Ya-Hui Jia

995 total citations
29 papers, 689 citations indexed

About

Ya-Hui Jia is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ya-Hui Jia has authored 29 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Industrial and Manufacturing Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ya-Hui Jia's work include Metaheuristic Optimization Algorithms Research (13 papers), Vehicle Routing Optimization Methods (10 papers) and Robotic Path Planning Algorithms (7 papers). Ya-Hui Jia is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Vehicle Routing Optimization Methods (10 papers) and Robotic Path Planning Algorithms (7 papers). Ya-Hui Jia collaborates with scholars based in China, New Zealand and South Korea. Ya-Hui Jia's co-authors include Yi Mei, Mengjie Zhang, Wei–Neng Chen, Jun Zhang, Huaxiang Zhang, Huaqiang Yuan, Tianlong Gu, Will N. Browne, Bin Xin and Wei–Jie Yu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Cybernetics and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Ya-Hui Jia

25 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya-Hui Jia China 12 303 232 164 105 99 29 689
Ayad Turky Australia 13 288 1.0× 203 0.9× 159 1.0× 52 0.5× 34 0.3× 35 566
Pedro López-García Spain 9 276 0.9× 167 0.7× 74 0.5× 58 0.6× 49 0.5× 22 575
Belaïd Ahiod Morocco 10 348 1.1× 234 1.0× 118 0.7× 89 0.8× 59 0.6× 20 577
L. M. Gambardella Switzerland 8 286 0.9× 611 2.6× 115 0.7× 112 1.1× 54 0.5× 13 886
Zakir Hussain Ahmed Saudi Arabia 14 249 0.8× 293 1.3× 99 0.6× 41 0.4× 42 0.4× 49 573
Surafel Luleseged Tilahun South Africa 13 333 1.1× 101 0.4× 145 0.9× 60 0.6× 65 0.7× 37 633
Li‐Pei Wong Malaysia 14 357 1.2× 349 1.5× 98 0.6× 81 0.8× 32 0.3× 25 626
José Carlos Ortíz-Bayliss Mexico 15 319 1.1× 323 1.4× 118 0.7× 140 1.3× 37 0.4× 76 617
Roberto Carballedo Spain 12 242 0.8× 208 0.9× 83 0.5× 52 0.5× 41 0.4× 25 457
Myriam Delgado Brazil 19 503 1.7× 154 0.7× 244 1.5× 70 0.7× 49 0.5× 87 899

Countries citing papers authored by Ya-Hui Jia

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Hui Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Hui Jia. 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 Ya-Hui Jia. The network helps show where Ya-Hui Jia may publish in the future.

Co-authorship network of co-authors of Ya-Hui Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Ya-Hui Jia. A scholar is included among the top collaborators of Ya-Hui Jia 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 Ya-Hui Jia. Ya-Hui Jia 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.
Jia, Ya-Hui, et al.. (2025). Multistage Particle Swarm Optimization for Heterogeneous Multipoint Dynamic Aggregation. IEEE Transactions on Systems Man and Cybernetics Systems. 55(7). 4614–4628. 1 indexed citations
2.
Li, Ming, Qiang Yang, Wei–Neng Chen, et al.. (2025). A Multimodal Ant Colony Optimization Framework for Multi-Solution Traveling Salesman Problem. IEEE Transactions on Evolutionary Computation. 1–1.
3.
Jia, Ya-Hui, et al.. (2025). Distance-Aware Attention Reshaping for Enhancing Generalization of Neural Solvers. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 18900–18914.
4.
Wang, Yang, Ya-Hui Jia, Wei–Neng Chen, & Yi Mei. (2025). Soft Parameter Sharing Model for Cross-Problem Generalization in Vehicle Routing Problems. IEEE Transactions on Artificial Intelligence. 7(1). 471–485. 1 indexed citations
5.
Jia, Ya-Hui, et al.. (2024). An evolutionary optimization-learning hybrid algorithm for energy resource management. Swarm and Evolutionary Computation. 92. 101831–101831. 3 indexed citations
6.
Yang, Qiang, et al.. (2024). Evolutionary Algorithm with Cross-Generation Environmental Selection for Traveling Salesman Problem. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 635–638. 1 indexed citations
7.
Chen, Xiangling, et al.. (2024). A fuzzy grouping-based memetic algorithm for multi-depot multi-UAV power pole inspection. Applied Soft Computing. 168. 112472–112472. 2 indexed citations
8.
Hu, Xiao-Min, et al.. (2024). Learning to Communicate Among Agents for Large-Scale Dynamic Path Planning With Genetic Programming Hyperheuristic. IEEE Transactions on Artificial Intelligence. 6(5). 1269–1283.
9.
10.
Yang, Qiang, Wei–Neng Chen, Ya-Hui Jia, et al.. (2023). Random Contrastive Interaction for Particle Swarm Optimization in High-Dimensional Environment. IEEE Transactions on Evolutionary Computation. 28(4). 933–949. 41 indexed citations
11.
Jia, Ya-Hui, et al.. (2023). Uncertain Commuters Assignment Through Genetic Programming Hyper-Heuristic. IEEE Transactions on Computational Social Systems. 11(2). 2606–2619. 8 indexed citations
12.
Jia, Ya-Hui, Yi Mei, & Mengjie Zhang. (2022). Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes. IEEE Transactions on Evolutionary Computation. 26(6). 1394–1408. 48 indexed citations
13.
Mei, Yi, et al.. (2021). Adaptive Coordination Ant Colony Optimization for Multipoint Dynamic Aggregation. IEEE Transactions on Cybernetics. 52(8). 7362–7376. 37 indexed citations
14.
Jia, Ya-Hui, Yi Mei, & Mengjie Zhang. (2021). A Two-Stage Swarm Optimizer With Local Search for Water Distribution Network Optimization. IEEE Transactions on Cybernetics. 53(3). 1667–1681. 16 indexed citations
15.
Jia, Ya-Hui, Yi Mei, & Mengjie Zhang. (2021). A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem. IEEE Transactions on Cybernetics. 52(10). 10855–10868. 139 indexed citations
16.
Jia, Ya-Hui, Yi Mei, & Mengjie Zhang. (2020). A memetic level-based learning swarm optimizer for large-scale water distribution network optimization. 1107–1115. 8 indexed citations
17.
Jia, Ya-Hui, Yi Mei, & Mengjie Zhang. (2020). Contribution-Based Cooperative Co-Evolution for Nonseparable Large-Scale Problems With Overlapping Subcomponents. IEEE Transactions on Cybernetics. 52(6). 4246–4259. 35 indexed citations
18.
Chen, Wei–Neng, et al.. (2019). A Cooperative Co-Evolutionary Approach to Large-Scale Multisource Water Distribution Network Optimization. IEEE Transactions on Evolutionary Computation. 23(5). 842–857. 64 indexed citations
19.
Jia, Ya-Hui, Wei–Neng Chen, Tianlong Gu, et al.. (2017). A Dynamic Logistic Dispatching System With Set-Based Particle Swarm Optimization. IEEE Transactions on Systems Man and Cybernetics Systems. 48(9). 1607–1621. 75 indexed citations
20.
Jia, Ya-Hui, Wei–Neng Chen, & Xiao-Min Hu. (2014). A PSO approach for software project planning. 7–8. 4 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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