RESEARCHER PROFILE

Huiling Chen

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Chongqing University

Metaheuristic Optimization Algorithms ResearchArtificial Immune Systems ApplicationsAdvanced Multi-Objective Optimization AlgorithmsArtificial Intelligence in HealthcareMedical Image Segmentation Techniques

Huiling Chen works in Metaheuristic Optimization Algorithms Research, Artificial Immune Systems Applications, Advanced Multi-Objective Optimization Algorithms, Artificial Intelligence in Healthcare, Medical Image Segmentation Techniques. Recorded institutional associations include Fu Jen Catholic University, Wenzhou University, Chongqing University.

880Publications
51,631Citations
106H-index

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Harris hawks optimization: Algorithm and applications

    2019 · 6,324 citations
  2. Slime mould algorithm: A new method for stochastic optimization

    2020 · 3,036 citations
  3. RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method

    2021 · 1,115 citations
  4. RIME: A physics-based optimization

    2023 · 1,074 citations
  5. Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

    2021 · 1,062 citations
  6. INFO: An efficient optimization algorithm based on weighted mean of vectors

    2022 · 822 citations
  7. The Colony Predation Algorithm

    2021 · 571 citations
  8. Evolving support vector machines using fruit fly optimization for medical data classification

    2016 · 538 citations
  9. Parrot optimizer: Algorithm and applications to medical problems

    2024 · 479 citations
  10. An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems

    2021 · 462 citations
  11. Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis

    2019 · 455 citations
  12. Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses

    2017 · 450 citations
  13. A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique

    2021 · 419 citations
  14. Enhanced Moth-flame optimizer with mutation strategy for global optimization

    2019 · 415 citations
  15. Generative Adversarial Networks in Medical Image augmentation: A review

    2022 · 414 citations
  16. A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis

    2011 · 382 citations
  17. An improved particle swarm optimization for feature selection

    2011 · 323 citations
  18. Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies

    2020 · 322 citations
  19. A balanced whale optimization algorithm for constrained engineering design problems

    2019 · 320 citations
  20. Boosted binary Harris hawks optimizer and feature selection

    2020 · 318 citations
  21. Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients

    2018 · 310 citations
  22. Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy

    2020 · 307 citations
  23. An efficient diagnosis system for detection of Parkinson’s disease using fuzzy k-nearest neighbor approach

    2012 · 303 citations
  24. Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts

    2019 · 294 citations
  25. Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

    2020 · 289 citations

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