Yongxin Liu

Active 2004–2026

205
Papers
37,363
Citations
45
h-index
127
i10-index

Citations

Citations per year for Yongxin Liu1976: 1 citations1981: 3 citations1990: 1 citations1996: 1 citations2001: 2 citations2004: 3 citations2005: 1 citations2006: 1 citations2007: 1 citations2008: 2 citations2012: 1 citations2014: 2 citations2015: 3 citations2016: 1 citations2017: 4 citations2018: 30 citations2019: 287 citations2020: 1,050 citations2021: 1,764 citations2022: 1,809 citations2023: 1,599 citations2024: 2,584 citations2025: 1,422 citations2026: 97 citations1977–1980: no citations, so these years are not shown1982–1989: no citations, so these years are not shown1991–1995: no citations, so these years are not shown1997–2000: no citations, so these years are not shown2002–2003: no citations, so these years are not shown2009–2011: no citations, so these years are not shown2013: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,639 citing papers, 24% of this breakdownUnited States: 2,718 citing papers, 17.9% of this breakdownGermany: 583 citing papers, 3.8% of this breakdownUnited Kingdom: 582 citing papers, 3.8% of this breakdownCanada: 539 citing papers, 3.6% of this breakdownAustralia: 466 citing papers, 3.1% of this breakdownItaly: 456 citing papers, 3% of this breakdownJapan: 406 citing papers, 2.7% of this breakdownSpain: 387 citing papers, 2.5% of this breakdownSouth Korea: 361 citing papers, 2.4% of this breakdownFrance: 324 citing papers, 2.1% of this breakdownIndia: 300 citing papers, 2% of this breakdown
0%24%Other 29.1%

Fields

  • Biochemistry, Genetics and Molecular Biology35.7%
  • Agricultural and Biological Sciences14.3%
  • Environmental Science12.8%
  • Medicine12.6%
  • Computer Science7.9%
  • Engineering5.3%
  • Other11.4%

Topics

  • Gut microbiota and health15%
  • Microbial Community Ecology and Physiology4%
  • Clostridium difficile and Clostridium perfringens research2.5%
  • Probiotics and Fermented Foods2.4%
  • Genomics and Phylogenetic Studies2.1%
  • Diet and metabolism studies2%
  • Other72%

Coauthors

All papers

Open in search
  1. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Julia M. Gauglitz, Sean M. Gibbons, Deanna L. Gibson, Antonio González, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K. Jarmusch, Lingjing Jiang, Benjamin D. Kaehler, Kyo Bin Kang, Christopher R. Keefe, Paul Keim, Scott T. Kelley, Dan Knights, Irina Koester, Tomasz Kościółek, Jorden Kreps, Morgan G. I. Langille, Joslynn S. Lee, Ruth E. Ley, Yongxin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J. McIver, Alexey V. Melnik, Jessica L. Metcalf, Sydney Morgan, Jamie Morton, Ahmad Turan Naimey, José A. Navas-Molina, Louis‐Félix Nothias, Stephanie B. Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary L. Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam R. Rivers, Michael S. Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R. Spear, Austin D. Swafford, Luke Thompson, Pedro J. Torres, Pauline Trinh, Anupriya Tripathi, Peter J. Turnbaugh, Sabah Ul-Hasan, Justin J. J. van der Hooft, Fernando Vargas, Yoshiki Vázquez‐Baeza, Emily Vogtmann, Max von Hippel, William A. Walters and 12 more - Nature Biotechnology 2019 cited by 24,006

  2. A Decade Survey of Transfer Learning (2010-2020)

    Authors: , , , - IEEE Transactions on Artificial Intelligence, IEEE Trans. Artif. Intell. 2020 cited by 636

  3. A practical guide to amplicon and metagenomic analysis of microbiome data

    Authors: , , , , , , - Protein & Cell 2020 cited by 879

  4. ImageGP: An easy‐to‐use data visualization web server for scientific researchers

    Authors: , , - iMeta 2022 cited by 477

  5. Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Julia M. Gauglitz, Sean M. Gibbons, Deanna L. Gibson, Antonio González, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin Huttley, Stefan Janssen, Alan K. Jarmusch, Lingjing Jiang, Benjamin D. Kaehler, Kyo Bin Kang, Christopher R. Keefe, Paul Keim, Scott T. Kelley, Dan Knights, Irina Koester, Tomasz Kościółek, Jorden Kreps, Morgan G. I. Langille, Joslynn S. Lee, Ruth E. Ley, Yongxin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D Martin, Daniel McDonald, Lauren J. McIver, Alexey V. Melnik, Jessica L. Metcalf, Sydney Morgan, Jamie Morton, Ahmad Turan Naimey, José A. Navas-Molina, Louis‐Félix Nothias, Stephanie B. Orchanian, Talima Pearson, Samuel L Peoples, Daniel Petras, Mary L. Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam R. Rivers, Michael S. Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R. Spear, Austin D. Swafford, Luke Thompson, Pedro J. Torres, Pauline Trinh, Anupriya Tripathi, Peter J. Turnbaugh, Sabah Ul-Hasan, Justin J. J. van der Hooft, Fernando Vargas, Yoshiki Vázquez‐Baeza, Emily Vogtmann, Max von Hippel, William A. Walters and 12 more - Nature Biotechnology 2019 cited by 874

  6. NRT1.1B is associated with root microbiota composition and nitrogen use in field-grown rice

    Authors: , , , , , , , , , , , , , , , , , , , , - Nature Biotechnology 2019 cited by 1,136

  7. A specialized metabolic network selectively modulates Arabidopsis root microbiota

    Authors: , , , , , , , , , , , - Science 2019 cited by 761

  8. ggClusterNet: An R package for microbiome network analysis and modularity‐based multiple network layouts

    Authors: , , , , , , , , , - iMeta 2022 cited by 442

  9. Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey

    Authors: , , , , - IEEE Internet of Things Journal, IEEE Internet Things J. 2021 cited by 165

  10. A Systematic Survey: Security Threats to UAV-Aided IoT Applications, Taxonomy, Current Challenges and Requirements With Future Research Directions

    Authors: , , , , , - IEEE Transactions on Intelligent Transportation Systems, IEEE Trans. Intell. Transp. Syst. 2022 cited by 70

  11. A Formal Correctness Proof for Code Generation from SSA Form in Isabelle/HOL

    Authors: , , , , , , - GI Jahrestagung (2) 2004 cited by 398

  12. EasyAmplicon: An easy‐to‐use, open‐source, reproducible, and community‐based pipeline for amplicon data analysis in microbiome research

    Authors: , , , , , , , , , , , , , , , , , , , , , - iMeta 2023 cited by 263

  13. Wekemo Bioincloud: A user‐friendly platform for meta‐omics data analyses

    Authors: , , , - iMeta 2024 cited by 253

  14. High-throughput cultivation and identification of bacteria from the plant root microbiota

    Authors: , , , , , , - Nature Protocols 2021 cited by 284

  15. Class-Incremental Learning for Wireless Device Identification in IoT

    Authors: , , , , - IEEE Internet of Things Journal, IEEE Internet Things J. 2021 cited by 85

  16. TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

    Authors: , , , , , , , , - Advances in Neural Information Processing Systems 37 2024 cited by 60

  17. High-fat diet-disturbed gut microbiota-colonocyte interactions contribute to dysregulating peripheral tryptophan-kynurenine metabolism

    Authors: , , , , , , , , - Microbiome 2023 cited by 83

  18. Visualizing set relationships: EVenn's comprehensive approach to Venn diagrams

    Authors: , , , - iMeta 2024 cited by 136

  19. The best practice for microbiome analysis using R

    Authors: , , , , , - Protein & Cell 2023 cited by 125

  20. Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices

    Authors: , , , , , , - IEEE Internet of Things Journal, IEEE Internet Things J. 2020 cited by 94

  21. Incomplete multi-view clustering via structure exploration and missing-view inference

    Authors: , , , , , - Information Fusion, Inf. Fusion 2023 cited by 28

  22. Mesenchymal Stem Cell‐Derived Exosomes Ameliorate Delayed Neurocognitive Recovery in Aged Mice by Inhibiting Hippocampus Ferroptosis via Activating SIRT1/Nrf2/HO‐1 Signaling Pathway

    Authors: , , , , , , , - Oxidative Medicine and Cellular Longevity 2022 cited by 50

  23. The gut microbiota‐aromatic hydrocarbon receptor (AhR) axis mediates the anticolitic effect of polyphenol‐rich extracts from Sanghuangporus

    Authors: , , , , , , , , , - iMeta 2024 cited by 83

  24. Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection

    Authors: , , , , , , , - Communications in computer and information science 2024 cited by 25