Song Y. Yan
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Co-authors
- Xiaojun LiuLee NaishG. JamesDonghui HuMeng LiShuli ZhengBin YangZhong Xiang
- Topics
- Coding theory and cryptography (7 papers)Computability, Logic, AI Algorithms (6 papers)Logic, programming, and type systems (5 papers)
- Journals
- Computers & Mathematics with ApplicationsACM Transactions on Database SystemsApplied Mathematics Letters
- Partner nations
- United KingdomChinaAustralia
In The Last Decade
Song Y. Yan
30 papers receiving 218 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 181
- Information Systems 85
- Computer Vision and Pattern Recognition 61
- Computational Theory and Mathematics 52
- Computer Networks and Communications 38
Countries citing papers authored by Song Y. Yan
This map shows the geographic impact of Song Y. 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 Song Y. Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Y. Yan more than expected).
Fields of papers citing papers by Song Y. Yan
This network shows the impact of papers produced by Song Y. 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 Song Y. Yan. The network helps show where Song Y. Yan may publish in the future.
Co-authorship network of co-authors of Song Y. Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Song Y. Yan. A scholar is included among the top collaborators of Song Y. 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 Song Y. Yan. Song Y. Yan 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 | 5 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 21 | |
| 7 | The Neural Mechanism of Perceptual Learning | 0 |
| 8 | 2 | |
| 9 | 2 | |
| 10 | Primality Testing and Integer Factorization in Public-Key Cryptography (Advances in Information Security, 11) | 1 |
| 11 | 38 | |
| 12 | 67 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Declarative testing-debugging as tutoring | 1 |
| 19 | 3 | |
| 20 | 2 |
About Song Y. Yan
Song Y. Yan is a scholar working on Theoretical Computer Science, Computational Theory and Mathematics and Algebra and Number Theory, having authored 34 papers that have together received 255 indexed citations. Recurring topics across this work include Coding theory and cryptography (7 papers), Computability, Logic, AI Algorithms (6 papers) and Logic, programming, and type systems (5 papers). The work is most often cited by research in Artificial Intelligence (181 citations), Information Systems (85 citations) and Computational Theory and Mathematics (52 citations). Song Y. Yan has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Xiaojun Liu, Lee Naish, G. James, Donghui Hu, Meng Li, Shuli Zheng, Bin Yang, Zhong Xiang and Xiaoli Ma. Their work appears in journals such as Computers & Mathematics with Applications, ACM Transactions on Database Systems and Applied Mathematics Letters.
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.