Songran Liu
- Hardware and Architecture top 5%
- Real-Time Systems Scheduling 7
- Embedded Systems Design Techniques 4
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- Distributed systems and fault tolerance 6
- Computer Science Applications top 10%
- Online Learning and Analytics 3
- Information Systems top 10%
- Mobile Learning in Education 2
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- Radiation Effects in Electronics 4
- Energy Harvesting in Wireless Networks 3
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- Security and Verification in Computing 4
Songran Liu
23 papers receiving 260 citations
Peers
Comparison fields: 5 of 55
- Hardware and Architecture 87
- Computer Networks and Communications 104
- Computer Science Applications 23
- Information Systems 62
- Control and Systems Engineering 52
Countries citing papers authored by Songran Liu
This map shows the geographic impact of Songran Liu'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 Songran Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songran Liu more than expected).
Fields of papers citing papers by Songran Liu
This network shows the impact of papers produced by Songran Liu. 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 Songran Liu. The network helps show where Songran Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Songran Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 9 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 1 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 9 | |
| 13 | 2018 | 34 | |
| 14 | 2018 | 40 | |
| 15 | 2018 | 42 | |
| 16 | 2017 | 19 | |
| 17 | 2014 | 8 | |
| 18 | Ubiquitous learning analytics using learning logs | 2014 | 3 |
| 19 | Ubiquitous Learning Project Using Life-logging Technology in Japan | 2014 | 41 |
| 20 | Visualizing ubiquitous learning logs using collocational networks | 2014 | 4 |
About Songran Liu
Songran Liu is a scholar working on Hardware and Architecture, Computer Science Applications, Computer Networks and Communications, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 26 papers that have together received 268 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (7 papers), Distributed systems and fault tolerance (6 papers), Embedded Systems Design Techniques (4 papers), Radiation Effects in Electronics (4 papers), Security and Verification in Computing (4 papers), Energy Harvesting in Wireless Networks (3 papers), Online Learning and Analytics (3 papers) and Mobile Learning in Education (2 papers). The work is most often cited by research in Hardware and Architecture (87 citations), Computer Networks and Communications (104 citations), Computer Science Applications (23 citations), Information Systems (62 citations) and Control and Systems Engineering (52 citations). Songran Liu has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Wang Yi, Monowar Hasan, Sibin Mohan, Chien-Ying Chen, Marco Caccamo, Nan Guan, Hiroaki Ogata, Zhe Li, Noriko Uosaki and Mengmeng Li. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Electronics, Journal of Systems Architecture, IEEE Internet of Things Journal and Research and Practice in Technology Enhanced Learning.
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.