World's Best Scientists 2026 revealed!
Huiling Chen

Huiling Chen

Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
103
Citations
42739
World Ranking
322
National Ranking
37

Huiling Chen publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Huiling Chen sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 472 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Huiling Chen D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Huiling Chen sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 103 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Huiling Chen is affiliated with Wenzhou University in China and has contributed extensively to the field of computer science, with a specialization in artificial intelligence and related subfields. Their work is primarily rooted in metaheuristic optimization algorithms, advanced multi-objective optimization, and evolutionary algorithms, reflecting a broad engagement with computational theory and applications.

Their publication record includes significant contributions in notable journals such as Expert Systems with Applications, Biomedical Signal Processing and Control, Computers in Biology and Medicine, Journal of Bionic Engineering, and Journal of Computational Design and Engineering.

Chen's recent papers demonstrate a focus on optimization techniques and algorithm development, including:

  • Slime mould algorithm: A new method for stochastic optimization, 2020, Future Generation Computer Systems
  • Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts, 2021, Expert Systems with Applications
  • RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method, 2021, Expert Systems with Applications
  • RIME: A physics-based optimization, 2023, Neurocomputing
  • INFO: An efficient optimization algorithm based on weighted mean of vectors, 2022, Expert Systems with Applications

Frequent collaborators in Chen's research include Ali Asghar Heidari, Zhennao Cai, Guoxi Liang, Mingjing Wang, and Yi Chen. The volume of joint publications with these co-authors suggests ongoing research partnerships, particularly with Ali Asghar Heidari.

Chen's research topics cover a range of areas within computational sciences and applied technology:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Machine Learning and ELM
  • Solar Radiation and Photovoltaics
  • Photovoltaic System Optimization Techniques
  • COVID-19 diagnosis using AI

Their work integrates both theoretical and applied dimensions, reflecting interests spanning computer vision and pattern recognition, computational theory and mathematics, molecular biology, and biomedical engineering.

Chen's body of work contributes to the development of computational methods for optimization and artificial intelligence, with applications in diverse scientific and engineering domains.

Best Publications

  • Harris hawks optimization: Algorithm and applications

    Ali Asghar Heidari;Ali Asghar Heidari;Seyedali Mirjalili;Hossam Faris;Ibrahim Aljarah

  • Slime mould algorithm: A new method for stochastic optimization

    Shimin Li;Huiling Chen;Mingjing Wang;Ali Asghar Heidari;Ali Asghar Heidari

  • INFO: An efficient optimization algorithm based on weighted mean of vectors

    Unknown

  • RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method

    Iman Ahmadianfar;Ali Asghar Heidari;Ali Asghar Heidari;Amir H. Gandomi;Xuefeng Chu

  • Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

    Yutao Yang;Huiling Chen;Ali Asghar Heidari;Ali Asghar Heidari;Amir H Gandomi

  • RIME: A physics-based optimization

    Unknown

  • Evolving support vector machines using fruit fly optimization for medical data classification

    Liming Shen;Huiling Chen;Zhe Yu;Wenchang Kang

  • The Colony Predation Algorithm

    Jiaze Tu;Huiling Chen;Mingjing Wang;Amir H. Gandomi

  • Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses

    Mingjing Wang;Huiling Chen;Huiling Chen;Bo Yang;Xuehua Zhao

  • A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis

    Hui-Ling Chen;Bo Yang;Jie Liu;Da-You Liu

  • Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis

    Mingjing Wang;Huiling Chen

  • An Enhanced Fast Non-Dominated Solution Sorting Genetic Algorithm for Multi-objective Problems

    Wu Deng;Xiaoxiao Zhang;Yongquan Zhou;Yi Liu

  • Enhanced Moth-flame optimizer with mutation strategy for global optimization

    Yueting Xu;Huiling Chen;Jie Luo;Qian Zhang

  • Parrot optimizer: Algorithm and applications to medical problems

    Unknown

  • An Improved Particle Swarm Optimization for Feature Selection

    Yuanning Liu;Gang Wang;Huiling Chen;Hao Dong

  • A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique

    Abeer Saber;Mohamed Sakr;Osama M. Abo-Seida;Arabi Keshk

  • Boosted binary Harris hawks optimizer and feature selection

    Yanan Zhang;Yanan Zhang;Renjing Liu;Xin Wang;Huiling Chen

  • Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients.

    Xuehua Zhao;Xiang Zhang;Zhennao Cai;Xin Tian

  • Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies

    Hao Chen;Ali Asghar Heidari;Ali Asghar Heidari;Huiling Chen;Mingjing Wang

  • An efficient diagnosis system for detection of Parkinson's disease using fuzzy k-nearest neighbor approach

    Hui-Ling Chen;Chang-Cheng Huang;Xin-Gang Yu;Xin Xu

  • Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy

    Dong Zhao;Lei Liu;Fanhua Yu;Ali Asghar Heidari;Ali Asghar Heidari

  • Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts

    Huiling Chen;Shan Jiao;Mingjing Wang;Ali Asghar Heidari;Ali Asghar Heidari

  • A balanced whale optimization algorithm for constrained engineering design problems

    Huiling Chen;Yueting Xu;Mingjing Wang;Xuehua Zhao

  • An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis.

    Qiang Li;Huiling Chen;Hui Huang;Xuehua Zhao

Frequent Co-Authors

Ali Asghar Heidari
Ali Asghar Heidari National University of Singapore
Majdi M. Mafarja
Majdi M. Mafarja Birzeit University
Amir H. Gandomi
Amir H. Gandomi University of Technology Sydney
Diego Oliva
Diego Oliva University of Guadalajara
Mohammed Azmi Al-Betar
Mohammed Azmi Al-Betar Ajman University of Science and Technology
Seyedali Mirjalili
Seyedali Mirjalili Torrens University Australia
Hashim Hizam
Hashim Hizam Universiti Putra Malaysia
Ibrahim Aljarah
Ibrahim Aljarah University of Jordan
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Hossam Faris
Hossam Faris University of Jordan

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