Shiqin Liu
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Molecular Biology
- Co-authors
- Anke ZhaoNing JiangKun QiuYiqun ZhangChenpeng XueTanya StoyanovaKejing ZhangJianming Tang
- Topics
- Nonlinear Dynamics and Pattern Formation (19 papers)Chaos control and synchronization (19 papers)Optical Network Technologies (9 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsArtificial Intelligence
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shiqin Liu
65 papers receiving 969 citations
Peers
Comparison fields: 5 of 119
- Electrical and Electronic Engineering 339
- Artificial Intelligence 332
- Statistical and Nonlinear Physics 307
- Computer Networks and Communications 279
- Molecular Biology 187
Countries citing papers authored by Shiqin Liu
This map shows the geographic impact of Shiqin 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 Shiqin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiqin Liu more than expected).
Fields of papers citing papers by Shiqin Liu
This network shows the impact of papers produced by Shiqin 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 Shiqin Liu. The network helps show where Shiqin Liu may publish in the future.
Co-authorship network of co-authors of Shiqin Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shiqin Liu. A scholar is included among the top collaborators of Shiqin 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 Shiqin Liu. Shiqin 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 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 28 | |
| 8 | 36 | |
| 9 | 45 | |
| 10 | 2 | |
| 11 | 43 | |
| 12 | 14 | |
| 13 | 19 | |
| 14 | 86 | |
| 15 | 19 | |
| 16 | 50 | |
| 17 | 28 | |
| 18 | 2 | |
| 19 | Improvement of genetic algorithm of TSP | 0 |
| 20 | 8 |
About Shiqin Liu
Shiqin Liu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (19 papers), Chaos control and synchronization (19 papers) and Optical Network Technologies (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (307 citations), Computer Networks and Communications (279 citations) and Artificial Intelligence (332 citations). Shiqin Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Anke Zhao, Ning Jiang, Kun Qiu, Yiqun Zhang, Chenpeng Xue, Tanya Stoyanova, Kejing Zhang, Jianming Tang, Yajun Wang and Lu Chen. Their work appears in journals such as Blood, Scientific Reports and British Journal of Cancer.
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.