Qingfu Zhang

39.6k total citations · 16 hit papers
374 papers, 28.8k citations indexed

About

Qingfu Zhang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Qingfu Zhang has authored 374 papers receiving a total of 28.8k indexed citations (citations by other indexed papers that have themselves been cited), including 219 papers in Artificial Intelligence, 200 papers in Computational Theory and Mathematics and 41 papers in Industrial and Manufacturing Engineering. Recurrent topics in Qingfu Zhang's work include Advanced Multi-Objective Optimization Algorithms (188 papers), Metaheuristic Optimization Algorithms Research (182 papers) and Evolutionary Algorithms and Applications (107 papers). Qingfu Zhang is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (188 papers), Metaheuristic Optimization Algorithms Research (182 papers) and Evolutionary Algorithms and Applications (107 papers). Qingfu Zhang collaborates with scholars based in China, Hong Kong and United Kingdom. Qingfu Zhang's co-authors include Hui Li, Aimin Zhou, Hui Li, Sam Kwong, Ponnuthurai Nagaratnam Suganthan, Yaochu Jin, Yong Wang, Ke Li, Shi-Zheng Zhao and Kalyanmoy Deb and has published in prestigious journals such as Environmental Science & Technology, Clinical Infectious Diseases and Langmuir.

In The Last Decade

Qingfu Zhang

343 papers receiving 28.2k citations

Hit Papers

MOEA/D: A Multiobjective Evolutionary Algorithm Based on ... 2007 2026 2013 2019 2007 2008 2011 2011 2014 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
    2007 6.8k citations Qingfu Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  2. Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
    2008 1.9k citations Qingfu Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  3. Multiobjective evolutionary algorithms: A survey of the state of the art
    2011 1.6k citations Hui Li, Qingfu Zhang et al. Swarm and Evolutionary Computation profile →
  4. Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters
    2011 1.1k citations Qingfu Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  5. An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition
    2014 917 citations Qingfu Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  6. Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition
    2009 757 citations Qingfu Zhang et al. profile →
  7. Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems
    2013 643 citations Qingfu Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  8. RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
    2008 628 citations Qingfu Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  9. Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model
    2009 526 citations Qingfu Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  10. The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances
    2009 476 citations Qingfu Zhang, Hui Li et al. profile →
  11. A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems
    2013 412 citations Qingfu Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  12. A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization
    2013 374 citations Qingfu Zhang et al. IEEE Transactions on Cybernetics profile →
  13. Push and pull search for solving constrained multi-objective optimization problems
    2018 372 citations Hui Li, Qingfu Zhang et al. Swarm and Evolutionary Computation profile →
  14. Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition
    2013 293 citations Qingfu Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  15. Stable Matching-Based Selection in Evolutionary Multiobjective Optimization
    2014 273 citations Qingfu Zhang et al. IEEE Transactions on Evolutionary Computation profile →
  16. Distributed evolutionary algorithms and their models: A survey of the state-of-the-art
    2015 272 citations Qingfu Zhang et al. profile →

Peers

Qingfu Zhang
Yaochu Jin China
Carlos A. Coello Coello Mexico
Eckart Zitzler Switzerland
Xin Yao China
Lothar Thiele Switzerland
Kay Chen Tan Singapore
Sakshi Agarwal India
Hisao Ishibuchi Japan
Zbigniew Michalewicz Australia
Amrit Pratap United States
Yaochu Jin China
Qingfu Zhang
Citations per year, relative to Qingfu Zhang Qingfu Zhang (= 1×) peers Yaochu Jin

Countries citing papers authored by Qingfu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Qingfu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qingfu Zhang. 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 Qingfu Zhang. The network helps show where Qingfu Zhang may publish in the future.

Co-authorship network of co-authors of Qingfu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingfu Zhang. A scholar is included among the top collaborators of Qingfu Zhang 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 Qingfu Zhang. Qingfu Zhang 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.
Tian, Chunwei, Zhe Peng, Wangmeng Zuo, et al.. (2025). A survey on deep learning fundamentals. Artificial Intelligence Review. 58(12).
2.
3.
Jin, Guangxu, et al.. (2025). Coupling the recycling of spent carbide slag and the conversion of low-rank coal for the production of hydrogen-rich syngas. Journal of the Energy Institute. 119. 101975–101975. 1 indexed citations
4.
Lin, Xi, et al.. (2025). Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1367–1378.
5.
Lin, Xi, et al.. (2025). PMGDA: A Preference-Based Multiple Gradient Descent Algorithm. IEEE Transactions on Emerging Topics in Computational Intelligence. 10(2). 1098–1110. 2 indexed citations
6.
Zhang, Qingfu, et al.. (2025). A Distributed Multi-Objective Detection Method for Multi-Sensor Systems With Unknown Local SNR. IEEE Transactions on Signal Processing. 73. 649–663. 1 indexed citations
7.
Wang, Yalin, et al.. (2024). Exploring interpretable evolutionary optimization via significance of each constraint and population diversity. Swarm and Evolutionary Computation. 91. 101679–101679. 7 indexed citations
8.
Gao, Xiaoguang, et al.. (2024). Incorporating structural constraints into continuous optimization for causal discovery. Neurocomputing. 595. 127902–127902. 1 indexed citations
9.
Wang, Xianpeng, et al.. (2024). A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization. Swarm and Evolutionary Computation. 91. 101691–101691. 6 indexed citations
10.
Wang, Wei, et al.. (2024). A new parallel cooperative landscape smoothing algorithm and its applications on TSP and UBQP. Expert Systems with Applications. 263. 125611–125611.
11.
Pang, Lie Meng, et al.. (2024). Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. Proceedings of the Genetic and Evolutionary Computation Conference. 511–519. 1 indexed citations
12.
13.
Yi, Jiaxiang, et al.. (2024). Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11489–11497.
14.
Liu, Xiaohan, et al.. (2023). A metaheuristic causal discovery method in directed acyclic graphs space. Knowledge-Based Systems. 276. 110749–110749. 3 indexed citations
15.
Deng, Jingda, Qingfu Zhang, Jianyong Sun, & Hui Li. (2023). A Fast Exact Algorithm for Computing the Hypervolume Contributions in 4-D Space. IEEE Transactions on Evolutionary Computation. 28(4). 876–890. 2 indexed citations
16.
Liu, Hui, Yuheng Jia, Junhui Hou, & Qingfu Zhang. (2021). Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification. IEEE Transactions on Circuits and Systems for Video Technology. 32(4). 2013–2024. 29 indexed citations
17.
Wang, Zhenkun, et al.. (2021). Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Transactions on Cybernetics. 53(1). 483–496. 54 indexed citations
18.
Wang, Zhenkun, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, & Qingfu Zhang. (2018). A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. IEEE Transactions on Evolutionary Computation. 23(4). 556–571. 67 indexed citations
19.
Wang, Zhenkun, Qingfu Zhang, & Hui Li. (2015). Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work. 2849–2854. 11 indexed citations
20.
Jan, Muhammad Asif & Qingfu Zhang. (2010). MOEA/D for constrained multiobjective optimization: Some preliminary experimental results. 1–6. 75 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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