Liqing Liu
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Information Systems top 5%
- Modeling and Simulation top 1%
- Cognitive Neuroscience top 10%
- Co-authors
- Xijuan GuoZheng ChangTapani RistaniemiShiwen MaoYiming ChenYannan SunBaofeng LiQuan Sheng
- Topics
- Functional Brain Connectivity Studies (10 papers)IoT and Edge/Fog Computing (9 papers)Neural dynamics and brain function (6 papers)
In The Last Decade
Liqing Liu
40 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Networks and Communications 767
- Electrical and Electronic Engineering 408
- Information Systems 252
- Modeling and Simulation 214
- Cognitive Neuroscience 180
Countries citing papers authored by Liqing Liu
This map shows the geographic impact of Liqing 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 Liqing Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liqing Liu more than expected).
Fields of papers citing papers by Liqing Liu
This network shows the impact of papers produced by Liqing 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 Liqing Liu. The network helps show where Liqing Liu may publish in the future.
Co-authorship network of co-authors of Liqing Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Liqing Liu. A scholar is included among the top collaborators of Liqing 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 Liqing Liu. Liqing 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 | 17 | |
| 2 | 28 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 122 | |
| 6 | 122 | |
| 7 | 68 | |
| 8 | 51 | |
| 9 | 15 | |
| 10 | Multiobjective Optimization for Computation Offloading in Fog Computingbreakdown → | 406 |
| 11 | 18 | |
| 12 | 47 | |
| 13 | 33 | |
| 14 | 56 | |
| 15 | 9 | |
| 16 | 17 | |
| 17 | 9 | |
| 18 | The Application of Grey Comprehensive Evaluation Model in the Sports Industry Research | 1 |
| 19 | Clinical Efficacy Analysis of Ginkgo-dipyidamolum Injection in the Treatment of Chronic Pulmonary Heart Diseases | 1 |
| 20 | The Effectiveness of Teaching and Learning in University's Classroom | 1 |
About Liqing Liu
Liqing Liu is a scholar working on Modeling and Simulation, Cognitive Neuroscience and Numerical Analysis, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), IoT and Edge/Fog Computing (9 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Modeling and Simulation (214 citations), Computer Networks and Communications (767 citations) and Numerical Analysis (126 citations). Liqing Liu has collaborated with scholars based in China, Finland and Japan. Frequent co-authors include Xijuan Guo, Zheng Chang, Tapani Ristaniemi, Shiwen Mao, Yiming Chen, Yannan Sun, Baofeng Li, Quan Sheng, Haiyan Zhou and Gang Wang. Their work appears in journals such as Molecular Cell, Scientific Reports and Cerebral Cortex.
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.