Qing Song
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Co-authors
- Xulei YangYeng Chai SohSumit Bam ShresthaYue WangKang SimXiaofan WangZhimin WangChengjin Zhang
- Topics
- Neural Networks and Applications (16 papers)Blind Source Separation Techniques (10 papers)Data Management and Algorithms (10 papers)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Qing Song
68 papers receiving 993 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 392
- Computer Vision and Pattern Recognition 354
- Control and Systems Engineering 147
- Signal Processing 143
- Electrical and Electronic Engineering 134
Countries citing papers authored by Qing Song
This map shows the geographic impact of Qing 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 Qing Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Song more than expected).
Fields of papers citing papers by Qing Song
This network shows the impact of papers produced by Qing 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 Qing Song. The network helps show where Qing Song may publish in the future.
Co-authorship network of co-authors of Qing Song
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Song. A scholar is included among the top collaborators of Qing 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 Qing Song. Qing 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 29 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 7 | |
| 9 | 26 | |
| 10 | 37 | |
| 11 | 7 | |
| 12 | A training algorithm and stability analysis for recurrent neural networks | 1 |
| 13 | 1 | |
| 14 | An efficient route computation approach for large graphs | 2 |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 65 | |
| 18 | 4 | |
| 19 | 20 | |
| 20 | THERMAL CONDUCTIVITY MEASUREMENT TECHNOLOGY OF MICROSCALE THIN FILM | 1 |
About Qing Song
Qing Song is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (16 papers), Blind Source Separation Techniques (10 papers) and Data Management and Algorithms (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (354 citations), Signal Processing (143 citations) and Artificial Intelligence (392 citations). Qing Song has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Xulei Yang, Yeng Chai Soh, Sumit Bam Shrestha, Yue Wang, Kang Sim, Xiaofan Wang, Zhimin Wang, Chengjin Zhang, Rui Gao and Runtao Yang. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and BMC Bioinformatics.
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.