Sisi Liu
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Information Systems top 10%
- Control and Systems Engineering
- Co-authors
- Marwan KrunzLoukas LazosIckjai LeeKyungmi LeeFatemeh MaghulyYiheng HuYue YangJian‐Feng Mao
- Topics
- Sentiment Analysis and Opinion Mining (6 papers)Spam and Phishing Detection (5 papers)Topic Modeling (5 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceElectrical and Electronic Engineering
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Sisi Liu
25 papers receiving 530 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 417
- Electrical and Electronic Engineering 214
- Artificial Intelligence 130
- Information Systems 60
- Control and Systems Engineering 25
Countries citing papers authored by Sisi Liu
This map shows the geographic impact of Sisi 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 Sisi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sisi Liu more than expected).
Fields of papers citing papers by Sisi Liu
This network shows the impact of papers produced by Sisi 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 Sisi Liu. The network helps show where Sisi Liu may publish in the future.
Co-authorship network of co-authors of Sisi Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Sisi Liu. A scholar is included among the top collaborators of Sisi Liu 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 Sisi Liu. Sisi Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 26 | |
| 8 | 18 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | Sentiment clustering with topic and temporal information from large email dataset | 2 |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | Gateway selection in hybrid wireless networks through cooperative probing | 5 |
| 16 | 67 | |
| 17 | 2 | |
| 18 | 30 | |
| 19 | 89 | |
| 20 | 101 |
About Sisi Liu
Sisi Liu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 28 papers that have together received 578 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (6 papers), Spam and Phishing Detection (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Computer Networks and Communications (417 citations), Artificial Intelligence (130 citations) and Electrical and Electronic Engineering (214 citations). Sisi Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Marwan Krunz, Loukas Lazos, Ickjai Lee, Kyungmi Lee, Fatemeh Maghuly, Yiheng Hu, Yue Yang, Jian‐Feng Mao, Junjie Deng and Ilga Porth. Their work appears in journals such as Nature Communications, Expert Systems with Applications and Frontiers in Plant 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.