Yujing Zhang

Active 1996–2026

264
Papers
31,579
Citations
61
h-index
179
i10-index

Citations

Citations per year for Yujing Zhang1993: 1 citations1996: 1 citations1997: 2 citations1998: 2 citations1999: 3 citations2000: 16 citations2001: 20 citations2002: 22 citations2003: 22 citations2004: 12 citations2005: 15 citations2006: 13 citations2007: 17 citations2008: 11 citations2009: 48 citations2010: 97 citations2011: 134 citations2012: 203 citations2013: 243 citations2014: 260 citations2015: 269 citations2016: 277 citations2017: 262 citations2018: 209 citations2019: 615 citations2020: 732 citations2021: 915 citations2022: 749 citations2023: 904 citations2024: 4,159 citations2025: 6,751 citations2026: 2,446 citations1994–1995: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,797 citing papers, 26.7% of this breakdownUnited States: 2,781 citing papers, 19.6% of this breakdownUnited Kingdom: 614 citing papers, 4.3% of this breakdownItaly: 458 citing papers, 3.2% of this breakdownGermany: 452 citing papers, 3.2% of this breakdownIndia: 408 citing papers, 2.9% of this breakdownSouth Korea: 387 citing papers, 2.7% of this breakdownCanada: 376 citing papers, 2.6% of this breakdownJapan: 368 citing papers, 2.6% of this breakdownAustralia: 314 citing papers, 2.2% of this breakdownHong Kong: 313 citing papers, 2.2% of this breakdownSpain: 279 citing papers, 2% of this breakdown
0%26.7%Other 25.8%

Fields

  • Computer Science48.4%
  • Biochemistry, Genetics and Molecular Biology22%
  • Medicine9.3%
  • Engineering5.9%
  • Social Sciences2.9%
  • Psychology1.6%
  • Other9.9%

Topics

  • Topic Modeling6.7%
  • Multimodal Machine Learning Applications5.2%
  • MicroRNA in disease regulation5.1%
  • Natural Language Processing Techniques4.2%
  • Extracellular vesicles in disease3.1%
  • Circular RNAs in diseases2.4%
  • Other73.3%

Coauthors

All papers

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  1. Gemini: A Family of Highly Capable Multimodal Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Clemens Meyer, Eliza Rutherford, Érica Rodrigues Moreira, Kareem Ayoub, Megha Goel, Jack Krawczyk, Cosmo Du, Ed H., Heng-Tze Cheng, Eric C. Ni, Purvi Shah, Patrick Kane, Betty Chan, Manaal Faruqui, Aliaksei Severyn, Hanzhao Lin, YaGuang Li, Yong Cheng, Abe Ittycheriah, Mahdis Mahdieh, Mia Chen, Pei Sun, Dustin Tran, Sumit Bagri, Balaji Lakshminarayanan, Jeremiah Liu, András Orbán, Fabian Güra, Hao Zhou, Xinying Song, Aurelien Boffy, Harish Ganapathy, Steven Zheng, HyunJeong Choe, Ágoston Weisz, Tao Zhu, Yifeng Lu, Siddharth Gopal, Jarrod Kahn, Maciej Kula, Jeff Pitman, Rushin Shah, Emanuel Taropa, Majd Al Merey, Martin Baeuml, Zhifeng Chen, Laurent El Shafey, Yujing Zhang, Olcan Sercinoglu, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, Alexandre Fréchette, Charlotte G. Smith, Laura Culp, Lev Proleev, Yi Luan, Xi Chen and 1,251 more - arXiv (Cornell University), CoRR 2023 cited by 6,876

  2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Junwhan Ahn, Zhu, Tao, Kawintiranon, Kornraphop, Orhan Fırat, Gu, Yiming, Yujing Zhang, Rahtz, Matthew, Faruqui, Manaal, Natalie A. Clay, Justin Gilmer, Co-Reyes, JD, Ivo Penchev, Rui Zhu, Nobuyuki Morioka, Kevin Hui, Krishna Haridasan, Víctor Campos, Mahdieh, Mahdis, Guo, Mandy, Samer Hassan, Kilgour, Kevin, Arpi Vezer, Cheng, Heng-Tze, Raoul de Liedekerke, Goyal, Siddharth, Paul Barham, Strouse, DJ, Seb Noury, Jonas Adler, Mukund Sundararajan, Sharad Vikram, Lepikhin, Dmitry, Michela Paganini, Xavier García, Fan Yang, Valter, Dasha, Maja Trębacz, Kiran Vodrahalli, Chulayuth Asawaroengchai, Roman Ring, Kalb, Norbert, Livio Baldini Soares, Siddhartha Brahma, David F. Steiner, Tianhe Yu, Fabian Mentzer, Antoine He, Lucas Gonzalez, Bibo Xu, Raphaël Lopez Kaufman, Laurent El Shafey, Junhyuk Oh, Tom Hennigan, George van den Driessche, Seth Odoom, Mario Lučić, Becca Roelofs, Lall, Sid, Amit Marathe, Chan, Betty, Santiago Ontañón, Luheng He, Denis Teplyashin, Lai, Jonathan, Phil Crone, Bogdan Damoc, Ho, Lewis, Sebastian Riedel, Karel Lenc, Chih‐Kuan Yeh and 1,037 more - arXiv (Cornell University), CoRR 2024 cited by 3,345

  3. PaLM 2 Technical Report

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Siddhartha Brahma, Kevin R. Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vlad Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier García, Sebastian Gehrmann, Lucas Gonzalez, Guy Gur-Ari, Steven C. Hand, Hadi Hashemi, Le Hou, J. J. Howland, Andrea Hu, Jeffrey Hui, Jeremy Hurwitz, Michael Isard, Abe Ittycheriah, Matthew Jagielski, Wenhao Jia, Kathleen Kenealy, Maxim Krikun, Sneha Kudugunta, Chang Lan, Katherine Lee, Benjamin Lee, Eric Li, Music Li, Wei Li, YaGuang Li, Jian Li, Hyeontaek Lim, Hanzhao Lin, Zhongtao Liu, Frederick Liu, Marcello Maggioni, Aroma Mahendru, Joshua Maynez, Vedant Misra, Maysam Moussalem, Zachary Nado, John Nham, Eric C. Ni, A. Nystrom, Alicia Parrish, Marie Pellat, Martin Poláček, Alex Polozov, Reiner Pope, Siyuan Qiao, Emily Reif, Bryan Richter, Parker Riley, Alex Castro Ros, Aurko Roy, Brennan Saeta and 28 more - arXiv (Cornell University), CoRR 2023 cited by 1,627

  4. Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Junfeng Zhang, Junfeng Zhang, Chen-Yu Zhang - Cell Research 2008 cited by 4,583

  5. Exogenous plant MIR168a specifically targets mammalian LDLRAP1: evidence of cross-kingdom regulation by microRNA

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - Cell Research 2011 cited by 1,194

  6. New-generation advanced PROTACs as potential therapeutic agents in cancer therapy

    Authors: , , , , - Molecular Cancer 2024 cited by 161

  7. An engineered exosome for delivering sgRNA:Cas9 ribonucleoprotein complex and genome editing in recipient cells

    Authors: , , , , , , , , , , , - Biomaterials Science 2020 cited by 173

  8. Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey

    Authors: , , , - IEEE Communications Surveys & Tutorials, IEEE Commun. Surv. Tutorials 2015 cited by 481

  9. Honeysuckle-encoded atypical microRNA2911 directly targets influenza A viruses

    Authors: , , , , , , , , , , , , , , , , , , , , , - Cell Research 2014 cited by 463

  10. A review on insoluble-bound phenolics in plant-based food matrix and their contribution to human health with future perspectives

    Authors: , , , , - Trends in Food Science & Technology 2020 cited by 217

  11. Secreted Monocytic miR-150 Enhances Targeted Endothelial Cell Migration

    Authors: , , , , , , , , , , , , , , , , , , , , , - Molecular Cell 2010 cited by 1,192

  12. Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

    Authors: , , , , , , , - International Conference on Information & Knowledge Management, CIKM 2020 cited by 239

  13. Developments of CRBN-based PROTACs as potential therapeutic agents

    Authors: , , , - European Journal of Medicinal Chemistry 2021 cited by 138

  14. Disinfection technology of hospital wastes and wastewater: Suggestions for disinfection strategy during coronavirus Disease 2019 (COVID-19) pandemic in China

    Authors: , , , , , , , , , - Environmental Pollution 2020 cited by 632

  15. CAN: Feature Co-Action Network for Click-Through Rate Prediction

    Authors: , , , , , , , , , , , , , , - Fifteenth ACM International Conference on Web Search and Data Mining, WSDM 2022 cited by 68

  16. Expression of miRNA-29 in Pancreatic β Cells Promotes Inflammation and Diabetes via TRAF3

    Authors: , , , , , , , , , , , , , - Cell Reports 2021 cited by 131

  17. LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora

    Authors: , , , , , , , - ArXiv.org, CoRR 2025 cited by 29

  18. Modulating the Tumor Microenvironment via Oncolytic Viruses and CSF-1R Inhibition Synergistically Enhances Anti-PD-1 Immunotherapy

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Molecular Therapy 2018 cited by 114

  19. Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models

    Authors: , , , , , , - International Conference on Information & Knowledge Management, CIKM 2022 cited by 42

  20. Tumor-secreted miR-214 induces regulatory T cells: a major link between immune evasion and tumor growth

    Authors: , , , , , , , , , , , , , , , , , , , , , - Cell Research 2014 cited by 280

  21. Targeted exosome-mediated delivery of opioid receptor Mu siRNA for the treatment of morphine relapse

    Authors: , , , , , , , , , , , , , , , , , , , - Scientific Reports 2015 cited by 281

  22. Volatile fatty acids production from food waste: Effects of pH, temperature, and organic loading rate

    Authors: , , , , , - Bioresource Technology 2013 cited by 613

  23. Resistant starch and the gut microbiome: Exploring beneficial interactions and dietary impacts

    Authors: , , , , , , , , - Food Chemistry X 2024 cited by 99

  24. Gonadal white adipose tissue-derived exosomal MiR-222 promotes obesity-associated insulin resistance

    Authors: , , , , , , , , , , , - Aging 2020 cited by 81