Feng-Lin Li

19 papers and 105 indexed citations i.

About

Feng-Lin Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Feng-Lin Li has authored 19 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Feng-Lin Li’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Advanced Software Engineering Methodologies (3 papers). Feng-Lin Li is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Advanced Software Engineering Methodologies (3 papers). Feng-Lin Li collaborates with scholars based in China, Italy and United States. Feng-Lin Li's co-authors include Jennifer Horkoff, John Mylopoulos, Qing Li, Mattia Salnitri, Pu Jia, Paolo Giorgini, Tong Li, Yutao Wang, Lin Liu and Jintian Li and has published in prestigious journals such as Frontiers in Microbiology, IEEE Access and Materials.

In The Last Decade

Co-authorship network of co-authors of Feng-Lin Li i

Fields of papers citing papers by Feng-Lin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng-Lin Li

Since Specialization
Citations

This map shows the geographic impact of Feng-Lin Li'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 Feng-Lin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng-Lin Li 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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2025