Chunyan Song
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience top 10%
- Polymers and Plastics top 10%
- Topics
- Advanced Memory and Neural Computing (7 papers)Image Retrieval and Classification Techniques (7 papers)Advanced Image Fusion Techniques (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionPolymers and PlasticsCellular and Molecular Neuroscience
- Journals
- Nano LettersACS NanoSmall
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Chunyan Song
27 papers receiving 712 citations
Peers
Comparison fields: 5 of 73
- Electrical and Electronic Engineering 368
- Computer Vision and Pattern Recognition 281
- Artificial Intelligence 143
- Cellular and Molecular Neuroscience 139
- Polymers and Plastics 113
Countries citing papers authored by Chunyan Song
This map shows the geographic impact of Chunyan 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 Chunyan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunyan Song more than expected).
Fields of papers citing papers by Chunyan Song
This network shows the impact of papers produced by Chunyan 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 Chunyan Song. The network helps show where Chunyan Song may publish in the future.
Co-authorship network of co-authors of Chunyan Song
This figure shows the co-authorship network connecting the top 25 collaborators of Chunyan Song. A scholar is included among the top collaborators of Chunyan 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 Chunyan Song. Chunyan 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 | 0 | |
| 4 | 19 | |
| 5 | 36 | |
| 6 | 43 | |
| 7 | 20 | |
| 8 | 138 | |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 114 | |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | A Rear Vehicle Location Algorithm for Lane Change Assist | 2 |
| 19 | 7 | |
| 20 | 12 |
About Chunyan Song
Chunyan Song is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 739 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Image Fusion Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (281 citations), Polymers and Plastics (113 citations) and Cellular and Molecular Neuroscience (139 citations). Chunyan Song has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yulong Qiao, Xingzhou Zhang, Huihui Ren, Kun Liang, Bowen Zhu, Dingwei Li, Yingjie Tang, Yitong Chen, Hong Wang and Fanfan Li. Their work appears in journals such as Nano Letters, ACS Nano and Small.
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.