Yinglei Song
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Spectroscopy
- Co-authors
- Khaled RasheedDongsheng CheLiming CaiYing XuChunmei LiuRussell L. MalmbergBo YanXiuzhen Huang
- Topics
- RNA and protein synthesis mechanisms (11 papers)Advanced Steganography and Watermarking Techniques (8 papers)Genomics and Chromatin Dynamics (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yinglei Song
52 papers receiving 292 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 140
- Computer Vision and Pattern Recognition 97
- Artificial Intelligence 76
- Computational Theory and Mathematics 41
- Spectroscopy 37
Countries citing papers authored by Yinglei Song
This map shows the geographic impact of Yinglei 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 Yinglei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinglei Song more than expected).
Fields of papers citing papers by Yinglei Song
This network shows the impact of papers produced by Yinglei 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 Yinglei Song. The network helps show where Yinglei Song may publish in the future.
Co-authorship network of co-authors of Yinglei Song
This figure shows the co-authorship network connecting the top 25 collaborators of Yinglei Song. A scholar is included among the top collaborators of Yinglei 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 Yinglei Song. Yinglei 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 35 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | Knowledge Retrieval in Financial Domain. | 1 |
| 17 | Time Series Similarity Matching with a New Distance Measure. | 1 |
| 18 | 2 | |
| 19 | 19 | |
| 20 | 22 |
About Yinglei Song
Yinglei Song is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Development, having authored 61 papers that have together received 303 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Genomics and Chromatin Dynamics (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (97 citations), Computational Theory and Mathematics (41 citations) and Artificial Intelligence (76 citations). Yinglei Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Khaled Rasheed, Dongsheng Che, Liming Cai, Ying Xu, Chunmei Liu, Russell L. Malmberg, Bo Yan, Xiuzhen Huang, Guoliang Li and Zhiyu Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.