Songlin Yan

6 papers and 358 indexed citations
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About

Songlin Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Songlin Yan has authored 6 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Ophthalmology. Recurrent topics in Songlin Yan’s work include Retinal Imaging and Analysis (2 papers), Digital Imaging for Blood Diseases (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Songlin Yan is often cited by papers focused on Retinal Imaging and Analysis (2 papers), Digital Imaging for Blood Diseases (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Songlin Yan collaborates with scholars based in China. Songlin Yan's co-authors include Xi Li, Dongliang Cheng, Lin‐Feng Yan, Yu Han, Jin Zhang, Peng Liu, Yang Yang, Di Zhao, Chaocan Zhang and Bo Hu and has published in prestigious journals such as The Journal of Organic Chemistry, Analytica Chimica Acta and Frontiers in Neuroscience.

In The Last Decade

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.

Fields of papers citing papers by Songlin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Songlin Yan

Since Specialization
Citations

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).

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.

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2026