Yaochu Jin

Active 1995–2026

792
Papers
55,982
Citations
116
h-index
489
i10-index

Citations

Citations per year for Yaochu Jin1961: 1 citations1975: 1 citations1979: 8 citations1990: 4 citations1991: 1 citations1992: 1 citations1995: 1 citations1997: 1 citations1998: 6 citations1999: 9 citations2000: 9 citations2001: 25 citations2002: 40 citations2003: 85 citations2004: 91 citations2005: 154 citations2006: 249 citations2007: 329 citations2008: 413 citations2009: 463 citations2010: 402 citations2011: 520 citations2012: 580 citations2013: 538 citations2014: 573 citations2015: 650 citations2016: 948 citations2017: 1,115 citations2018: 1,742 citations2019: 2,451 citations2020: 2,976 citations2021: 3,904 citations2022: 4,244 citations2023: 5,014 citations2024: 5,421 citations2025: 4,823 citations2026: 1,506 citations2027: 21 citations1962–1974: no citations, so these years are not shown1976–1978: no citations, so these years are not shown1980–1989: no citations, so these years are not shown1993–1994: no citations, so these years are not shown1996: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 9,325 citing papers, 36.5% of this breakdownUnited Kingdom: 1,919 citing papers, 7.5% of this breakdownUnited States: 1,773 citing papers, 6.9% of this breakdownAustralia: 872 citing papers, 3.4% of this breakdownIndia: 864 citing papers, 3.4% of this breakdownGermany: 777 citing papers, 3% of this breakdownJapan: 659 citing papers, 2.6% of this breakdownSpain: 602 citing papers, 2.4% of this breakdownHong Kong: 587 citing papers, 2.3% of this breakdownSingapore: 464 citing papers, 1.8% of this breakdownCanada: 451 citing papers, 1.8% of this breakdownIran: 437 citing papers, 1.7% of this breakdown
0%36.5%Other 26.7%

Fields

  • Computer Science71.1%
  • Engineering16.7%
  • Biochemistry, Genetics and Molecular Biology2%
  • Decision Sciences1.8%
  • Physics and Astronomy1.7%
  • Medicine1.6%
  • Other5.1%

Topics

  • Advanced Multi-Objective Optimization Algorithms14.6%
  • Metaheuristic Optimization Algorithms Research14.4%
  • Evolutionary Algorithms and Applications8.4%
  • Neural Networks and Applications1.7%
  • Optimal Experimental Design Methods1.6%
  • Machine Learning and Data Classification1.1%
  • Other58.2%

Coauthors

All papers

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  1. PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]

    Authors: , , , - IEEE Computational Intelligence Magazine, IEEE Comput. Intell. Mag. 2017 cited by 2,613

  2. A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization

    Authors: , , , - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2016 cited by 1,706

  3. A Coevolutionary Framework for Constrained Multiobjective Optimization Problems

    Authors: , , , , - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2020 cited by 677

  4. A Competitive Swarm Optimizer for Large Scale Optimization

    Authors: , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2014 cited by 1,033

  5. Surrogate-assisted evolutionary computation: Recent advances and future challenges

    Authors: - Swarm and Evolutionary Computation, Swarm Evol. Comput. 2011 cited by 1,437

  6. Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization

    Authors: , , , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2021 cited by 362

  7. Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer

    Authors: , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2004 cited by 463

  8. Data-Driven Evolutionary Optimization: An Overview and Case Studies

    Authors: , , , , - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2018 cited by 656

  9. A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization

    Authors: , , , - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2016 cited by 645

  10. Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

    Authors: , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2019 cited by 570

  11. Evolutionary Large-Scale Multi-Objective Optimization: A Survey

    Authors: , , , , , , - ACM Computing Surveys, ACM Comput. Surv. 2021 cited by 375

  12. A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization

    Authors: , , , , - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2016 cited by 600

  13. An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility

    Authors: , , , , - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2017 cited by 695

  14. An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems

    Authors: , , , - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2019 cited by 415

  15. A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization

    Authors: , , - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2014 cited by 863

  16. A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization

    Authors: , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2013 cited by 530

  17. A benchmark test suite for evolutionary many-objective optimization

    Authors: , , , , , , - Complex & Intelligent Systems 2017 cited by 493

  18. Test Problems for Large-Scale Multiobjective and Many-Objective Optimization

    Authors: , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2016 cited by 413

  19. Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization

    Authors: , , , , , - IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Trans. Emerg. Top. Comput. Intell. 2022 cited by 201

  20. A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization

    Authors: , , , , , - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2018 cited by 440

  21. Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation

    Authors: , , , , , , - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2019 cited by 345

  22. Artificial intelligence in recommender systems

    Authors: , , - Complex & Intelligent Systems 2020 cited by 428

  23. Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks

    Authors: , , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2020 cited by 299

  24. A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization

    Authors: , , , - IEEE Transactions on Evolutionary Computation, IEEE Trans. Evol. Comput. 2021 cited by 255