Li Yan Yuan
- Artificial Intelligence top 5%
- Cognitive Neuroscience
- Computer Science Applications top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Jia-Huai YouMichael O’LearyJ GardnerDing-An ChiangZong Jie CuiHong JiangJiaxin CuiXinlin Zhou
- Topics
- Logic, Reasoning, and Knowledge (18 papers)Advanced Database Systems and Queries (10 papers)Data Management and Algorithms (10 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Li Yan Yuan
42 papers receiving 511 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 233
- Cognitive Neuroscience 97
- Computer Science Applications 64
- Computer Networks and Communications 63
- Computational Theory and Mathematics 57
Countries citing papers authored by Li Yan Yuan
This map shows the geographic impact of Li Yan Yuan'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 Yan Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Yan Yuan more than expected).
Fields of papers citing papers by Li Yan Yuan
This network shows the impact of papers produced by Li Yan Yuan. 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 Yan Yuan. The network helps show where Li Yan Yuan may publish in the future.
Co-authorship network of co-authors of Li Yan Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Li Yan Yuan. A scholar is included among the top collaborators of Li Yan Yuan 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 Yan Yuan. Li Yan Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 19 | |
| 5 | 103 | |
| 6 | 26 | |
| 7 | 26 | |
| 8 | 8 | |
| 9 | Statistical Analysis of the Collocation Networks of Relative Words in Chinese Complex Sentences Based on Complex Network Theory | 1 |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | Regular extension semantics and disjunctive Eshghi-Kowalski procedure | 3 |
| 15 | A default interpretation of defeasible network | 4 |
| 16 | 35 | |
| 17 | 35 | |
| 18 | Extended Well-Founded Model Semantics for General Logic Programs | 8 |
| 19 | On reducing parallel circumscription | 4 |
| 20 | Design theory for nested relational databases | 1 |
About Li Yan Yuan
Li Yan Yuan is a scholar working on Signal Processing, Artificial Intelligence and Computational Theory and Mathematics, having authored 43 papers that have together received 542 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (18 papers), Advanced Database Systems and Queries (10 papers) and Data Management and Algorithms (10 papers). The work is most often cited by research in Health Informatics (26 citations), Computer Science Applications (64 citations) and Artificial Intelligence (233 citations). Li Yan Yuan has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Jia-Huai You, Michael O’Leary, J Gardner, Ding-An Chiang, Zong Jie Cui, Hong Jiang, Jiaxin Cui, Xinlin Zhou, Zhong Yang and Xuehai Wu. Their work appears in journals such as NeuroImage, Neuroscience and Artificial Intelligence.
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.