Wei Shao

Active 1994–2026

740
Papers
48,236
Citations
93
h-index
415
i10-index

Citations

Citations per year for Wei Shao1877: 1 citations1930: 1 citations1966: 1 citations1973: 1 citations1989: 1 citations1993: 1 citations1995: 2 citations1996: 6 citations1997: 10 citations1998: 7 citations1999: 6 citations2000: 11 citations2001: 276 citations2002: 396 citations2003: 344 citations2004: 294 citations2005: 226 citations2006: 193 citations2007: 209 citations2008: 200 citations2009: 229 citations2010: 239 citations2011: 200 citations2012: 183 citations2013: 218 citations2014: 229 citations2015: 270 citations2016: 361 citations2017: 410 citations2018: 508 citations2019: 1,085 citations2020: 1,258 citations2021: 1,577 citations2022: 1,507 citations2023: 1,503 citations2024: 2,238 citations2025: 2,783 citations2026: 817 citations2027: 2 citations1878–1929: no citations, so these years are not shown1931–1965: no citations, so these years are not shown1967–1972: no citations, so these years are not shown1974–1988: no citations, so these years are not shown1990–1992: no citations, so these years are not shown1994: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 5,352 citing papers, 25.6% of this breakdownUnited States: 4,806 citing papers, 23% of this breakdownUnited Kingdom: 995 citing papers, 4.8% of this breakdownGermany: 754 citing papers, 3.6% of this breakdownAustralia: 666 citing papers, 3.2% of this breakdownCanada: 651 citing papers, 3.1% of this breakdownIndia: 586 citing papers, 2.8% of this breakdownItaly: 457 citing papers, 2.2% of this breakdownFrance: 455 citing papers, 2.2% of this breakdownJapan: 420 citing papers, 2% of this breakdownSpain: 403 citing papers, 1.9% of this breakdownSouth Korea: 366 citing papers, 1.7% of this breakdown
0%25.6%Other 23.9%

Fields

  • Biochemistry, Genetics and Molecular Biology29.5%
  • Computer Science20.1%
  • Medicine16.6%
  • Engineering11.1%
  • Immunology and Microbiology5.4%
  • Neuroscience4.5%
  • Other12.8%

Topics

  • Multimodal Machine Learning Applications2%
  • Genomics and Phylogenetic Studies1.9%
  • RNA and protein synthesis mechanisms1.7%
  • HIV Research and Treatment1.7%
  • RNA modifications and cancer1.4%
  • Bioinformatics and Genomic Networks1.3%
  • Other90%

Coauthors

All papers

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  1. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jiaye Ge, Kai Chen, Zhang, Kaipeng, Wang, Limin, Min Dou, Lewei Lu, Zhu, Xizhou, Tong Lü, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang - arXiv (Cornell University), CoRR 2024 cited by 1,368

  2. MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification

    Authors: , , , , , , - Nature Communications 2021 cited by 596

  3. The Sequence of the Human Genome

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Arnold J. Levine, Richard J. Roberts, Mel I. Simon, Carolyn W. Slayman, Michael W. Hunkapiller, Randall Bolanos, Arthur L. Delcher, Ian Dew, Daniel Fasulo, Michael J. Flanigan, Liliana Florea, Aaron L. Halpern, Sridhar Hannenhalli, Saul Kravitz, Samuel Lévy, Clark Mobarry, Knut Reinert, Karin Remington, Jane Abu-Threideh, Ellen M. Beasley, Kendra Biddick, Vivien Bonazzi, Rhonda Brandon, Michele Cargill, Ishwar Chandramouliswaran, Rosane Charlab, Kabir Chaturvedi, Zuoming Deng, Valentina Di Francesco, Patrick Dunn, Karen Eilbeck, Carlos Evangelista, Andrei Gabrielian, Weiniu Gan, Wangmao Ge, Fangcheng Gong, Zhiping Gu, Ping Guan, Thomas J. Heiman, Maureen E. Higgins, Rui‐Ru Ji, Zhaoxi Ke, Karen A. Ketchum, Zhongwu Lai, Yiding Lei, Zhenya Li, Jiayin Li, Yong Liang, Xiaoying Lin, Fu Lu, Gennady V. Merkulov, Natalia V. Milshina, Helen M. Moore, Ashwinikumar K. Naik, Vaibhav A. Narayan, Beena Neelam, Deborah Nusskern, Douglas B. Rusch, Steven L. Salzberg, Wei Shao, Bixiong Chris Shue, Jing‐Tao Sun, Zhen Yuan Wang, Aihui Wang, Xin Wang, Jian Wang, Ming-Hui Wei, Ron Wides, Chunlin Xiao, Chunhua Yan and 173 more - Science 2001 cited by 13,699

  4. Wnt/beta-catenin signaling confers ferroptosis resistance by targeting GPX4 in gastric cancer

    Authors: , , , , , , , , , , , , , , - Cell Death and Differentiation 2022 cited by 409

  5. CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

    Authors: , , , , , - CoRL 2022 cited by 161

  6. Inhibition of METTL3 attenuates renal injury and inflammation by alleviating TAB3 m6A modifications via IGF2BP2-dependent mechanisms

    Authors: , , , , , , , , , , , , , , , , , , , , , , - Science Translational Medicine 2022 cited by 298

  7. Promoting Angiogenesis in Oxidative Diabetic Wound Microenvironment Using a Nanozyme-Reinforced Self-Protecting Hydrogel

    Authors: , , , , - ACS Central Science 2019 cited by 337

  8. Specific HIV integration sites are linked to clonal expansion and persistence of infected cells

    Authors: , , , , , , , , , , , - Science 2014 cited by 901

  9. Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease

    Authors: , , , , - Computerized Medical Imaging and Graphics, Comput. Medical Imaging Graph. 2019 cited by 162

  10. Multimodal Triplet Attention Network for Brain Disease Diagnosis

    Authors: , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2022 cited by 74

  11. C9orf72 poly(GR) aggregation induces TDP-43 proteinopathy

    Authors: , , , , , , , , , , , , , , , , , , , , , - Science Translational Medicine 2020 cited by 196

  12. Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images

    Authors: , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 cited by 86

  13. Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis

    Authors: , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2022 cited by 68

  14. Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications

    Authors: , , , , , , , , , , , , , - Cancers 2022 cited by 134

  15. Integrating Large Language Models Into Recommendation via Mutual Augmentation and Adaptive Aggregation

    Authors: , , , , , , , , , , , - IEEE Journal of Selected Topics in Signal Processing, IEEE J. Sel. Top. Signal Process. 2026 cited by 42

  16. Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images

    Authors: , , , , , , , , , , , , , - npj Precision Oncology 2023 cited by 89

  17. Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis

    Authors: , , , , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2019 cited by 107

  18. Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT

    Authors: , , , , , , , , , , , , , , , , , - IEEE Journal of Biomedical and Health Informatics, IEEE J. Biomed. Health Informatics 2020 cited by 239

  19. Generative Adversarial Networks for Spatio-temporal Data: A Survey

    Authors: , , , , , , , - ACM Transactions on Intelligent Systems and Technology, ACM Trans. Intell. Syst. Technol. 2022 cited by 123

  20. Clonally expanded CD4 + T cells can produce infectious HIV-1 in vivo

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , John W. Mellors, Frank Maldarelli - National Academy of Sciences, Proceedings of the National Academy of Sciences 2016 cited by 382

  21. AARGNN: An Attentive Attributed Recurrent Graph Neural Network for Traffic Flow Prediction Considering Multiple Dynamic Factors

    Authors: , , , , , - IEEE Transactions on Intelligent Transportation Systems, IEEE Trans. Intell. Transp. Syst. 2022 cited by 67

  22. Expanding Roles for SREBP in Metabolism

    Authors: , - Cell Metabolism 2012 cited by 520

  23. Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention

    Authors: , , , , , , , , - Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022 cited by 59

  24. Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification

    Authors: , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2024 cited by 48