Ruwang Jiao

1.0k total citations
24 papers, 723 citations indexed

About

Ruwang Jiao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Ruwang Jiao has authored 24 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 3 papers in Control and Systems Engineering. Recurrent topics in Ruwang Jiao's work include Advanced Multi-Objective Optimization Algorithms (19 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Evolutionary Algorithms and Applications (8 papers). Ruwang Jiao is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (19 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Evolutionary Algorithms and Applications (8 papers). Ruwang Jiao collaborates with scholars based in China, New Zealand and Singapore. Ruwang Jiao's co-authors include Sanyou Zeng, Changhe Li, Bing Xue, Mengjie Zhang, Yew-Soon Ong, Shengxiang Yang, Bach Hoai Nguyen, Yuhong Jiang, Xi Li and Yaochu Jin and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Ruwang Jiao

22 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruwang Jiao China 14 521 486 81 67 55 24 723
Krishnendu Sanyal India 5 374 0.7× 385 0.8× 55 0.7× 55 0.8× 67 1.2× 6 544
Adriana Lara Mexico 11 573 1.1× 660 1.4× 106 1.3× 42 0.6× 112 2.0× 28 854
Gregorio Toscano‐Pulido Mexico 14 428 0.8× 508 1.0× 57 0.7× 57 0.9× 92 1.7× 41 718
Fei Ming China 17 612 1.2× 639 1.3× 132 1.6× 66 1.0× 70 1.3× 36 938
Dan Guo China 5 527 1.0× 540 1.1× 52 0.6× 54 0.8× 131 2.4× 8 781
Wu Song China 11 372 0.7× 351 0.7× 76 0.9× 66 1.0× 19 0.3× 19 554
Yuanchao Liu China 14 365 0.7× 295 0.6× 46 0.6× 35 0.5× 43 0.8× 42 528
Zhongbo Hu China 16 398 0.8× 320 0.7× 105 1.3× 135 2.0× 73 1.3× 49 682

Countries citing papers authored by Ruwang Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Ruwang Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruwang Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Ruwang Jiao. A scholar is included among the top collaborators of Ruwang Jiao 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 Ruwang Jiao. Ruwang Jiao 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.
Zeng, Sanyou, et al.. (2025). Uncertainty estimation by boosting with Gaussian process for expensive optimization problems. Applied Soft Computing. 180. 113320–113320.
2.
Jiao, Ruwang, Bing Xue, & Mengjie Zhang. (2024). Learning to Preselection: A Filter-Based Performance Predictor for Multiobjective Feature Selection in Classification. IEEE Transactions on Evolutionary Computation. 30(1). 31–45. 13 indexed citations
3.
Jiao, Ruwang, Bing Xue, & Mengjie Zhang. (2024). Sparse Learning-Based Feature Selection in Classification: A Multi-Objective Perspective. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(4). 2767–2781. 2 indexed citations
4.
Jiao, Ruwang, Bach Hoai Nguyen, Bing Xue, & Mengjie Zhang. (2023). A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. IEEE Transactions on Evolutionary Computation. 28(4). 1156–1176. 86 indexed citations
5.
Jiao, Ruwang, Bing Xue, & Jun Zhang. (2023). A Tri-Objective Method for Bi-Objective Feature Selection in Classification. Evolutionary Computation. 32(3). 217–248. 5 indexed citations
6.
Jiao, Ruwang, Bing Xue, & Mengjie Zhang. (2022). A Multiform Optimization Framework for Constrained Multiobjective Optimization. IEEE Transactions on Cybernetics. 53(8). 5165–5177. 66 indexed citations
7.
Jiao, Ruwang, Bing Xue, & Mengjie Zhang. (2022). Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling. IEEE Transactions on Evolutionary Computation. 28(4). 846–860. 31 indexed citations
8.
Jiao, Ruwang, Bing Xue, & Mengjie Zhang. (2022). Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach. IEEE Transactions on Cybernetics. 53(12). 7773–7786. 39 indexed citations
9.
Jiao, Ruwang, Sanyou Zeng, Changhe Li, & Yew-Soon Ong. (2021). Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. Information Sciences. 578. 592–614. 52 indexed citations
10.
Zhang, Qing, et al.. (2021). Balancing Exploration and Exploitation With Decomposition-Based Dynamic Multi-Objective Evolutionary Algorithm. International Journal of Cognitive Informatics and Natural Intelligence. 15(4). 1–23.
11.
Jiao, Ruwang, Sanyou Zeng, Changhe Li, Shengxiang Yang, & Yew-Soon Ong. (2020). Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Transactions on Cybernetics. 51(10). 4834–4847. 116 indexed citations
12.
Zeng, Sanyou, et al.. (2020). A Pareto Front Transformation Model for Multi- Objective-Based Constrained Optimization. IEEE Access. 13. 123473–123486. 5 indexed citations
13.
Zeng, Sanyou, et al.. (2020). On Formulating and Designing Antenna Arrays by Evolutionary Algorithms. IEEE Transactions on Antennas and Propagation. 69(2). 1118–1129. 23 indexed citations
14.
Jiao, Ruwang, Sanyou Zeng, Changhe Li, & Witold Pedrycz. (2019). Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling. 1634–1641. 8 indexed citations
15.
Jiao, Ruwang, Sanyou Zeng, & Changhe Li. (2019). A feasible-ratio control technique for constrained optimization. Information Sciences. 502. 201–217. 39 indexed citations
16.
Zeng, Sanyou, Ruwang Jiao, Changhe Li, & Rui Wang. (2019). Constrained optimisation by solving equivalent dynamic loosely-constrained multiobjective optimisation problem. International Journal of Bio-Inspired Computation. 13(2). 86–86. 14 indexed citations
17.
Jiao, Ruwang, Sanyou Zeng, Changhe Li, & Yuhong Jiang. (2018). Dynamic constrained multi-objective evolutionary algorithms with a novel selection strategy for constrained optimization. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 213–214. 4 indexed citations
18.
Jiao, Ruwang, Sanyou Zeng, Changhe Li, Yuhong Jiang, & Junchen Wang. (2018). Expected improvement of constraint violation for expensive constrained optimization. Proceedings of the Genetic and Evolutionary Computation Conference. 1039–1046. 5 indexed citations
19.
Jiao, Ruwang, et al.. (2017). Dynamic multi-objective evolutionary algorithms for single-objective optimization. Applied Soft Computing. 61. 793–805. 19 indexed citations
20.
Zeng, Sanyou, et al.. (2017). A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization. IEEE Transactions on Cybernetics. 47(9). 1–11. 88 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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