Junwei Ou

793 total citations
30 papers, 537 citations indexed

About

Junwei Ou is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Junwei Ou has authored 30 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 15 papers in Artificial Intelligence and 7 papers in Aerospace Engineering. Recurrent topics in Junwei Ou's work include Advanced Multi-Objective Optimization Algorithms (16 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Satellite Communication Systems (7 papers). Junwei Ou is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (16 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Satellite Communication Systems (7 papers). Junwei Ou collaborates with scholars based in China, United Kingdom and Qatar. Junwei Ou's co-authors include Juan Zou, Yaru Hu, Jinhua Zheng, Shengxiang Yang, Yanjie Song, Lining Xing, Jian Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan and Yingwu Chen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Junwei Ou

25 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junwei Ou China 14 232 214 141 115 67 30 537
Sajjad Nematzadeh Türkiye 11 163 0.7× 58 0.3× 42 0.3× 111 1.0× 50 0.7× 22 469
Shubin Cai China 11 107 0.5× 69 0.3× 19 0.1× 72 0.6× 149 2.2× 25 416
Zhiyi Lin China 9 200 0.9× 112 0.5× 11 0.1× 18 0.2× 130 1.9× 39 494
A. Narayanan United Kingdom 5 353 1.5× 63 0.3× 23 0.2× 74 0.6× 56 0.8× 10 533
Jian Guan China 11 96 0.4× 40 0.2× 103 0.7× 32 0.3× 14 0.2× 35 427
Jiansheng Guo China 10 57 0.2× 26 0.1× 33 0.2× 21 0.2× 52 0.8× 35 319
Chiwen Qu China 11 230 1.0× 89 0.4× 10 0.1× 38 0.3× 21 0.3× 29 421
Frank Zimmer Luxembourg 14 225 1.0× 12 0.1× 131 0.9× 136 1.2× 23 0.3× 22 735
M.H. Lim Singapore 9 228 1.0× 39 0.2× 19 0.1× 35 0.3× 18 0.3× 26 374
Ben Smith United States 13 310 1.3× 65 0.3× 49 0.3× 322 2.8× 9 0.1× 31 583

Countries citing papers authored by Junwei Ou

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junwei Ou

This figure shows the co-authorship network connecting the top 25 collaborators of Junwei Ou. A scholar is included among the top collaborators of Junwei Ou 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 Junwei Ou. Junwei Ou 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.
Hu, Yaru, et al.. (2025). Dynamic multi-objective evolutionary algorithm based on dual-layer collaborative prediction under multiple perspective. Swarm and Evolutionary Computation. 94. 101876–101876.
2.
Hu, Yaru, et al.. (2025). Adaptive prediction strategy based on inflection point partitioning and local environment type detection. Computers & Electrical Engineering. 130. 110823–110823.
3.
Liu, Hao, et al.. (2025). A strategy cooperative algorithm based on state-awareness for large-scale multi-objective optimization. Swarm and Evolutionary Computation. 99. 102165–102165.
4.
Hu, Yaru, Zhi Zheng, Junwei Ou, et al.. (2025). A Learning Algorithm Based on Similarity Identification and Knowledge Transfer for Dynamic Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation. 1–1. 1 indexed citations
5.
Hu, Yaru, et al.. (2025). An adaptive response algorithm based on dual-space detection for dynamic multiobjective optimization. Swarm and Evolutionary Computation. 98. 102092–102092.
6.
Hu, Yaru, et al.. (2024). Dynamic multiobjective optimization via an improved r-dominance relation and a novel prediction approach. Expert Systems with Applications. 263. 125765–125765.
7.
Hu, Yaru, Junwei Ou, Yana Li, et al.. (2024). The IGD-based prediction strategy for dynamic multi-objective optimization. Swarm and Evolutionary Computation. 91. 101713–101713. 5 indexed citations
8.
Song, Yanjie, Junwei Ou, Witold Pedrycz, et al.. (2024). Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling. IEEE Transactions on Systems Man and Cybernetics Systems. 54(4). 2576–2589. 35 indexed citations
9.
Hu, Yaru, Junwei Ou, Ponnuthurai Nagaratnam Suganthan, et al.. (2024). Dynamic Multiobjective Optimization Algorithm Guided by Recurrent Neural Network. IEEE Transactions on Evolutionary Computation. 29(5). 1820–1833. 11 indexed citations
10.
Ou, Junwei, Xiaolu Liu, Lining Xing, et al.. (2024). Solving many-objective delivery and pickup vehicle routing problem with time windows with a constrained evolutionary optimization algorithm. Expert Systems with Applications. 255. 124712–124712. 3 indexed citations
11.
Song, Yanjie, Junwei Ou, Jian Wu, et al.. (2023). A cluster-based genetic optimization method for satellite range scheduling system. Swarm and Evolutionary Computation. 79. 101316–101316. 27 indexed citations
12.
Yang, Wenchuan, et al.. (2023). An improved heterogeneous graph convolutional network for job recommendation. Engineering Applications of Artificial Intelligence. 126. 107147–107147. 9 indexed citations
13.
Ou, Junwei, et al.. (2022). Individual-based self-learning prediction method for dynamic multi-objective optimization. Information Sciences. 613. 401–418. 9 indexed citations
14.
Zheng, Jinhua, Zeyu Zhang, Juan Zou, et al.. (2021). A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution. Swarm and Evolutionary Computation. 69. 100987–100987. 49 indexed citations
15.
Zou, Juan, et al.. (2021). A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization. Information Sciences. 560. 307–330. 29 indexed citations
17.
Chen, Yuning, et al.. (2020). An Efficient Local Search Heuristic for Earth Observation Satellite Integrated Scheduling. Applied Sciences. 10(16). 5616–5616. 18 indexed citations
18.
Ou, Junwei, Jinhua Zheng, Gan Ruan, et al.. (2019). A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization. Applied Soft Computing. 85. 105673–105673. 30 indexed citations
19.
Zhou, Jianwei, Juan Zou, Shengxiang Yang, et al.. (2018). An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance. DMU Open Research Archive (De Montfort University). 2148–2154. 4 indexed citations
20.
Li, Heping, Dayong Zheng, Bing Zhang, et al.. (2014). Mir-208 promotes cell proliferation by repressing SOX6 expression in human esophageal squamous cell carcinoma. Journal of Translational Medicine. 12(1). 196–196. 72 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

Rankless by CCL
2026