Miqing Li

7.6k total citations · 7 hit papers
105 papers, 5.5k citations indexed

About

Miqing Li is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Miqing Li has authored 105 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 70 papers in Computational Theory and Mathematics and 17 papers in Information Systems. Recurrent topics in Miqing Li's work include Advanced Multi-Objective Optimization Algorithms (70 papers), Metaheuristic Optimization Algorithms Research (53 papers) and Evolutionary Algorithms and Applications (34 papers). Miqing Li is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (70 papers), Metaheuristic Optimization Algorithms Research (53 papers) and Evolutionary Algorithms and Applications (34 papers). Miqing Li collaborates with scholars based in United Kingdom, China and United States. Miqing Li's co-authors include Xiaohui Liu, Shengxiang Yang, Xin Yao, Jinhua Zheng, Ke Li, Ran Cheng, Yi Xiang, Yuren Zhou, Zefeng Chen and Yaochu Jin and has published in prestigious journals such as European Journal of Operational Research, ACM Computing Surveys and Information Sciences.

In The Last Decade

Miqing Li

101 papers receiving 5.4k citations

Hit Papers

A Grid-Based Evolutionary... 2013 2026 2017 2021 2013 2013 2017 2016 2015 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Miqing Li 3.8k 3.6k 977 771 553 105 5.5k
Antonio J. Nebro 2.0k 0.5× 2.0k 0.6× 356 0.4× 590 0.8× 450 0.8× 82 4.1k
Ke Li 2.9k 0.8× 3.2k 0.9× 669 0.7× 313 0.4× 259 0.5× 230 5.0k
Yuren Zhou 1.5k 0.4× 2.3k 0.6× 319 0.3× 646 0.8× 263 0.5× 123 3.9k
Viviane Grunert da Fonseca 2.0k 0.5× 1.6k 0.4× 441 0.5× 195 0.3× 525 0.9× 5 3.1k
Juan J. Durillo 1.5k 0.4× 1.5k 0.4× 258 0.3× 943 1.2× 274 0.5× 44 3.2k
Daryl Essam 1.3k 0.4× 2.3k 0.6× 485 0.5× 237 0.3× 1.1k 2.0× 197 4.8k
Johannes Bader 1.8k 0.5× 1.6k 0.5× 424 0.4× 209 0.3× 171 0.3× 12 2.5k
Ender Özcan 964 0.3× 2.1k 0.6× 1.4k 1.5× 210 0.3× 1.9k 3.4× 167 4.7k
Edward Tsang 1.2k 0.3× 1.9k 0.5× 975 1.0× 155 0.2× 838 1.5× 149 3.7k

Countries citing papers authored by Miqing Li

Since Specialization
Citations

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

Fields of papers citing papers by Miqing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miqing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Miqing Li. A scholar is included among the top collaborators of Miqing Li 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 Miqing Li. Miqing Li 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.
Li, Miqing, et al.. (2025). How Do Dynamic Events Change the Fitness Landscape of Traveling Salesman Problems?. IEEE Transactions on Evolutionary Computation. 29(5). 1463–1474.
2.
Jiang, Chao & Miqing Li. (2025). Multi-Objectivising Acquisition Functions in Bayesian Optimisation. University of Birmingham Research Portal (University of Birmingham). 5(2). 1–33. 1 indexed citations
3.
Bian, Chao, Shi‐Bin Ren, Miqing Li, & Chao Qian. (2025). An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 13–14. 1 indexed citations
4.
Bian, Chao, et al.. (2025). Stochastic population update can provably be helpful in multi-objective evolutionary algorithms. Artificial Intelligence. 341. 104308–104308. 2 indexed citations
5.
Zhang, Maorui, et al.. (2024). Improving decomposition-based MOEAs for combinatorial optimisation by intensifying corner weights. Swarm and Evolutionary Computation. 91. 101722–101722. 3 indexed citations
6.
Chen, Tao & Miqing Li. (2024). Adapting Multi-objectivized Software Configuration Tuning. Proceedings of the ACM on software engineering.. 1(FSE). 539–561. 11 indexed citations
7.
Li, Miqing, Hamid Arabnejad, Diana Suleimenova, et al.. (2024). Many-Objective Simulation Optimization for Camp Location Problems in Humanitarian Logistics. Brunel University Research Archive (BURA) (Brunel University London). 100017–100017. 10 indexed citations
8.
Wang, Lingfeng, Jelena Ninić, James Andrews, et al.. (2024). Multi-Objective Optimization for Flexible Building Space Usage. University of Birmingham Research Portal (University of Birmingham). 932–939. 1 indexed citations
10.
Li, Miqing, et al.. (2024). Empirical Comparison between MOEAs and Local Search on Multi-Objective Combinatorial Optimisation Problems. Proceedings of the Genetic and Evolutionary Computation Conference. 547–556. 3 indexed citations
11.
Bian, Chao, et al.. (2023). Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. University of Birmingham Research Portal (University of Birmingham). 5513–5521. 22 indexed citations
12.
Xiang, Yi, Han Huang, Si‐Zhe Li, et al.. (2023). Automated Test Suite Generation for Software Product Lines Based on Quality-Diversity Optimization. ACM Transactions on Software Engineering and Methodology. 33(2). 1–52. 5 indexed citations
13.
Zhang, Guofu, et al.. (2022). New Reliability-Driven Bounds for Architecture-Based Multi-Objective Testing Resource Allocation. IEEE Transactions on Software Engineering. 49(4). 2513–2529.
14.
Su, Zhaopin, Mengke Li, Guofu Zhang, et al.. (2022). Robust Audio Copy-Move Forgery Detection Using Constant Q Spectral Sketches and GA-SVM. IEEE Transactions on Dependable and Secure Computing. 20(5). 4016–4031. 14 indexed citations
15.
Gu, Xiaowei, et al.. (2022). Multiobjective Evolutionary Optimization for Prototype-Based Fuzzy Classifiers. IEEE Transactions on Fuzzy Systems. 31(5). 1703–1715. 4 indexed citations
16.
Su, Zhaopin, Guofu Zhang, Feng Yue, et al.. (2021). Enhanced Constraint Handling for Reliability-Constrained Multiobjective Testing Resource Allocation. IEEE Transactions on Evolutionary Computation. 25(3). 537–551. 39 indexed citations
17.
Wang, Zhehui, Tao Luo, Miqing Li, et al.. (2021). Evolutionary Multi-Objective Model Compression for Deep Neural Networks. IEEE Computational Intelligence Magazine. 16(3). 10–21. 12 indexed citations
18.
Li, Miqing & Xin Yao. (2019). Quality Evaluation of Solution Sets in Multiobjective Optimisation. ACM Computing Surveys. 52(2). 1–38. 229 indexed citations breakdown →
19.
Cheng, Ran, Miqing Li, Ye Tian, et al.. (2017). Benchmark Functions for the CEC'2017 Competition on Many-Objective Optimization. DMU Open Research Archive (De Montfort University). 26 indexed citations
20.
Li, Miqing. (2009). Comparison and research of mutation operators in multi-objective evolu-tionary algorithms. Computer Engineering and Applications Journal. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026