Lingyun Deng

792 total citations · 1 hit paper
13 papers, 442 citations indexed

About

Lingyun Deng is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Lingyun Deng has authored 13 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 2 papers in Molecular Biology. Recurrent topics in Lingyun Deng's work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Lingyun Deng is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Lingyun Deng collaborates with scholars based in China. Lingyun Deng's co-authors include Sanyang Liu and Sanyang Liu and has published in prestigious journals such as Expert Systems with Applications, Computer Methods in Applied Mechanics and Engineering and Applied Soft Computing.

In The Last Decade

Lingyun Deng

12 papers receiving 431 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.

Snow ablation optimizer: A novel metaheuristic technique for numerical optimization and engineering design

2023 215 citations Lingyun Deng, Sanyang Liu Expert Systems with Applications profile →

Peers

Lingyun Deng

AI

CTM

CSE

CVPR

EEE

Changsheng Wen China

Hardi M. Mohammed Iraq

Ratul Chakraborty India

Jingyu Zhong China

Junbo Jacob Lian China

Lingjie Li China

Andi Tang China

Jun Yu Japan

Binping Zhao China

Changsheng Wen China

Lingyun Deng

355 ×1.3

AI

182 ×1.2

CTM

82 ×1.2

CSE

90 ×1.5

CVPR

74 ×1.4

EEE

Citations per year, relative to Lingyun Deng Lingyun Deng (= 1×) peers Changsheng Wen

Countries citing papers authored by Lingyun Deng

Since Specialization

Citations

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

Fields of papers citing papers by Lingyun Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyun Deng

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

All Works

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13 of 13 papers shown

1.

Deng, Lingyun, et al.. (2026). MLS-JAYA: A multi-learning JAYA algorithm for numerical optimization and efficient engineering design. Cluster Computing. 29(2).

2.

Deng, Lingyun & Sanyang Liu. (2025). Collective dynamics of particle swarm optimization: A network science perspective. Physica A Statistical Mechanics and its Applications. 675. 130778–130778. 2 indexed citations

3.

Deng, Lingyun & Sanyang Liu. (2025). Unlocking New Potentials in Evolutionary Computation with Complex Network Insights: A Brief Survey. Archives of Computational Methods in Engineering. 33(1). 223–237. 1 indexed citations

4.

Deng, Lingyun & Sanyang Liu. (2024). Metaheuristics exposed: Unmasking the design pitfalls of arithmetic optimization algorithm in benchmarking. Applied Soft Computing. 160. 111696–111696. 22 indexed citations

5.

Deng, Lingyun & Sanyang Liu. (2024). Advancing photovoltaic system design: An enhanced social learning swarm optimizer with guaranteed stability. Computers in Industry. 164. 104209–104209. 13 indexed citations

6.

Deng, Lingyun & Sanyang Liu. (2024). A sine cosine algorithm guided by elite pool strategy for global optimization. Applied Soft Computing. 164. 111946–111946. 14 indexed citations

7.

Deng, Lingyun & Sanyang Liu. (2024). Exposing the chimp optimization algorithm: A misleading metaheuristic technique with structural bias. Applied Soft Computing. 158. 111574–111574. 23 indexed citations

8.

Deng, Lingyun & Sanyang Liu. (2023). Snow ablation optimizer: A novel metaheuristic technique for numerical optimization and engineering design. Expert Systems with Applications. 225. 120069–120069. 215 indexed citations breakdown →

9.

Deng, Lingyun & Sanyang Liu. (2023). A Novel Hybrid Grasshopper Optimization Algorithm for Numerical and Engineering Optimization Problems. Neural Processing Letters. 55(7). 9851–9905. 14 indexed citations

10.

Deng, Lingyun & Sanyang Liu. (2023). Deficiencies of the whale optimization algorithm and its validation method. Expert Systems with Applications. 237. 121544–121544. 47 indexed citations

11.

Deng, Lingyun & Sanyang Liu. (2023). An enhanced slime mould algorithm based on adaptive grouping technique for global optimization. Expert Systems with Applications. 222. 119877–119877. 24 indexed citations

12.

Deng, Lingyun & Sanyang Liu. (2023). Incorporating Q-learning and gradient search scheme into JAYA algorithm for global optimization. Artificial Intelligence Review. 56(S3). 3705–3748. 20 indexed citations

13.

Deng, Lingyun & Sanyang Liu. (2022). A multi-strategy improved slime mould algorithm for global optimization and engineering design problems. Computer Methods in Applied Mechanics and Engineering. 404. 115764–115764. 47 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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