Ying Song
Impact in
-
- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
- Age of Information Optimization
- Information Systems top 2%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
-
- IoT and Edge/Fog Computing 13
- Caching and Content Delivery 13
- Advanced Data Storage Technologies 10
- Distributed and Parallel Computing Systems 10
- Optimization and Search Problems 3
-
- Cloud Computing and Resource Management 28
- Co-authors
- Bo Wang (20 shared papers)Changhai Wang (5 shared papers)Yuzhong Sun (13 shared papers)Wanwei Huang (4 shared papers)Xiaoyun Qin (4 shared papers)Weisong Shi (2 shared papers)Jie Cao (3 shared papers)Louis Shue (2 shared papers)
- Journals
- IEEE Access (6 papers)Journal of Parallel and Distributed Computing (2 papers)Scientific Reports (1 paper)Engineering Applications of Artificial Intelligence (1 paper)PeerJ Computer Science (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Ying Song
47 papers receiving 479 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 315
- Information Systems 283
- Hardware and Architecture 24
- Signal Processing 22
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Ying Song
This map shows the geographic impact of Ying Song'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 Ying Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Song more than expected).
Fields of papers citing papers by Ying Song
This network shows the impact of papers produced by Ying Song. 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 Ying Song. The network helps show where Ying Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2011 | 42 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 36 | |
| 5 | 2006 | 26 | |
| 6 | 2009 | 21 | |
| 7 | 2023 | 20 | |
| 8 | 2022 | 19 | |
| 9 | 2023 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2007 | 15 | |
| 12 | 2011 | 11 | |
| 13 | 2018 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2017 | 9 | |
| 16 | 2010 | 9 | |
| 17 | 2015 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2022 | 6 |
About Ying Song
Ying Song is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Signal Processing and Artificial Intelligence, having authored 50 papers that have together received 498 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (28 papers), IoT and Edge/Fog Computing (13 papers), Caching and Content Delivery (13 papers), Advanced Data Storage Technologies (10 papers), Distributed and Parallel Computing Systems (10 papers), Parallel Computing and Optimization Techniques (4 papers), Security and Verification in Computing (4 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Computer Networks and Communications (315 citations), Information Systems (283 citations), Hardware and Architecture (24 citations), Signal Processing (22 citations) and Computer Vision and Pattern Recognition (40 citations). Ying Song has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Bo Wang, Changhai Wang, Yuzhong Sun, Wanwei Huang, Xiaoyun Qin, Weisong Shi, Jie Cao, Louis Shue, Jianfeng Chen and Ling Zhang. Their work appears in journals such as IEEE Access, Journal of Parallel and Distributed Computing, Scientific Reports, Engineering Applications of Artificial Intelligence and PeerJ Computer Science.
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.