Yongyi Yan

568 total citations
51 papers, 407 citations indexed

About

Yongyi Yan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yongyi Yan has authored 51 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Theory and Mathematics, 22 papers in Artificial Intelligence and 14 papers in Molecular Biology. Recurrent topics in Yongyi Yan's work include Formal Methods in Verification (20 papers), Petri Nets in System Modeling (12 papers) and Machine Learning and Algorithms (10 papers). Yongyi Yan is often cited by papers focused on Formal Methods in Verification (20 papers), Petri Nets in System Modeling (12 papers) and Machine Learning and Algorithms (10 papers). Yongyi Yan collaborates with scholars based in China. Yongyi Yan's co-authors include Zengqiang Chen, Zhongxin Liu, Jun‐e Feng, Daizhan Cheng, Haitao Li, Zhumu Fu, Jun‐e Feng, Mingwei Sun, Xinhua Zhang and Chengyi Xia and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Neurocomputing.

In The Last Decade

Yongyi Yan

45 papers receiving 404 citations

Peers

Yongyi Yan
Comparison fields: 5 of 53
  • Computational Theory and Mathematics 191
  • Molecular Biology 119
  • Artificial Intelligence 104
  • Control and Systems Engineering 93
  • Computer Networks and Communications 90
Replace M. Gorges-Schleuter with:
M. Gorges-Schleuter Germany
Andrea Maggiolo–Schettini Italy
L.C.G.J.M. Habets Netherlands
Jan Mulawka Poland
Alberto Moraglio United Kingdom
Cláudio N. Meneses Brazil
Benedek Nagy Hungary
Weiwei Sun China
Scott Davies United States
Krzysztof Choromański United States
M. Gorges-Schleuter Germany View profile →
Citations per field, relative to Yongyi Yan
Yongyi Yan · 1×
Citations per year, relative to Yongyi Yan
Yongyi Yan · 1×

Countries citing papers authored by Yongyi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yongyi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongyi Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yongyi Yan. A scholar is included among the top collaborators of Yongyi Yan 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 Yongyi Yan. Yongyi Yan 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 0
2 0
3 0
4 2
5 7
6 3
7 36
8 8
9 5
10 0
11 1
12 5
13 5
14 15
15 3
16 8
17 1
18 6
19 26
20
Solving singleton type-2 fuzzy relation equations based on semi-tensor product of matrices
2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026