authors: , , , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2022 cited by 157

  5. Consumer intention to use service robots: a cognitive–affective–conative framework

    Authors: , , , - International Journal of Contemporary Hospitality Management 2023 cited by 115

  6. Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response

    Authors: , , , - Methods 2019 cited by 244

  7. Phosphoantigens glue butyrophilin 3A1 and 2A1 to activate Vγ9Vδ2 T cells

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Eric Oldfield, Rey‐Ting Guo, Yonghui Zhang - Nature 2023 cited by 126

  8. When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments

    Authors: , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 38

  9. Phase separation of OCT4 controls TAD reorganization to promote cell fate transitions

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Cell stem cell 2021 cited by 159

  10. Role of artificial intelligence in revolutionizing drug discovery

    Authors: , , , , , , , , - Fundamental Research 2024 cited by 119

  11. SM2miR: a database of the experimentally validated small molecules' effects on microRNA expression

    Authors: , , , , , , , , - Bioinformatics, Bioinform. 2012 cited by 223

  12. Allosite: a method for predicting allosteric sites

    Authors: , , , , , , , , , , - Bioinformatics, Bioinform. 2013 cited by 226

  13. Time-dependent effect of 1,6-hexanediol on biomolecular condensates and 3D chromatin organization

    Authors: , , , , , , - Genome biology 2021 cited by 100

  14. Trabectedin induces ferroptosis via regulation of HIF-1α/IRP1/TFR1 and Keap1/Nrf2/GPX4 axis in non-small cell lung cancer cells

    Authors: , , , - Chemico-Biological Interactions 2022 cited by 76

  15. Zika Virus Disrupts Neural Progenitor Development and Leads to Microcephaly in Mice

    Authors: , , , , , , , , , - Cell stem cell 2016 cited by 768

  16. Improved Method for the Identification and Validation of Allosteric Sites

    Authors: , , , , , , - Journal of Chemical Information and Modeling, J. Chem. Inf. Model. 2017 cited by 157

  17. ASD2023: towards the integrating landscapes of allosteric knowledgebase

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Nucleic Acids Research 2023 cited by 53

  18. Precise prediction of phase-separation key residues by machine learning

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Nature Communications 2024 cited by 79

  19. Gut microbiota-mediated immunomodulation in tumor

    Authors: , , , - Journal of Experimental & Clinical Cancer Research 2021 cited by 107

  20. A Fine-Grained Differentially Private Federated Learning Against Leakage From Gradients

    Authors: , , , , , - IEEE Internet of Things Journal, IEEE Internet Things J. 2021 cited by 42

  21. Multiplexed reverse-transcriptase quantitative polymerase chain reaction using plasmonic nanoparticles for point-of-care COVID-19 diagnosis

    Authors: , , , , , , , , , , , , , , , , , , , , , - Nature Nanotechnology 2022 cited by 115

  22. V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction

    Authors: , , , , , , , , , , , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2025 cited by 21

  23. Size- and cell type-dependent cellular uptake, cytotoxicity and in vivo distribution of gold nanoparticles

    Authors: , , , , , , , , , , - International Journal of Nanomedicine 2019 cited by 183

  24. Upregulation of Piezo1 (Piezo Type Mechanosensitive Ion Channel Component 1) Enhances the Intracellular Free Calcium in Pulmonary Arterial Smooth Muscle Cells From Idiopathic Pulmonary Arterial Hypertension Patients

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Hypertension 2021 cited by 87