Xingyu Wang

Active 2004–2026

Also published as
XingYu Wang
489
Papers
31,873
Citations
86
h-index
294
i10-index

Citations

Citations per year for Xingyu Wang1972: 1 citations1973: 2 citations1974: 2 citations1987: 2 citations1992: 2 citations1996: 2 citations1999: 7 citations2001: 1 citations2004: 9 citations2005: 5 citations2006: 12 citations2007: 19 citations2008: 32 citations2009: 104 citations2010: 105 citations2011: 159 citations2012: 199 citations2013: 211 citations2014: 266 citations2015: 345 citations2016: 452 citations2017: 500 citations2018: 663 citations2019: 1,148 citations2020: 1,384 citations2021: 1,402 citations2022: 1,268 citations2023: 1,057 citations2024: 1,480 citations2025: 1,145 citations2026: 199 citations1975–1986: no citations, so these years are not shown1988–1991: no citations, so these years are not shown1993–1995: no citations, so these years are not shown1997–1998: no citations, so these years are not shown2000: no citations, so this year is not shown2002–2003: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,821 citing papers, 23.4% of this breakdownUnited States: 2,193 citing papers, 13.5% of this breakdownUnited Kingdom: 948 citing papers, 5.8% of this breakdownCanada: 564 citing papers, 3.5% of this breakdownIndia: 562 citing papers, 3.4% of this breakdownAustralia: 525 citing papers, 3.2% of this breakdownGermany: 441 citing papers, 2.7% of this breakdownItaly: 420 citing papers, 2.6% of this breakdownJapan: 416 citing papers, 2.6% of this breakdownSouth Korea: 293 citing papers, 1.8% of this breakdownSpain: 284 citing papers, 1.7% of this breakdownFrance: 273 citing papers, 1.7% of this breakdown
0%23.4%Other 34.1%

Fields

  • Medicine32.4%
  • Neuroscience23.7%
  • Biochemistry, Genetics and Molecular Biology10.1%
  • Engineering8.9%
  • Computer Science8.8%
  • Nursing3.5%
  • Other12.6%

Topics

  • EEG and Brain-Computer Interfaces7.8%
  • Neuroscience and Neural Engineering2.9%
  • Acute Ischemic Stroke Management2.3%
  • Gaze Tracking and Assistive Technology2.1%
  • Blind Source Separation Techniques2.1%
  • Nutritional Studies and Diet2%
  • Other80.8%

Coauthors

All papers

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  1. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): a case-control study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Aytekin Oğuz, Xingyu Wang, Ernesto Peñaherrera, Fernando Laņas, Okechukwu S. Ogah, Adesola Ogunniyi, Helle K. Iversen, Germán Málaga, Zvonko Rumboldt, Shahram Oveisgharan, F Hussain, Daliwonga Magazi, Yongchai Nilanont, John Ferguson, Guillaume Paré, Salim Yusuf - The Lancet 2016 cited by 2,209

  2. Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - The Lancet 2010 cited by 3,467

  3. Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory

    Authors: , , , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2020 cited by 262

  4. GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion

    Authors: , , , , , , , - Conference on Autonomous Agents and Multiagent Systems, Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems 2026 cited by 53

  5. Single-cell transcriptional profiles in human skeletal muscle

    Authors: , , , , , , , , , , , , - Scientific Reports 2020 cited by 339

  6. Associations of fats and carbohydrate intake with cardiovascular disease and mortality in 18 countries from five continents (PURE): a prospective cohort study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Koon Teo, Sumathy Rangarajan, Gilles R. Dagenais, Shrikant I. Bangdiwala, Shofiqul Islam, Sonia S. Anand, Salim Yusuf, Rafael Díaz, Andrés Orlandini, B Linetsky, S Toscanelli, Germana Casaccia, JM Maini Cuneo, Omar Rahman, Rita Yusuf, AK Azad, Khondkar Ayaz Rabbani, HM Cherry, Adnan Mannan, I Hassan, AT Talukdar, RB Tooheen, MU Khan, Mariz Sintaha, Tarzia Choudhury, Md Rabiul Haque, S Parvin, Álvaro Avezum, GB Oliveira, CS Marcílio, Antônio José Cordeiro Mattos, Koon Teo, Salim Yusuf, Jane DeJesus, D Agapay, T Tongana, Rubén Solano, I. Patrick Kay, Sylvie Trottier, Julija Rimac, W Elsheikh, L Heldman, E Ramezani, Gilles R. Dagenais, Paul Poirier, Ginette Turbide, D. Auger, A LeBlanc De Bluts, MC Proulx, Marie‐Pierre Cayer, Nadine Bonneville, Scott A. Lear, Danijela Gašević, E Corber, Veronica de Jong, I Vukmirovich, Andreas Wielgosz, George Fodor, Andrew Pipe, A Shane, Fernando Laņas, Pamela Serón, S Martinez, A Valdebenito, María José Oliveros, Wei Li, Liu Lisheng, Chen Chunming, Xingyu Wang, Wen­hua Zhao and 262 more - The Lancet 2017 cited by 1,112

  7. Lipoprotein(a) Levels and the Risk of Myocardial Infarction Among 7 Ethnic Groups

    Authors: , , , , , , , , , , - Circulation 2019 cited by 391

  8. Robust Similarity Measurement Based on a Novel Time Filter for SSVEPs Detection

    Authors: , , , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2021 cited by 145

  9. Fruit, vegetable, and legume intake, and cardiovascular disease and deaths in 18 countries (PURE): a prospective cohort study

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , V. Raman Kutty, Wei Li, Jiankang Liu, Xiaoyun Liu, Lu Yin, Koon Teo, Sonia S. Anand, Salim Yusuf, Rafael Díaz, Andrés Orlandini, B Linetsky, S Toscanelli, Germana Casaccia, JM Maini Cuneo, Omar Rahman, Rita Yusuf, AK Azad, Khondkar Ayaz Rabbani, HM Cherry, Adnan Mannan, I Hassan, AT Talukdar, RB Tooheen, MU Khan, Mariz Sintaha, Tarzia Choudhury, Md Rabiul Haque, S Parvin, Álvaro Avezum, GB Oliveira, CS Marcílio, Antônio José Cordeiro Mattos, Koon Teo, Salim Yusuf, Jane DeJesus, D Agapay, T Tongana, Rubén Solano, I. Patrick Kay, Sylvie Trottier, Julija Rimac, W Elsheikh, L Heldman, E Ramezani, Gilles R. Dagenais, Paul Poirier, Ginette Turbide, D. Auger, A LeBlanc De Bluts, MC Proulx, Marie‐Pierre Cayer, Nadine Bonneville, Scott A. Lear, Danijela Gašević, E Corber, Veronica de Jong, I Vukmirovich, Andreas Wielgosz, George Fodor, Andrew Pipe, A Shane, Fernando Laņas, Pamela Serón, S Martinez, A Valdebenito, María José Oliveros, Wei Li, Liu Lisheng, Chen Chunming, Xingyu Wang and 263 more - The Lancet 2017 cited by 654

  10. Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI

    Authors: , , , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2018 cited by 329

  11. Gut microbiota regulates postprandial GLP-1 response via ileal bile acid-TGR5 signaling

    Authors: , , , , , , , , , , , , , , , , - Gut Microbes 2023 cited by 93

  12. SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding

    Authors: , , , , , , , - IEEE Transactions on Neural Systems and Rehabilitation Engineering 2022 cited by 87

  13. A long-term multivariate time series forecasting network combining series decomposition and convolutional neural networks

    Authors: , , , , - Applied Soft Computing, Appl. Soft Comput. 2023 cited by 52

  14. Bacteroides methylmalonyl-CoA mutase produces propionate that promotes intestinal goblet cell differentiation and homeostasis

    Authors: , , , , , , , , , , , , , , , , , , , , , - Cell Host & Microbe 2023 cited by 95

  15. Feature Extraction Method Based on Filter Banks and Riemannian Tangent Space in Motor-Imagery BCI

    Authors: , , , - IEEE Journal of Biomedical and Health Informatics, IEEE J. Biomed. Health Informatics 2022 cited by 78

  16. Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification

    Authors: , , , , , , - IEEE Transactions on Neural Systems and Rehabilitation Engineering 2021 cited by 125

  17. MOCNN: A Multiscale Deep Convolutional Neural Network for ERP-Based Brain-Computer Interfaces

    Authors: , , , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2024 cited by 51

  18. BCI-Based Rehabilitation on the Stroke in Sequela Stage

    Authors: , , , , , , , , , - Neural Plasticity 2020 cited by 110

  19. Lipids, lipoproteins, and apolipoproteins as risk markers of myocardial infarction in 52 countries (the INTERHEART study): a case-control study

    Authors: , , , , , , , , , , , - The Lancet 2008 cited by 868

  20. Association of Urinary Sodium and Potassium Excretion with Blood Pressure

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - New England Journal of Medicine 2014 cited by 857

  21. Mechanism of All- Trans Retinoic Acid Effect on Tumor-Associated Myeloid-Derived Suppressor Cells

    Authors: , , , , , - Cancer Research 2007 cited by 417

  22. Effect of mutations on binding of ligands to guanine riboswitch probed by free energy perturbation and molecular dynamics simulations

    Authors: , , , , - Nucleic Acids Research 2019 cited by 180

  23. Urinary Sodium and Potassium Excretion, Mortality, and Cardiovascular Events

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - New England Journal of Medicine 2014 cited by 895

  24. Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models

    Authors: , , , , , , , - Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL (Long Papers) 2025 cited by 25