Huiling Chen

53.7k citations
790 papers · 42.9k · 32 hit papers · h-index 100

Impact in

    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications
    • Machine Learning and ELM
    • Solar Radiation and Photovoltaics
    • AI in cancer detection
    • Advanced Multi-Objective Optimization Algorithms

Papers in

Huiling Chen

751 papers receiving 42.2k citations

Huiling Chen's Hit Papers

Artemisinin optimization based on malaria therapy: Algorithm and applications to medical image segmentation 2024 · 77 citations
770+1+3Years since publication200400600

Peers

Huiling Chen
Comparison fields: 5 of 229
  • Artificial Intelligence 20.5k
  • Computational Theory and Mathematics 6.5k
  • Computer Vision and Pattern Recognition 5.5k
  • Health Information Management 868
  • Renewable Energy, Sustainability and the Environment 3.0k
Replace Ali Asghar Heidari with:
Ali Asghar Heidari China
Amir H. Gandomi Australia
Laith Abualigah Jordan
Mohamed Abd Elaziz Egypt
Xin‐She Yang United Kingdom
Andrew Lewis Australia
Aboul Ella Hassanien Egypt
Sepp Hochreiter Austria
Seyed Mohammad Mirjalili Australia
Ponnuthurai Nagaratnam Suganthan Singapore
Huiling Chen relative to Ali Asghar Heidari China Ali Asghar Heidari's profile →
Citations per field
00.5×20×40×62.4×
Ali Asghar Heidari · 1×
Citations per year

Countries citing papers authored by Huiling Chen

Since Specialization
Citations

This map shows the geographic impact of Huiling Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Huiling Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiling Chen more than expected).

Fields of papers citing papers by Huiling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huiling Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Huiling Chen. The network helps show where Huiling Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Huiling Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Huiling Chen Line = papers co-authored together Huiling Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 790 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Harris hawks optimization: Algorithm and applications
Hit paper breakdown →
20194808
2
Slime mould algorithm: A new method for stochastic optimization
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20202398
3
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
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2021904
4
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
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2021880
5
RIME: A physics-based optimization
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2023666
6
INFO: An efficient optimization algorithm based on weighted mean of vectors
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2022637
7
The Colony Predation Algorithm
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2021509
8
Evolving support vector machines using fruit fly optimization for medical data classification
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2016469
9
Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses
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2017406
10
Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis
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2019384
11 2006375
12
Enhanced Moth-flame optimizer with mutation strategy for global optimization
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2019370
13
An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems
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2021363
14
A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis
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2011320
15
A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique
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2021302
16
Generative Adversarial Networks in Medical Image augmentation: A review
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2022283
17
A balanced whale optimization algorithm for constrained engineering design problems
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2019282
18
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
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2020282
19
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
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2020280
20
Boosted binary Harris hawks optimizer and feature selection
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2020280

About Huiling Chen

Huiling Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Computational Theory and Mathematics and Biomedical Engineering, having authored 790 papers that have together received 42.9k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (202 papers), Advanced Multi-Objective Optimization Algorithms (95 papers), Evolutionary Algorithms and Applications (92 papers), Machine Learning and ELM (68 papers), Solar Radiation and Photovoltaics (38 papers), Photovoltaic System Optimization Techniques (37 papers), Face and Expression Recognition (30 papers) and AI in cancer detection (24 papers). The work is most often cited by research in Artificial Intelligence (20.5k citations), Computational Theory and Mathematics (6.5k citations), Computer Vision and Pattern Recognition (5.5k citations), Health Information Management (868 citations) and Renewable Energy, Sustainability and the Environment (3.0k citations). Huiling Chen has collaborated with scholars based in China, Iran and United States. Frequent co-authors include Ali Asghar Heidari, Mingjing Wang, Seyedali Mirjalili, Majdi Mafarja, Hossam Faris, Ibrahim Aljarah, Xuehua Zhao, Amir H. Gandomi, Zhennao Cai and Shimin Li. Their work appears in journals such as Expert Systems with Applications, IEEE Access, Computers in Biology and Medicine, Biomedical Signal Processing and Control and Journal of Computational Design and Engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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