Yiran Shen
- Electrical and Electronic Engineering top 10%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Cognitive Neuroscience
- Artificial Intelligence
- Co-authors
- Guangyi WangShayan MookherjeaYuan FangXiaoyuan WangHerbert Ho‐Ching IuIvan DivlianskyYujiao DongGuanrong Chen
- Topics
- Advanced Memory and Neural Computing (16 papers)Neural Networks Stability and Synchronization (6 papers)Neuroscience and Neural Engineering (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsElectrical and Electronic EngineeringCognitive Neuroscience
- Journals
- Optics LettersIEEE AccessTetrahedron
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yiran Shen
24 papers receiving 412 citations
Peers
Comparison fields: 5 of 35
- Electrical and Electronic Engineering 345
- Statistical and Nonlinear Physics 173
- Computer Networks and Communications 97
- Cognitive Neuroscience 85
- Artificial Intelligence 66
Countries citing papers authored by Yiran Shen
This map shows the geographic impact of Yiran Shen'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 Yiran Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiran Shen more than expected).
Fields of papers citing papers by Yiran Shen
This network shows the impact of papers produced by Yiran Shen. 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 Yiran Shen. The network helps show where Yiran Shen may publish in the future.
Co-authorship network of co-authors of Yiran Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Yiran Shen. A scholar is included among the top collaborators of Yiran Shen 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 Yiran Shen. Yiran Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 39 | |
| 8 | 56 | |
| 9 | 14 | |
| 10 | 39 | |
| 11 | 22 | |
| 12 | 27 | |
| 13 | 10 | |
| 14 | 29 | |
| 15 | 45 | |
| 16 | 42 | |
| 17 | 21 | |
| 18 | 32 | |
| 19 | 8 | |
| 20 | 2 |
About Yiran Shen
Yiran Shen is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 432 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Neural Networks Stability and Synchronization (6 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (173 citations), Electrical and Electronic Engineering (345 citations) and Cognitive Neuroscience (85 citations). Yiran Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guangyi Wang, Guangyi Wang, Shayan Mookherjea, Yuan Fang, Xiaoyuan Wang, Herbert Ho‐Ching Iu, Ivan Divliansky, Yujiao Dong, Guanrong Chen and Yabo Wang. Their work appears in journals such as Optics Letters, IEEE Access and Tetrahedron.
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.