Songnan Lin

About

Songnan Lin is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Songnan Lin has authored 12 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Songnan Lin’s work include Advanced Image Processing Techniques (5 papers), Video Analysis and Summarization (2 papers) and Advanced Vision and Imaging (2 papers). Songnan Lin is often cited by papers focused on Advanced Image Processing Techniques (5 papers), Video Analysis and Summarization (2 papers) and Advanced Vision and Imaging (2 papers). Songnan Lin collaborates with scholars based in China, Singapore and Taiwan. Songnan Lin's co-authors include Diganta Saikia, Y. W. Chen-Yang, Y.T. Chen, Jiawei Zhang, Jimmy Ren, Liang Chen, Faming Fang, Jinshan Pan, Lei Wang and Heung‐Yeung Shum and has published in prestigious journals such as Electrochimica Acta, Desalination and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Songnan Lin i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Songnan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Songnan Lin. 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 Songnan Lin. The network helps show where Songnan Lin may publish in the future.

Countries citing papers authored by Songnan Lin

Since Specialization

Citations

This map shows the geographic impact of Songnan Lin'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 Songnan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songnan Lin 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.

Explore authors with similar magnitude of impact