Li-Yan Yuan

542 total citations
26 papers, 285 citations indexed

About

Li-Yan Yuan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Li-Yan Yuan has authored 26 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 6 papers in Computational Theory and Mathematics. Recurrent topics in Li-Yan Yuan's work include Logic, Reasoning, and Knowledge (14 papers), Logic, programming, and type systems (13 papers) and Semantic Web and Ontologies (7 papers). Li-Yan Yuan is often cited by papers focused on Logic, Reasoning, and Knowledge (14 papers), Logic, programming, and type systems (13 papers) and Semantic Web and Ontologies (7 papers). Li-Yan Yuan collaborates with scholars based in Canada, China and United States. Li-Yan Yuan's co-authors include Z. Meral Özsoyoğlu, Jia-Huai You, Yi-Dong Shen, Neng‐Fa Zhou, Xianchang Wang, Mingyi Zhang, Samuel S. P. Shen, Huanbing Gao, Qiang Yang and Tanya N. Alim and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Neural Computing and Applications and Theoretical Computer Science.

In The Last Decade

Li-Yan Yuan

25 papers receiving 248 citations

Peers

Li-Yan Yuan
Comparison fields: 5 of 29
  • Artificial Intelligence 200
  • Computer Networks and Communications 190
  • Signal Processing 129
  • Information Systems 67
  • Computational Theory and Mathematics 35
Replace Hugh Darwen with:
Hugh Darwen United Kingdom
Vladislav Ryzhikov United Kingdom
Dennis McLeod United States
K. Bernhard Schiefer United States
Stella Gatziu Switzerland
Iyer N. Subramanian Canada
Charles G. Hoch United States
Laurent Mignet India
Yavor Nenov United Kingdom
Joel Coffman United States
Hugh Darwen United Kingdom View profile →
Citations per field, relative to Li-Yan Yuan
Li-Yan Yuan · 1×
Citations per year, relative to Li-Yan Yuan
Li-Yan Yuan · 1×

Countries citing papers authored by Li-Yan Yuan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# Work Indexed citations
1 3
2 2
3 5
4 29
5 4
6 8
7 7
8 5
9
On the equivalence between answer sets and models of completion for nested logic programs
6
10 9
11 15
12 6
13 2
14
Circumscription by Inference Rules with Priority
2
15 1
16 9
17 3
18 1
19 96
20 41

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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