Tao Lin

Active 1986–2026

Also published as
Tao, Lin
998
Papers
46,778
Citations
101
h-index
618
i10-index

Citations

Citations per year for Tao Lin1977: 1 citations1984: 1 citations1986: 1 citations1987: 1 citations1988: 2 citations1990: 5 citations1991: 4 citations1992: 10 citations1993: 13 citations1994: 17 citations1995: 17 citations1996: 17 citations1997: 20 citations1998: 15 citations1999: 21 citations2000: 19 citations2001: 18 citations2002: 30 citations2003: 36 citations2004: 64 citations2005: 53 citations2006: 85 citations2007: 95 citations2008: 91 citations2009: 95 citations2010: 146 citations2011: 145 citations2012: 146 citations2013: 128 citations2014: 218 citations2015: 307 citations2016: 343 citations2017: 433 citations2018: 546 citations2019: 1,074 citations2020: 1,540 citations2021: 2,078 citations2022: 2,268 citations2023: 2,324 citations2024: 2,995 citations2025: 2,401 citations2026: 641 citations2027: 5 citations1978–1983: no citations, so these years are not shown1985: no citations, so this year is not shown1989: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 7,838 citing papers, 36.8% of this breakdownUnited States: 3,240 citing papers, 15.2% of this breakdownUnited Kingdom: 821 citing papers, 3.9% of this breakdownGermany: 664 citing papers, 3.1% of this breakdownIndia: 627 citing papers, 2.9% of this breakdownCanada: 598 citing papers, 2.8% of this breakdownAustralia: 521 citing papers, 2.4% of this breakdownItaly: 482 citing papers, 2.3% of this breakdownSouth Korea: 433 citing papers, 2% of this breakdownFrance: 422 citing papers, 2% of this breakdownJapan: 421 citing papers, 2% of this breakdownHong Kong: 397 citing papers, 1.9% of this breakdown
0%36.8%Other 22.7%

Fields

  • Computer Science27.4%
  • Engineering20.1%
  • Biochemistry, Genetics and Molecular Biology15.3%
  • Medicine10.5%
  • Agricultural and Biological Sciences8.5%
  • Environmental Science3.7%
  • Other14.5%

Topics

  • Traffic Prediction and Management Techniques3.3%
  • Transportation Planning and Optimization1.5%
  • Privacy-Preserving Technologies in Data1.5%
  • Human Mobility and Location-Based Analysis1.2%
  • Traffic control and management1.2%
  • Advanced Numerical Methods in Computational Mathematics1.1%
  • Other90.2%

Coauthors

All papers

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  1. T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

    Authors: , , , , , , , - IEEE Transactions on Intelligent Transportation Systems, IEEE Trans. Intell. Transp. Syst. 2019 cited by 3,157

  2. Ensemble Distillation for Robust Model Fusion in Federated Learning

    Authors: , , , - NeurIPS 2020 cited by 1,528

  3. Graph pangenome captures missing heritability and empowers tomato breeding

    Authors: , , , , , , , , , , , , , , , , , , , , , - Nature 2022 cited by 517

  4. KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

    Authors: , , , , , , , - IEEE Transactions on Intelligent Transportation Systems, IEEE Trans. Intell. Transp. Syst. 2022 cited by 181

  5. RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts

    Authors: , , , , , , , , , , , , , , , , , , , , , , - ICML 2025 cited by 113

  6. Rewiring of the Fruit Metabolome in Tomato Breeding

    Authors: , , , , , , , , , , , , , , , , , , , - Cell 2018 cited by 1,012

  7. A chemical genetic roadmap to improved tomato flavor

    Authors: , , , , , , , , , , , , , , , , , , , - Science 2017 cited by 867

  8. A route to de novo domestication of wild allotetraploid rice

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Cell 2021 cited by 491

  9. Baichuan-Omni Technical Report

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 58

  10. Food and agro-product quality evaluation based on spectroscopy and deep learning: A review

    Authors: , , , - Trends in Food Science & Technology 2021 cited by 230

  11. XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

    Authors: , , , , - Mathematics 2021 cited by 140

  12. DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis

    Authors: , , , , - Analytica Chimica Acta 2019 cited by 360

  13. DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping

    Authors: , , , , , , , , - Remote Sensing of Environment 2020 cited by 255

  14. Endothelial Cell‐Derived Lactate Triggers Bone Mesenchymal Stem Cell Histone Lactylation to Attenuate Osteoporosis

    Authors: , , , , , , , , , , , , , , , , , , , , , - Advanced Science 2023 cited by 117

  15. A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing

    Authors: , , , , , - IEEE Transactions on Vehicular Technology, IEEE Trans. Veh. Technol. 2020 cited by 177

  16. Epidemic spreading on higher-order networks

    Authors: , , , , , , , , - Physics Reports 2024 cited by 148

  17. Gene function and cell surface protein association analysis based on single-cell multiomics data

    Authors: , , , , , , , , , , - Computers in Biology and Medicine, Comput. Biol. Medicine 2023 cited by 148

  18. Deep learning for vibrational spectral analysis: Recent progress and a practical guide

    Authors: , , , , , - Analytica Chimica Acta 2019 cited by 295

  19. Genomic analyses provide insights into the history of tomato breeding

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yongchen Du, Sanwen Huang, Yongchen Du, Sanwen Huang - Nature Genetics 2014 cited by 985

  20. STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

    Authors: , , , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2025 cited by 42

  21. Fatigue‐Resistant Conducting Polymer Hydrogels as Strain Sensor for Underwater Robotics

    Authors: , , , , , , , , , , , , , , , - Advanced Functional Materials 2023 cited by 209

  22. Don't Use Large Mini-Batches, Use Local SGD

    Authors: , , , - ICLR 2020 cited by 470

  23. New Cartesian grid methods for interface problems using the finite element formulation

    Authors: , , - Numerische Mathematik 2003 cited by 436

  24. Masking as an Efficient Alternative to Finetuning for Pretrained Language Models

    Authors: , , , , - Conference on Empirical Methods in Natural Language Processing (EMNLP), EMNLP (1) 2020 cited by 75