Ya-Hui Jia

995 citations
29 papers · 689 indexed · h-index 12

Ya-Hui Jia

25 papers receiving 678 citations

Peers

Ya-Hui Jia
Comparison fields: 5 of 67
  • Industrial and Manufacturing Engineering 232
  • Computational Theory and Mathematics 164
  • Artificial Intelligence 303
  • Automotive Engineering 96
  • Building and Construction 62
Replace Ayad Turky with:
Ayad Turky Australia
Zakir Hussain Ahmed Saudi Arabia
Li‐Pei Wong Malaysia
Pedro López-García Spain
Belaïd Ahiod Morocco
Surafel Luleseged Tilahun South Africa
Roberto Carballedo Spain
L. M. Gambardella Switzerland
Mostafa Mahi Iran
Myriam Delgado Brazil
Ya-Hui Jia relative to Ayad Turky Australia Ayad Turky's profile →
Citations per field
00.5×4.2×
Ayad Turky · 1×
Citations per year

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

The 25 scholars most cited alongside Ya-Hui Jia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ya-Hui Jia Line = papers co-authored together Ya-Hui Jia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20251
5 20243
6 20241
7 20242
8 20240
9 20231
10 202341
11 20238
12 202248
13 202137
14 202116
15 2021139
16 20208
17 202035
18 201964
19 201775
20 20144

About Ya-Hui Jia

Ya-Hui Jia is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Transportation, having authored 29 papers that have together received 689 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Vehicle Routing Optimization Methods (10 papers), Robotic Path Planning Algorithms (7 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Distributed Control Multi-Agent Systems (4 papers), Evolutionary Algorithms and Applications (4 papers), Water Systems and Optimization (3 papers) and Transportation and Mobility Innovations (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (232 citations), Computational Theory and Mathematics (164 citations), Artificial Intelligence (303 citations), Automotive Engineering (96 citations) and Building and Construction (62 citations). Ya-Hui Jia has collaborated with scholars based in China, New Zealand and South Korea. Frequent 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. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Artificial Intelligence and IEEE Transactions on Computational Social Systems.

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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