Beibin Li

17 papers and 94 indexed citations i.

About

Beibin Li is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Oncology. According to data from OpenAlex, Beibin Li has authored 17 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Cognitive Neuroscience and 4 papers in Oncology. Recurrent topics in Beibin Li’s work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Autism Spectrum Disorder Research (4 papers). Beibin Li is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Autism Spectrum Disorder Research (4 papers). Beibin Li collaborates with scholars based in United States, Iran and China. Beibin Li's co-authors include Linda G. Shapiro, Pamela Ventola, Frederick Shic, Sachin Mehta, Deepali Aneja, Joann G. Elmore, Stevan R. Knezevich, Srikanth Kandula, Mojgan Mokhtari and Oliver Chang and has published in prestigious journals such as Frontiers in Psychology, Frontiers in Neuroscience and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Beibin Li i

Fields of papers citing papers by Beibin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Beibin Li

Since Specialization
Citations

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