Qiankun Song
- Computer Networks and Communications top 0.1%
- Statistical and Nonlinear Physics top 0.1%
- Artificial Intelligence top 0.2%
- Electrical and Electronic Engineering top 2%
- Control and Systems Engineering top 0.5%
- Co-authors
- Zhenjiang ZhaoJinde CaoYurong LiuXiaofeng ChenZidong WangFuad E. AlsaadiXujun YangTingwen Huang
- Topics
- Neural Networks Stability and Synchronization (132 papers)Neural Networks and Applications (71 papers)Advanced Memory and Neural Computing (39 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsModeling and Simulation
- Journals
- SHILAP Revista de lepidopterologíaApplied EnergyIEEE Access
- Partner nations
- ChinaSaudi ArabiaQatar
In The Last Decade
Qiankun Song
159 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 6.1k
- Statistical and Nonlinear Physics 2.8k
- Artificial Intelligence 2.7k
- Electrical and Electronic Engineering 1.8k
- Control and Systems Engineering 1.3k
Countries citing papers authored by Qiankun Song
This map shows the geographic impact of Qiankun Song'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 Qiankun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiankun Song more than expected).
Fields of papers citing papers by Qiankun Song
This network shows the impact of papers produced by Qiankun Song. 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 Qiankun Song. The network helps show where Qiankun Song may publish in the future.
Co-authorship network of co-authors of Qiankun Song
This figure shows the co-authorship network connecting the top 25 collaborators of Qiankun Song. A scholar is included among the top collaborators of Qiankun Song 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 Qiankun Song. Qiankun Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 37 | |
| 8 | 15 | |
| 9 | 32 | |
| 10 | 18 | |
| 11 | 6 | |
| 12 | 18 | |
| 13 | 37 | |
| 14 | 23 | |
| 15 | 34 | |
| 16 | 27 | |
| 17 | 97 | |
| 18 | 3 | |
| 19 | 23 | |
| 20 | Behavior of impulsive fuzzy cellular neural networks with distributed delays | 8 |
About Qiankun Song
Qiankun Song is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 167 papers that have together received 7.0k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (132 papers), Neural Networks and Applications (71 papers) and Advanced Memory and Neural Computing (39 papers). The work is most often cited by research in Computer Networks and Communications (6.1k citations), Statistical and Nonlinear Physics (2.8k citations) and Modeling and Simulation (404 citations). Qiankun Song has collaborated with scholars based in China, Saudi Arabia and Qatar. Frequent co-authors include Zhenjiang Zhao, Jinde Cao, Yurong Liu, Xiaofeng Chen, Zidong Wang, Fuad E. Alsaadi, Xujun Yang, Tingwen Huang, Chuandong Li and Zhongshan Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Access.
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.