Kunjie Yu

6.8k total citations · 5 hit papers
109 papers, 5.2k citations indexed

About

Kunjie Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Kunjie Yu has authored 109 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Artificial Intelligence, 68 papers in Computational Theory and Mathematics and 19 papers in Control and Systems Engineering. Recurrent topics in Kunjie Yu's work include Metaheuristic Optimization Algorithms Research (78 papers), Advanced Multi-Objective Optimization Algorithms (66 papers) and Evolutionary Algorithms and Applications (46 papers). Kunjie Yu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (78 papers), Advanced Multi-Objective Optimization Algorithms (66 papers) and Evolutionary Algorithms and Applications (46 papers). Kunjie Yu collaborates with scholars based in China, Australia and Qatar. Kunjie Yu's co-authors include Jing Liang, Boyang Qu, Xu Chen, Caitong Yue, Kangjia Qiao, Zhenlei Wang, Shilei Ge, Heshan Wang, Hui Song and Wenli Du and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.

In The Last Decade

Kunjie Yu

97 papers receiving 5.1k citations

Hit Papers

Parameters identification of photovoltaic models using an... 2017 2026 2020 2023 2017 2019 2022 2022 2022 100 200 300 400
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. Parameters identification of photovoltaic models using an improved JAYA optimization algorithm
    2017 467 citations Kunjie Yu, Jing Liang et al. profile →
  2. A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module
    2019 377 citations Kunjie Yu, Boyang Qu et al. profile →
  3. A Survey on Evolutionary Constrained Multiobjective Optimization
    2022 242 citations Jing Liang, Xuanxuan Ban et al. IEEE Transactions on Evolutionary Computation profile →
  4. An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems
    2022 177 citations Kangjia Qiao, Kunjie Yu et al. IEEE Transactions on Evolutionary Computation profile →
  5. Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization
    2022 143 citations Kangjia Qiao, Kunjie Yu et al. IEEE Transactions on Evolutionary Computation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunjie Yu China 38 3.9k 2.2k 1.7k 810 550 109 5.2k
Wenyin Gong China 49 4.3k 1.1× 2.5k 1.2× 1.3k 0.8× 1.2k 1.5× 800 1.5× 203 7.2k
Pradeep Jangir India 37 1.9k 0.5× 1.2k 0.6× 563 0.3× 1.7k 2.1× 833 1.5× 182 4.5k
Caitong Yue China 28 2.6k 0.7× 2.3k 1.0× 347 0.2× 304 0.4× 411 0.7× 99 3.5k
Ali Wagdy Mohamed Egypt 31 2.8k 0.7× 1.4k 0.7× 275 0.2× 689 0.9× 451 0.8× 193 4.4k
Alireza Askarzadeh Iran 39 2.3k 0.6× 576 0.3× 1.9k 1.1× 3.5k 4.3× 1.6k 2.9× 82 6.8k
Reda Mohamed Egypt 29 1.7k 0.4× 559 0.3× 440 0.3× 697 0.9× 387 0.7× 82 3.4k
Abdelazim G. Hussien Egypt 32 2.2k 0.6× 1.0k 0.5× 198 0.1× 693 0.9× 549 1.0× 112 3.8k
Tao Zhang China 33 1.4k 0.4× 1.3k 0.6× 190 0.1× 1.8k 2.2× 1.0k 1.9× 240 4.2k
Zhile Yang China 39 1.1k 0.3× 406 0.2× 376 0.2× 2.6k 3.3× 878 1.6× 185 4.9k
Kashif Hussain China 20 2.1k 0.5× 870 0.4× 118 0.1× 684 0.8× 490 0.9× 34 3.7k

Countries citing papers authored by Kunjie Yu

Since Specialization
Citations

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

Fields of papers citing papers by Kunjie Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunjie Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kunjie Yu. A scholar is included among the top collaborators of Kunjie 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 Kunjie Yu. Kunjie Yu 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.
Qiao, Kangjia, et al.. (2026). An adaptive multi-objective task splitting algorithm for agricultural multi-robot task allocation. IEEE Transactions on Evolutionary Computation. 1–1.
2.
Yue, Caitong, et al.. (2025). A multimodal multiobjective evolutionary algorithm based on neighborhood and enhanced special crowding distance. Knowledge-Based Systems. 315. 113340–113340. 1 indexed citations
3.
Wang, Lingjun, et al.. (2025). A multi-population evolutionary algorithm based on constraint grouping for constrained multiobjective optimization problems. Expert Systems with Applications. 295. 128830–128830.
4.
Li, Yan, Yi Wu, Yaxin Li, et al.. (2025). Dual-population collaborative prediction with reinforcement learning adjusting for dynamic multi-objective optimization. Swarm and Evolutionary Computation. 96. 101981–101981.
5.
Yu, Kunjie, Xuyang Zhang, Jing Liang, et al.. (2025). Historical Information-Assisted Dynamic Response Integration and Adaptive Niche Methods for Dynamic Multimodal Optimization. IEEE Transactions on Evolutionary Computation. 29(5). 1475–1489. 2 indexed citations
6.
Zhang, Kai, Kunjie Yu, Jing Liang, et al.. (2025). Dynamic Constrained Multiobjective Evolutionary Algorithm With Multipopulation Prediction and Dynamic Fusion Ranking. IEEE Transactions on Evolutionary Computation. 1–1. 1 indexed citations
7.
Li, Yan, et al.. (2025). A subspace strategy based coevolutionary framework for constrained multimodal multiobjective optimization problems. Swarm and Evolutionary Computation. 95. 101941–101941. 1 indexed citations
8.
Yu, Kunjie, Lianfeng Duan, Jing Liang, et al.. (2025). A cooperation and competition-based tri-population evolutionary algorithm for constrained multi-objective optimization. Applied Soft Computing. 183. 113658–113658.
9.
Chen, Peng, Zhimeng Li, Kangjia Qiao, et al.. (2024). An archive-assisted multi-modal multi-objective evolutionary algorithm. Swarm and Evolutionary Computation. 91. 101738–101738. 4 indexed citations
10.
Yu, Kunjie, Jing Liang, Kangjia Qiao, et al.. (2024). History-Assisted Two-State Auxiliary Task Collaboration Approach for Dynamic Constrained Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 29(6). 2386–2400. 11 indexed citations
11.
Liang, Jing, Ying Bi, Han Cheng, et al.. (2024). A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease. IEEE Transactions on Evolutionary Computation. 29(4). 1400–1418. 1 indexed citations
12.
Liang, Jing, Hongyu Lin, Caitong Yue, Xuanxuan Ban, & Kunjie Yu. (2024). Evolutionary constrained multi-objective optimization: a review. 1(1). 8 indexed citations
13.
Yu, Kunjie, et al.. (2024). An Opposition-Based Learning Adaptive Chaotic Particle Swarm Optimization Algorithm. Journal of Bionic Engineering. 21(6). 3076–3097. 9 indexed citations
14.
Qiao, Kangjia, Zhaolin Chen, Boyang Qu, et al.. (2023). A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems. Expert Systems with Applications. 238. 121707–121707. 21 indexed citations
15.
Li, Yan, et al.. (2023). ASMEvoNAS: Adaptive segmented multi-objective evolutionary network architecture search. Applied Soft Computing. 146. 110639–110639. 9 indexed citations
16.
Yu, Kunjie, Jing Liang, Boyang Qu, et al.. (2023). A Framework Based on Historical Evolution Learning for Dynamic Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 28(4). 1127–1140. 26 indexed citations
17.
Qiao, Kangjia, Jing Liang, Kunjie Yu, et al.. (2023). Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm. IEEE Transactions on Evolutionary Computation. 28(4). 965–979. 50 indexed citations
18.
Yu, Kunjie, Jing Liang, Ke Chen, et al.. (2023). A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification. Information Sciences. 648. 119619–119619. 15 indexed citations
19.
Liang, Jing, et al.. (2022). An improved Kalman particle swarm optimization for modeling and optimizing of boiler combustion characteristics. Robotica. 41(4). 1087–1097. 7 indexed citations
20.
Yu, Kunjie, Jing Liang, Ke Chen, et al.. (2022). A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 27(5). 1398–1412. 62 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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