Kangjia Qiao

2.4k total citations · 3 hit papers
52 papers, 1.7k citations indexed

About

Kangjia Qiao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Kangjia Qiao has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 37 papers in Computational Theory and Mathematics and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Kangjia Qiao's work include Advanced Multi-Objective Optimization Algorithms (34 papers), Metaheuristic Optimization Algorithms Research (34 papers) and Evolutionary Algorithms and Applications (28 papers). Kangjia Qiao is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (34 papers), Metaheuristic Optimization Algorithms Research (34 papers) and Evolutionary Algorithms and Applications (28 papers). Kangjia Qiao collaborates with scholars based in China, Qatar and Australia. Kangjia Qiao's co-authors include Jing Liang, Kunjie Yu, Boyang Qu, Caitong Yue, Hui Song, Xuanxuan Ban, Kay Chen Tan, Ke Chen, Hongyu Lin and Shilei Ge and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Expert Systems with Applications.

In The Last Decade

Kangjia Qiao

44 papers receiving 1.6k 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 on Evolutionary Constrained Multiobjective Optimization

2022 242 citations Jing Liang, Xuanxuan Ban et al. IEEE Transactions on Evolutionary Computation profile →
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 →
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						Papers	Cites
Kangjia Qiao China	19	1.2k	996	190	186	177	52	1.7k
Rizk M. Rizk‐Allah Egypt	27	842 0.7×	403 0.4×	163 0.9×	534 2.9×	730 4.1×	88	2.0k
Hamdi Tolga Kahraman Türkiye	23	881 0.8×	457 0.5×	76 0.4×	296 1.6×	698 3.9×	88	1.9k
Mahdi Azizi Iran	21	1.0k 0.9×	596 0.6×	44 0.2×	214 1.2×	250 1.4×	41	1.9k
Mingzhu Tang China	15	609 0.5×	206 0.2×	179 0.9×	284 1.5×	247 1.4×	41	1.1k
Changhe Li China	19	1.3k 1.1×	984 1.0×	19 0.1×	194 1.0×	165 0.9×	67	1.8k
R. Sowmya India	26	1.0k 0.9×	385 0.4×	701 3.7×	309 1.7×	785 4.4×	75	2.0k
Haibin Ouyang China	18	557 0.5×	261 0.3×	61 0.3×	200 1.1×	433 2.4×	89	1.3k
Irfan Younas Pakistan	12	643 0.5×	303 0.3×	37 0.2×	140 0.8×	187 1.1×	38	1.1k
Fangqing Gu China	17	1.4k 1.2×	1.4k 1.4×	22 0.1×	158 0.8×	108 0.6×	70	1.8k
Wei–Jie Yu China	17	999 0.9×	696 0.7×	22 0.1×	133 0.7×	169 1.0×	52	1.5k

Countries citing papers authored by Kangjia Qiao

Since Specialization

Citations

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

Fields of papers citing papers by Kangjia Qiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangjia Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Kangjia Qiao. A scholar is included among the top collaborators of Kangjia Qiao 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 Kangjia Qiao. Kangjia Qiao 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

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.

Yao, Xiangjuan, et al.. (2025). An Indicator-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 30(1). 271–285. 3 indexed citations

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.

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

Yao, Xiangjuan, et al.. (2025). A dynamic granularity-based multi-objective evolutionary algorithm for coal mine integrated energy system dispatch optimization. Expert Systems with Applications. 296. 129142–129142.

Ban, Xuanxuan, Jing Liang, Kunjie Yu, et al.. (2025). A Subspace Search-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization and Application. IEEE Transactions on Cybernetics. 55(5). 2486–2499.

Zhou, Xinyu, Fan Long, Kunjie Yu, & Kangjia Qiao. (2025). A constrained multi-objective evolutionary algorithm based on online problem identification and separate handling. Swarm and Evolutionary Computation. 97. 102017–102017.

Yao, Xiangjuan, et al.. (2024). A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(5). 3474–3488. 15 indexed citations

Qiao, Kangjia, et al.. (2024). Constrained Multi-objective Optimization-Based Temporal Network Observability for Biomarker Identification of Individual Patients. IEEE Journal of Biomedical and Health Informatics. PP. 1–12. 8 indexed citations

10.

Chen, Peng, Jing Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, & Xuanxuan Ban. (2024). A Two-Stage Evolutionary Framework for Multi-Objective Optimization. Qatar University QSpace (Qatar University). 1–7. 1 indexed citations

11.

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

12.

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

13.

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

14.

Liang, Jing, et al.. (2023). Multiobjective Optimization-Based Network Control Principles for Identifying Personalized Drug Targets With Cancer. IEEE Transactions on Evolutionary Computation. 28(5). 1322–1335. 8 indexed citations

15.

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

16.

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

17.

Li, Yaxin, Kunjie Yu, Jing Liang, Caitong Yue, & Kangjia Qiao. (2022). A landscape-aware particle swarm optimization for parameter identification of photovoltaic models. Applied Soft Computing. 131. 109793–109793. 31 indexed citations

18.

Liang, Jing, Hao Guo, Kunjie Yu, et al.. (2021). An Improved Composite Differential Evolutionary Algorithm with Self-adaptive Mutation Strategy for Identifying Photovoltaic Model Parameters. 591–599. 2 indexed citations

19.

Hu, Yi, Boyang Qu, Jie Wang, et al.. (2021). Short-term load forecasting using multimodal evolutionary algorithm and random vector functional link network based ensemble learning. Applied Energy. 285. 116415–116415. 47 indexed citations

20.

Qiao, Kangjia, et al.. (2020). Parameter extraction of the photovoltaic model via an improved composite differential evolution. 4868–4873. 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