Siyi Liu
- Information Systems top 5%
- Recommender Systems and Techniques 4
- Artificial Intelligence top 10%
- Topic Modeling 4
- Machine Learning and Algorithms 2
- Advanced Graph Neural Networks 2
- Natural Language Processing Techniques 2
-
- Advanced Bandit Algorithms Research 2
- Control and Systems Engineering top 10%
-
- Power System Optimization and Stability 2
- Electric Vehicles and Infrastructure 1
- Co-authors
- Yujia ZhengZekun LiShu WuRodolfo C.C. FleschTao JinWencong SuJin TaoJie Zhou
- Journals
- IEEE Transactions on Power Electronics (2 papers)IET Generation Transmission & Distribution (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Siyi Liu
21 papers receiving 306 citations
Peers
Comparison fields: 5 of 54
- Information Systems 126
- Energy Engineering and Power Technology 16
- Artificial Intelligence 120
- Management Science and Operations Research 43
- Control and Systems Engineering 79
Countries citing papers authored by Siyi Liu
This map shows the geographic impact of Siyi 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 Siyi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siyi Liu more than expected).
Fields of papers citing papers by Siyi Liu
This network shows the impact of papers produced by Siyi 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 Siyi Liu. The network helps show where Siyi Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Siyi 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 | 2025 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 1 | |
| 6 | LEARNABLE EMBEDDING SIZES FOR RECOMMENDER SYSTEMS | 2021 | 1 |
| 7 | 2021 | 41 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 44 | |
| 12 | 2020 | 31 | |
| 13 | 2020 | 28 | |
| 14 | 2020 | 64 | |
| 15 | 2019 | 1 | |
| 16 | 2018 | 15 | |
| 17 | 2017 | 1 | |
| 18 | 2017 | 16 | |
| 19 | 2012 | 9 | |
| 20 | Semi-supervised based active class selection for automatic identification of sub-kilometer craters | 2011 | 5 |
About Siyi Liu
Siyi Liu is a scholar working on Information Systems, Artificial Intelligence, Industrial and Manufacturing Engineering, Human-Computer Interaction and Control and Systems Engineering, having authored 21 papers that have together received 314 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Recommender Systems and Techniques (4 papers), Machine Learning and Algorithms (2 papers), Power System Optimization and Stability (2 papers), Advanced Graph Neural Networks (2 papers), Advanced Bandit Algorithms Research (2 papers), Natural Language Processing Techniques (2 papers) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Information Systems (126 citations), Energy Engineering and Power Technology (16 citations), Artificial Intelligence (120 citations), Management Science and Operations Research (43 citations) and Control and Systems Engineering (79 citations). Siyi Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yujia Zheng, Zekun Li, Shu Wu, Rodolfo C.C. Flesch, Tao Jin, Wencong Su, Jin Tao, Jie Zhou, Leming Zhou and Chan Xiao. Their work appears in journals such as IEEE Transactions on Power Electronics, IET Generation Transmission & Distribution, Neurocomputing, IEEE Internet of Things Journal and Energy Sources Part A Recovery Utilization and Environmental Effects.
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.