Changhe Li

2.5k total citations · 1 hit paper
67 papers, 1.8k citations indexed

About

Changhe Li is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Changhe Li has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 44 papers in Computational Theory and Mathematics and 6 papers in Control and Systems Engineering. Recurrent topics in Changhe Li's work include Metaheuristic Optimization Algorithms Research (46 papers), Advanced Multi-Objective Optimization Algorithms (44 papers) and Evolutionary Algorithms and Applications (30 papers). Changhe Li is often cited by papers focused on Metaheuristic Optimization Algorithms Research (46 papers), Advanced Multi-Objective Optimization Algorithms (44 papers) and Evolutionary Algorithms and Applications (30 papers). Changhe Li collaborates with scholars based in China, United Kingdom and Cyprus. Changhe Li's co-authors include Shengxiang Yang, Michalis Mavrovouniotis, Sanyou Zeng, Ming Yang, Ruwang Jiao, Zhihua Cai, Jing Guan, Yew-Soon Ong, Yong Liu and Hui Wang and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Changhe Li

62 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

A survey of swarm intelligence for dynamic optimization: Algorithms and applications

2017 441 citations Michalis Mavrovouniotis, Changhe Li et al. Swarm and Evolutionary Computation profile →

Peers

Changhe Li

CTM

CSE

EEE

IME

Jianyong Chen China

Chaoli Sun China

Sanyou Zeng China

Zhijian Wu China

Qie He United States

Ryoji Tanabe Japan

Dunwei Gong China

Yutao Qi China

Hoda Zamani Iran

Kangjia Qiao China

Jianyong Chen China

Changhe Li

1.2k ×0.9

930 ×0.9

CTM

170 ×0.9

CSE

120 ×0.7

EEE

150 ×1.0

IME

Citations per year, relative to Changhe Li Changhe Li (= 1×) peers Jianyong Chen

Countries citing papers authored by Changhe Li

Since Specialization

Citations

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

Fields of papers citing papers by Changhe Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changhe Li

This figure shows the co-authorship network connecting the top 25 collaborators of Changhe Li. A scholar is included among the top collaborators of Changhe 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 Changhe Li. Changhe Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Changhe, et al.. (2024). Learning to search promising regions by space partitioning for evolutionary methods. Swarm and Evolutionary Computation. 91. 101726–101726. 3 indexed citations

Zeng, Sanyou, et al.. (2024). A survey of machine learning and evolutionary computation for antenna modeling and optimization: Methods and challenges. Engineering Applications of Artificial Intelligence. 138. 109381–109381. 3 indexed citations

Li, Changhe, et al.. (2024). Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3333–3341. 2 indexed citations

Li, Changhe, et al.. (2024). Nearest-Better Network for Fitness Landscape Analysis of Continuous Optimization Problems. IEEE Transactions on Evolutionary Computation. 29(5). 2089–2103. 1 indexed citations

Zeng, Sanyou, et al.. (2023). A framework of global exploration and local exploitation using surrogates for expensive optimization. Knowledge-Based Systems. 280. 111018–111018. 5 indexed citations

Zeng, Sanyou, et al.. (2023). Scalable GP with hyperparameters sharing based on transfer learning for solving expensive optimization problems. Applied Soft Computing. 148. 110866–110866. 5 indexed citations

Li, Changhe, et al.. (2023). Risk of Heavy Metal Contamination in Vegetables Fertilized with Mushroom Residues and Swine Manure. Sustainability. 15(14). 10984–10984. 2 indexed citations

Li, Changhe, et al.. (2023). Nearest better network for visualization of the fitness landscape. DMU Open Research Archive (De Montfort University). 815–818. 2 indexed citations

Zeng, Sanyou, et al.. (2022). An Uncertainty Measure for Prediction of Non-Gaussian Process Surrogates. Evolutionary Computation. 31(1). 53–71. 2 indexed citations

10.

Li, Changhe, et al.. (2021). A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. 1938–1945. 7 indexed citations

11.

Jiao, Ruwang, Sanyou Zeng, Changhe Li, & Yew-Soon Ong. (2021). Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. Information Sciences. 578. 592–614. 52 indexed citations

12.

Jiao, Ruwang, Sanyou Zeng, Changhe Li, Shengxiang Yang, & Yew-Soon Ong. (2020). Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Transactions on Cybernetics. 51(10). 4834–4847. 116 indexed citations

13.

Mavrovouniotis, Michalis, Shengxiang Yang, Mien Van, Changhe Li, & Marios M. Polycarpou. (2020). Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]. IEEE Computational Intelligence Magazine. 15(1). 52–63. 40 indexed citations

14.

Jiao, Ruwang, Sanyou Zeng, Changhe Li, & Yuhong Jiang. (2018). Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 213–214. 4 indexed citations

15.

Mavrovouniotis, Michalis, Changhe Li, & Shengxiang Yang. (2017). A survey of swarm intelligence for dynamic optimization: Algorithms and applications. Swarm and Evolutionary Computation. 33. 1–17. 441 indexed citations breakdown →

16.

Li, Changhe, Trung Thành Nguyễn, Ming Yang, Michalis Mavrovouniotis, & Shengxiang Yang. (2015). An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima. IEEE Transactions on Evolutionary Computation. 20(4). 590–605. 72 indexed citations

17.

Zhang, Qing, Sanyou Zeng, & Changhe Li. (2014). Dynamic and random differential evolution solving constrained optimisation problems. International Journal of Computing Science and Mathematics. 5(2). 137–137. 2 indexed citations

18.

Yang, Ming, Changhe Li, Zhihua Cai, & Jing Guan. (2014). Differential Evolution With Auto-Enhanced Population Diversity. IEEE Transactions on Cybernetics. 45(2). 302–315. 188 indexed citations

19.

Kang, Zhuo, et al.. (2008). Convergence properties of E-optimality algorithms for Many objective Optimization Problems. 472–477. 2 indexed citations

20.

Li, Changhe. (2005). Novel adaptive information hiding algorithm for image. Jisuanji gongcheng. 1 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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