Liguo Yao

1.3k total citations · 1 hit paper
35 papers, 973 citations indexed

About

Liguo Yao is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Liguo Yao has authored 35 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Industrial and Manufacturing Engineering and 8 papers in Computational Theory and Mathematics. Recurrent topics in Liguo Yao's work include Metaheuristic Optimization Algorithms Research (10 papers), Industrial Vision Systems and Defect Detection (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Liguo Yao is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Industrial Vision Systems and Defect Detection (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Liguo Yao collaborates with scholars based in China, Taiwan and Malaysia. Liguo Yao's co-authors include Haisong Huang, Qingsong Fan, Dong Huang, Qipeng Chen, Jianan Wei, Yiting Li, Qingsheng Xie, Yao Lu, Yao Hu and Chieh-Yuan Tsai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Liguo Yao

30 papers receiving 934 citations

Hit Papers

Review of the metaheuristic algorithms in applications: V... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liguo Yao China 14 433 230 209 203 153 35 973
Qingsong Fan China 16 525 1.2× 343 1.5× 246 1.2× 137 0.7× 130 0.8× 29 1.2k
Zoran Miljković Serbia 19 329 0.8× 278 1.2× 217 1.0× 480 2.4× 172 1.1× 51 1.2k
Xianfeng Yuan China 15 360 0.8× 195 0.8× 333 1.6× 54 0.3× 119 0.8× 68 875
Changting Zhong China 10 411 0.9× 93 0.4× 135 0.6× 70 0.3× 81 0.5× 18 971
Shashi Phoha United States 18 232 0.5× 133 0.6× 90 0.4× 164 0.8× 336 2.2× 103 1.2k
Yu Ding China 19 202 0.5× 106 0.5× 362 1.7× 70 0.3× 162 1.1× 62 1.0k
Ahmed Farahat United States 15 341 0.8× 136 0.6× 520 2.5× 97 0.5× 149 1.0× 34 1.0k
Tianyuan Liu China 17 167 0.4× 113 0.5× 156 0.7× 384 1.9× 310 2.0× 48 976
Darong Huang China 19 286 0.7× 178 0.8× 457 2.2× 57 0.3× 184 1.2× 176 1.2k
Sumika Chauhan India 21 281 0.6× 88 0.4× 417 2.0× 55 0.3× 275 1.8× 59 995

Countries citing papers authored by Liguo Yao

Since Specialization
Citations

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

Fields of papers citing papers by Liguo Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liguo Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Liguo Yao. A scholar is included among the top collaborators of Liguo Yao 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 Liguo Yao. Liguo Yao 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.
Yang, Jun, et al.. (2025). Integrating prompt techniques and multi-similarity matching for named entity recognition in low-resource settings. Engineering Applications of Artificial Intelligence. 144. 110149–110149. 2 indexed citations
2.
Cheng, Wei‐Chen, et al.. (2025). Entity-relation extraction for unmanned aerial vehicle power system assembly knowledge based on pre-trained language models and few-shot learning. Engineering Applications of Artificial Intelligence. 162. 112682–112682.
3.
Lu, Yao, et al.. (2025). A renewable energy aware multi-agent reinforcement learning approach for the dynamic flexible job shop scheduling problem. Advanced Engineering Informatics. 70. 104113–104113.
4.
Yao, Liguo, et al.. (2025). DTL-GNN: Digital Twin Lightweight Method Based on Graph Neural Network. Future Internet. 17(2). 65–65.
5.
6.
Yuan, Xiaoyang, et al.. (2025). An effective method for solving feature selection problems based on multi-strategy Hippo optimization algorithm. Journal of Computational Design and Engineering. 12(8). 193–251. 1 indexed citations
7.
Yao, Liguo, et al.. (2025). Multi-robot consistent formation control based on novel leader-follower model and optimization motion planning approach. Knowledge-Based Systems. 330. 114590–114590. 2 indexed citations
8.
Yao, Liguo, et al.. (2025). Adaptive multi-step path planning for multi-robot in dynamic environments based on hybrid optimization approach. Expert Systems with Applications. 298. 129699–129699. 3 indexed citations
9.
Yao, Liguo, et al.. (2025). Multi-objective human-robot collaborative task planning for assembly lines balancing based on cooperative optimization. Expert Systems with Applications. 306. 131001–131001.
10.
Yang, Jun, et al.. (2024). Evolution and emerging trends of named entity recognition: Bibliometric analysis from 2000 to 2023. Heliyon. 10(9). e30053–e30053. 13 indexed citations
11.
Yao, Liguo, et al.. (2023). ESO: An enhanced snake optimizer for real-world engineering problems. Expert Systems with Applications. 230. 120594–120594. 76 indexed citations
12.
Yao, Liguo, et al.. (2023). Multi-Strategy Improved Sand Cat Swarm Optimization: Global Optimization and Feature Selection. Biomimetics. 8(6). 492–492. 20 indexed citations
13.
Yao, Liguo, et al.. (2023). Reptile Search Algorithm Considering Different Flight Heights to Solve Engineering Optimization Design Problems. Biomimetics. 8(3). 305–305. 10 indexed citations
14.
Yao, Liguo, et al.. (2022). A Research on Image Semantic Refinement Recognition of Product Surface Defects Based on Causal Knowledge. Applied Sciences. 12(17). 8828–8828. 1 indexed citations
15.
Yao, Liguo, et al.. (2022). A Hybrid Golden Jackal Optimization and Golden Sine Algorithm with Dynamic Lens-Imaging Learning for Global Optimization Problems. Applied Sciences. 12(19). 9709–9709. 37 indexed citations
16.
Fan, Qingsong, et al.. (2021). A modified equilibrium optimizer using opposition-based learning and novel update rules. Expert Systems with Applications. 170. 114575–114575. 50 indexed citations
17.
Fan, Qingsong, et al.. (2021). A modified self-adaptive marine predators algorithm: framework and engineering applications. Engineering With Computers. 38(4). 3269–3294. 54 indexed citations
18.
Wei, Jianan, Haisong Huang, Liguo Yao, et al.. (2020). IA-SUWO: An Improving Adaptive semi-unsupervised weighted oversampling for imbalanced classification problems. Knowledge-Based Systems. 203. 106116–106116. 33 indexed citations
19.
Li, Yiting, Haisong Huang, Qingsheng Xie, Liguo Yao, & Qipeng Chen. (2018). Research on a Surface Defect Detection Algorithm Based on MobileNet-SSD. Applied Sciences. 8(9). 1678–1678. 239 indexed citations
20.
Huang, Haisong, Liguo Yao, & Chieh-Yuan Tsai. (2016). Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach. Cybernetics and Information Technologies. 16(3). 185–194. 3 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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