Li Yao

581 total citations
41 papers, 320 citations indexed

About

Li Yao is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Li Yao has authored 41 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Li Yao's work include Semantic Web and Ontologies (8 papers), Multi-Agent Systems and Negotiation (6 papers) and Logic, Reasoning, and Knowledge (6 papers). Li Yao is often cited by papers focused on Semantic Web and Ontologies (8 papers), Multi-Agent Systems and Negotiation (6 papers) and Logic, Reasoning, and Knowledge (6 papers). Li Yao collaborates with scholars based in China, Canada and United Kingdom. Li Yao's co-authors include Yoshua Bengio, Guillaume Alain, Pascal Vincent, Bin Liu, Le Li, Cong He, Lingling Huang, Xin Li, Junjie Li and Hongqiang Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Li Yao

36 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Yao China 9 175 80 55 51 33 41 320
Shan Ai China 10 99 0.6× 43 0.5× 49 0.9× 23 0.5× 30 0.9× 20 289
Quanyuan Feng China 11 111 0.6× 123 1.5× 91 1.7× 12 0.2× 31 0.9× 41 362
Mahmudur Rahman United States 12 132 0.8× 82 1.0× 148 2.7× 34 0.7× 10 0.3× 55 463
Ji Liu United States 10 105 0.6× 77 1.0× 31 0.6× 17 0.3× 57 1.7× 23 322
Jiqiang Feng China 10 144 0.8× 29 0.4× 64 1.2× 6 0.1× 31 0.9× 28 338
Liwei Song China 14 149 0.9× 49 0.6× 203 3.7× 38 0.7× 23 0.7× 41 528
Shuqiang Yang China 11 108 0.6× 70 0.9× 52 0.9× 46 0.9× 7 0.2× 85 399
Amaury Habrard France 12 402 2.3× 193 2.4× 35 0.6× 109 2.1× 6 0.2× 38 534
Junwei Yang China 10 143 0.8× 79 1.0× 78 1.4× 43 0.8× 10 0.3× 36 398
Yi Zhu China 15 370 2.1× 124 1.6× 47 0.9× 14 0.3× 18 0.5× 87 577

Countries citing papers authored by Li Yao

Since Specialization
Citations

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

Fields of papers citing papers by Li Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Li Yao. A scholar is included among the top collaborators of Li 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 Li Yao. Li 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.
Wang, Shengliang, Yuqing Li, & Li Yao. (2025). Heterogeneous Genetic Learning and Comprehensive Learning Strategy Particle Swarm Optimizer. Algorithms. 18(12). 755–755.
2.
Yao, Li, et al.. (2025). A Large Language Model Driven Knowledge Graph Construction Scheme for Semantic Communication. Applied Sciences. 15(8). 4575–4575.
3.
Wang, Yiren, et al.. (2025). Research Trends and Hot Topics of Nanozymes in Wound Care: A Bibliometric Analysis. Tissue Engineering Part C Methods. 31(2). 85–100. 1 indexed citations
4.
Zhao, Zhengcai, et al.. (2025). A novel method for intelligent reasoning of machining step sequences based on deep reinforcement learning. Journal of Manufacturing Systems. 80. 626–642. 2 indexed citations
5.
Yao, Li, et al.. (2025). Revisiting fine-grained classification: A dual-branch method for noise-resilient and global-local discriminative learning. Expert Systems with Applications. 295. 128802–128802. 1 indexed citations
6.
Bellettiere, John, Tamer H. Farag, Kristina M. Lee, et al.. (2025). Association Between Trust in Health Care Professionals and Health Care Access: Insights From an Online Survey Across 21 Countries. International Journal of Public Health. 70. 1607884–1607884.
7.
Zhang, Kaiwen, Li Chen, Li Yao, et al.. (2024). Neural network inspired bionic ordered structure polyaniline gel for wearable sensor. European Polymer Journal. 217. 113314–113314. 2 indexed citations
8.
He, Cong, Fei Fan, Hongqiang Zhou, et al.. (2023). Pluggable multitask diffractive neural networks based on cascaded metasurfaces. Opto-Electronic Advances. 7(2). 230005–230005. 64 indexed citations
9.
Liu, Bin, et al.. (2023). TGR: Neural-symbolic ontological reasoner for domain-specific knowledge graphs. Applied Intelligence. 53(20). 23946–23965. 1 indexed citations
10.
Dong, Guangyu, et al.. (2023). Intelligent Medical Knowledge Robot Based on Knowledge Graph. Journal of Physics Conference Series. 2501(1). 12032–12032. 1 indexed citations
11.
12.
Yao, Li, et al.. (2019). Leveraging Fine-Grained Labels to Regularize Fine-Grained Visual Classification. 133–136. 4 indexed citations
13.
Liu, Bin, et al.. (2016). Harnessing ontology and machine learning for RSO classification. SpringerPlus. 5(1). 1655–1655. 11 indexed citations
14.
Yao, Li, et al.. (2015). Argumentation Based Joint Learning: A Novel Ensemble Learning Approach. PLoS ONE. 10(5). e0127281–e0127281. 10 indexed citations
15.
Yao, Li, et al.. (2014). Sampling based multi-agent joint learning for association rule mining. Adaptive Agents and Multi-Agents Systems. 1469–1470. 3 indexed citations
16.
Bengio, Yoshua, Li Yao, & Kyunghyun Cho. (2014). Bounding the Test Log-Likelihood of Generative Models. arXiv (Cornell University). 3 indexed citations
17.
Yao, Li, et al.. (2014). An argumentation based feedback system for action planning of service robots. 289. 1–7. 1 indexed citations
18.
Ozair, Sherjil, Li Yao, & Yoshua Bengio. (2013). Multimodal Transitions for Generative Stochastic Networks. International Conference on Learning Representations. 4 indexed citations
19.
20.
Yao, Li. (2004). A Multi-agent Cooperative Reinforcement Learning Algorithm Based on Team Markov Game. Fudan xuebao. Ziran Kexue ban. 2 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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