Jun Yu

687 total citations
71 papers, 357 citations indexed

About

Jun Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun Yu has authored 71 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 20 papers in Computational Theory and Mathematics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jun Yu's work include Metaheuristic Optimization Algorithms Research (40 papers), Evolutionary Algorithms and Applications (28 papers) and Advanced Multi-Objective Optimization Algorithms (19 papers). Jun Yu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (40 papers), Evolutionary Algorithms and Applications (28 papers) and Advanced Multi-Objective Optimization Algorithms (19 papers). Jun Yu collaborates with scholars based in Japan, China and Egypt. Jun Yu's co-authors include Rui Zhong, Hideyuki Takagi, Masaharu Munetomo, Chao Zhang, Chengqi Zhang, Yan Pei, Fei Peng, Ying Tan, Qinqin Fan and Essam H. Houssein and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Energy.

In The Last Decade

Jun Yu

57 papers receiving 348 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jun Yu Japan	10	234	96	48	38	36	71	357
Yintong Li China	11	330 1.4×	149 1.6×	43 0.9×	33 0.9×	34 0.9×	19	426
Ratul Chakraborty India	5	244 1.0×	132 1.4×	56 1.2×	20 0.5×	56 1.6×	5	399
Yaning Xiao China	8	182 0.8×	88 0.9×	56 1.2×	31 0.8×	45 1.3×	11	303
Yinglong Zhang China	7	297 1.3×	168 1.8×	45 0.9×	18 0.5×	63 1.8×	17	408
Lingyun Deng China	10	271 1.2×	146 1.5×	62 1.3×	33 0.9×	69 1.9×	13	442
Longquan Yong China	11	151 0.6×	100 1.0×	35 0.7×	19 0.5×	26 0.7×	51	330
Ruo-Bin Wang China	6	114 0.5×	55 0.6×	32 0.7×	17 0.4×	21 0.6×	7	237
Yi Fan China	7	253 1.1×	70 0.7×	101 2.1×	15 0.4×	21 0.6×	14	430
Maolong Xi China	9	192 0.8×	61 0.6×	34 0.7×	12 0.3×	78 2.2×	17	383
Shangqin Tang China	9	218 0.9×	80 0.8×	61 1.3×	131 3.4×	31 0.9×	19	374

Countries citing papers authored by Jun Yu

Since Specialization

Citations

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

Fields of papers citing papers by Jun Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ding, Yulong, et al.. (2025). Learning to Discriminate While Contrasting: Combating False Negative Pairs With Coupled Contrastive Learning for Incomplete Multi-View Clustering. IEEE Transactions on Knowledge and Data Engineering. 37(10). 6046–6060.

Zhong, Rui, Abdelazim G. Hussien, Essam H. Houssein, & Jun Yu. (2025). Enhanced crested ibis algorithm: Performance validation in benchmark functions, engineering problems, and application in brain tumor detection. Expert Systems with Applications. 289. 128231–128231. 1 indexed citations

Zhong, Rui, et al.. (2025). Integrating Competitive Framework into Differential Evolution: Comprehensive performance analysis and application in brain tumor detection. Applied Soft Computing. 174. 112995–112995. 5 indexed citations

Yu, Jun, et al.. (2025). DDNet: Deformable Convolution and Dense FPN for Surface Defect Detection in Recycled Books. 1–5.

Yu, Jun, et al.. (2025). Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm. Scientific Reports. 15(1). 2565–2565. 1 indexed citations

Li, Yuefeng, et al.. (2025). Uniaxial compressive strength of concrete inversion using machine learning and computational intelligence approach. Results in Engineering. 26. 105627–105627. 2 indexed citations

Zhang, Zihang, Rui Zhong, Jun Yu, et al.. (2025). Under complex wind scenarios: Considering large-scale wind turbines in wind farm layout optimization via self-adaptive optimal fractional-order guided differential evolution. Energy. 323. 135866–135866. 5 indexed citations

Zhong, Rui, Abdelazim G. Hussien, Jun Yu, & Masaharu Munetomo. (2025). LLMOA: A novel large language model assisted hyper-heuristic optimization algorithm. Advanced Engineering Informatics. 64. 103042–103042. 2 indexed citations

Zhong, Rui, et al.. (2025). Space mission trajectory optimization via competitive differential evolution with independent success history adaptation. Applied Soft Computing. 171. 112777–112777. 5 indexed citations

10.

Yu, Jun, et al.. (2024). Tactile Paving Detection and Tracking Using Tenji10K Dataset. IEEJ Transactions on Electrical and Electronic Engineering. 19(10). 1661–1672.

11.

Zhong, Rui, et al.. (2024). Leveraging large language model to generate a novel metaheuristic algorithm with CRISPE framework. Cluster Computing. 27(10). 13835–13869. 11 indexed citations

12.

Yu, Jun, et al.. (2024). An Unmanned System-Guided Crowd Evacuation Method in Complex and Large-Scale Evacuation Environments. IEEE Transactions on Automation Science and Engineering. 22. 1864–1877. 2 indexed citations

13.

Yu, Jun, et al.. (2024). A multi-in and multi-out dendritic neuron model and its optimization. Knowledge-Based Systems. 286. 111442–111442. 5 indexed citations

14.

Zhong, Rui, Jun Yu, Chengqi Zhang, & Masaharu Munetomo. (2024). SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems. Neural Computing and Applications. 36(12). 6721–6740. 42 indexed citations

15.

Zhong, Rui, et al.. (2024). Efficient multiplayer battle game optimizer for numerical optimization and adversarial robust neural architecture search. Alexandria Engineering Journal. 113. 150–168. 3 indexed citations

16.

Zhong, Rui & Jun Yu. (2024). Gene-targeting multiplayer battle game optimizer for large-scale global optimization via cooperative coevolution. Cluster Computing. 27(9). 12483–12508. 2 indexed citations

17.

Zhong, Rui, et al.. (2024). Large Language Model Assisted Adversarial Robustness Neural Architecture Search. 433–437. 2 indexed citations

18.

Yao, Yu, Shaoli Huang, Zhiyong Wang, et al.. (2023). ProtoSimi: label correction for fine-grained visual categorization. Machine Learning. 113(4). 1903–1920. 3 indexed citations

19.

Yu, Jun, et al.. (2023). Learning disentangled representations for controllable human motion prediction. Pattern Recognition. 146. 109998–109998. 5 indexed citations

20.

Zhong, Rui, et al.. (2023). Vegetation Evolution with Dynamic Maturity Strategy and Diverse Mutation Strategy for Solving Optimization Problems. Biomimetics. 8(6). 454–454. 9 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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