Qing-Hua Ling

1.5k total citations
51 papers, 1.1k citations indexed

About

Qing-Hua Ling is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qing-Hua Ling has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 20 papers in Computational Theory and Mathematics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qing-Hua Ling's work include Metaheuristic Optimization Algorithms Research (31 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Machine Learning and ELM (14 papers). Qing-Hua Ling is often cited by papers focused on Metaheuristic Optimization Algorithms Research (31 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Machine Learning and ELM (14 papers). Qing-Hua Ling collaborates with scholars based in China, United States and Ghana. Qing-Hua Ling's co-authors include Fei Han, Henry Han, De-Shuang Huang, Jing Jiang, Fei Han, Benyue Su, Arfan Ali Nagra, Jie Wang, Yuqing Song and Jianming Zhang and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Qing-Hua Ling

42 papers receiving 1.0k citations

Peers

Qing-Hua Ling
Fei Han China
Hassan Shaban Egypt
Gehad Ismail Sayed Egypt
Priyanka Anand India
Daniel Hernández-Lobato Spain
Irfan Younas Pakistan
Changfei Tong China
Mehreen Saeed Pakistan
Hong Duan China
Mohammad Bagher Dowlatshahi Iran
Fei Han China
Qing-Hua Ling
Citations per year, relative to Qing-Hua Ling Qing-Hua Ling (= 1×) peers Fei Han

Countries citing papers authored by Qing-Hua Ling

Since Specialization
Citations

This map shows the geographic impact of Qing-Hua Ling'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 Qing-Hua Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing-Hua Ling more than expected).

Fields of papers citing papers by Qing-Hua Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing-Hua Ling. 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 Qing-Hua Ling. The network helps show where Qing-Hua Ling may publish in the future.

Co-authorship network of co-authors of Qing-Hua Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Qing-Hua Ling. A scholar is included among the top collaborators of Qing-Hua Ling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qing-Hua Ling. Qing-Hua Ling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Han, Fei, et al.. (2025). Contribution-based imbalanced hybrid resampling ensemble. Pattern Recognition. 164. 111553–111553. 1 indexed citations
2.
Han, Fei, et al.. (2025). A denoising majority weighted minority oversampling technique for imbalanced classification. Expert Systems with Applications. 288. 128199–128199. 1 indexed citations
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Han, Fei, et al.. (2025). Constraint-Pareto Dominance and Diversity Enhancement Strategy-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems. IEEE Transactions on Evolutionary Computation. 29(6). 2771–2784. 5 indexed citations
5.
Han, Fei, et al.. (2025). MORPSO_ECD+ELM: A Unified Framework for Gene Selection and Cancer Classification. IEEE Journal of Biomedical and Health Informatics. 29(6). 4571–4584. 1 indexed citations
6.
Ling, Qing-Hua, et al.. (2025). Feature selection based on multimodal multi-objective particle swarm optimization and prior information. Pattern Analysis and Applications. 28(4).
7.
Han, Fei, Qing-Hua Ling, Sheng Lu, & Henry Han. (2025). Feature enrichment imitative reinforcement learning for high-frequency trading. Expert Systems with Applications. 296. 129043–129043.
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Han, Fei, et al.. (2023). A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection. Applied Intelligence. 53(17). 20535–20560. 13 indexed citations
11.
Liu, Zhe, Fei Han, Qing-Hua Ling, et al.. (2023). A Many-Objective Optimization Evolutionary Algorithm Based on Hyper-Dominance Degree. SSRN Electronic Journal. 24 indexed citations
12.
Ling, Qing-Hua, et al.. (2022). An Improved Multi-Objective Particle Swarm Optimization Algorithm Based on Angle Preference. Symmetry. 14(12). 2619–2619. 1 indexed citations
13.
Han, Fei, et al.. (2021). Multi-objective particle swarm optimization with adaptive strategies for feature selection. Swarm and Evolutionary Computation. 62. 100847–100847. 129 indexed citations
14.
Jiang, Jing, Fei Han, Jie Wang, et al.. (2021). Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search. Information Sciences. 576. 557–576. 13 indexed citations
15.
Xiong, Ying, Qing-Hua Ling, Fei Han, & Qinghua Liu. (2019). An efficient gene selection method for microarray data based on LASSO and BPSO. BMC Bioinformatics. 20(S22). 715–715. 27 indexed citations
16.
Jiang, Jing, Fei Han, Qing-Hua Ling, et al.. (2019). Efficient network architecture search via multiobjective particle swarm optimization based on decomposition. Neural Networks. 123. 305–316. 55 indexed citations
17.
Ling, Qing-Hua, Yuqing Song, Fei Han, Dan Yang, & De-Shuang Huang. (2016). An Improved Ensemble of Random Vector Functional Link Networks Based on Particle Swarm Optimization with Double Optimization Strategy. PLoS ONE. 11(11). e0165803–e0165803. 14 indexed citations
18.
Han, Fei, Dan Yang, Qing-Hua Ling, & De-Shuang Huang. (2015). A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization. 1–7. 7 indexed citations
19.
Han, Fei, Wei Sun, & Qing-Hua Ling. (2014). A Novel Strategy for Gene Selection of Microarray Data Based on Gene-to-Class Sensitivity Information. PLoS ONE. 9(5). e97530–e97530. 21 indexed citations
20.
Han, Fei & Qing-Hua Ling. (2007). A New Approach for Function Approximation Based on Adaptive Particle Swarm Optimization. 1. 501–505. 2 indexed citations

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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