Sheng-Chieh Lin

27 papers and 436 indexed citations i.

About

Sheng-Chieh Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Astronomy and Astrophysics. According to data from OpenAlex, Sheng-Chieh Lin has authored 27 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Astronomy and Astrophysics. Recurrent topics in Sheng-Chieh Lin’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Sheng-Chieh Lin is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Sheng-Chieh Lin collaborates with scholars based in Taiwan, Canada and United States. Sheng-Chieh Lin's co-authors include Jimmy Lin, Jheng-Hong Yang, Sebastian Hofstätter, Allan Hanbury, Rodrigo Nogueira, Xueguang Ma, Ronak Pradeep, Sanghun Choi, Shin‐Tson Wu and Ruidong Zhu and has published in prestigious journals such as The Astrophysical Journal, Optics Express and Publications of the Astronomical Society of Japan.

In The Last Decade

Co-authorship network of co-authors of Sheng-Chieh Lin i

Fields of papers citing papers by Sheng-Chieh Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheng-Chieh Lin

Since Specialization
Citations

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

Rankless by CCL
2025