Yi-Ran Sun
- Electrical and Electronic Engineering
- Biomedical Engineering
- Complementary and alternative medicine top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Topics
- Analog and Mixed-Signal Circuit Design (14 papers)Advanced Adaptive Filtering Techniques (7 papers)Radio Frequency Integrated Circuit Design (6 papers)
- Partner nations
- ChinaSwedenUnited Kingdom
In The Last Decade
Yi-Ran Sun
35 papers receiving 357 citations
Peers
Comparison fields: 5 of 79
- Electrical and Electronic Engineering 111
- Biomedical Engineering 96
- Complementary and alternative medicine 85
- Computer Networks and Communications 62
- Computer Vision and Pattern Recognition 56
Countries citing papers authored by Yi-Ran Sun
This map shows the geographic impact of Yi-Ran Sun'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 Yi-Ran Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi-Ran Sun more than expected).
Fields of papers citing papers by Yi-Ran Sun
This network shows the impact of papers produced by Yi-Ran Sun. 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 Yi-Ran Sun. The network helps show where Yi-Ran Sun may publish in the future.
Co-authorship network of co-authors of Yi-Ran Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Ran Sun. A scholar is included among the top collaborators of Yi-Ran Sun 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 Yi-Ran Sun. Yi-Ran Sun 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 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors | 1 |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | Theory of Generalized Bandpass Sampling in Subsampling Receivers | 1 |
| 17 | 6 | |
| 18 | 7 | |
| 19 | Jitter Performance of Reconstruction Algorithmsfor Nonuniform Bandpass Sampling | 1 |
| 20 | Simulation and Evaluation of a Network on Chip Architecture Using Ns-2 | 40 |
About Yi-Ran Sun
Yi-Ran Sun is a scholar working on Signal Processing, Computational Mechanics and Biomedical Engineering, having authored 38 papers that have together received 382 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (14 papers), Advanced Adaptive Filtering Techniques (7 papers) and Radio Frequency Integrated Circuit Design (6 papers). The work is most often cited by research in Complementary and alternative medicine (85 citations), Hardware and Architecture (31 citations) and Hematology (31 citations). Yi-Ran Sun has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include S. Signell, Shashi Kumar, Axel Jantsch, Yuming Dong, Qingqing Zhu, Guanzhong Tian, Yong Liu, Liang Liu, Da‐Wei Ding and Mingwu Shen. Their work appears in journals such as Advanced Materials, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.
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.