Songlin Yan
- Neurology top 5%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Electrochemistry top 10%
- Co-authors
- Yu‐Chuan HuBo HuXin ZhangDi ZhaoJin ZhangXiangwei GeLin‐Feng YanGuangbin Cui
- Topics
- Retinal Imaging and Analysis (3 papers)Digital Imaging for Blood Diseases (3 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)
- Partner nations
- China
In The Last Decade
Songlin Yan
6 papers receiving 380 citations
Peers
Comparison fields: 5 of 64
- Neurology 136
- Electrical and Electronic Engineering 109
- Radiology, Nuclear Medicine and Imaging 104
- Computer Vision and Pattern Recognition 103
- Electrochemistry 82
Countries citing papers authored by Songlin Yan
This map shows the geographic impact of Songlin Yan'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 Songlin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songlin Yan more than expected).
Fields of papers citing papers by Songlin Yan
This network shows the impact of papers produced by Songlin Yan. 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 Songlin Yan. The network helps show where Songlin Yan may publish in the future.
Co-authorship network of co-authors of Songlin Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Songlin Yan. A scholar is included among the top collaborators of Songlin Yan 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 Songlin Yan. Songlin Yan 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 | 3 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 31 | |
| 7 | 210 | |
| 8 | 144 |
About Songlin Yan
Songlin Yan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Pharmaceutical Science, having authored 8 papers that have together received 393 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (3 papers), Digital Imaging for Blood Diseases (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Neurology (136 citations), Electrochemistry (82 citations) and Bioengineering (33 citations). Songlin Yan has collaborated with scholars based in China. Frequent co-authors include Yu‐Chuan Hu, Bo Hu, Xin Zhang, Di Zhao, Jin Zhang, Xiangwei Ge, Lin‐Feng Yan, Guangbin Cui, Hai‐Yan Nan and Dongliang Cheng. Their work appears in journals such as The Journal of Organic Chemistry, Analytica Chimica Acta and Frontiers in Neuroscience.
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.