Nan Lin

10 papers and 527 indexed citations i.

About

Nan Lin is a scholar working on Artificial Intelligence, Ecology and Statistics and Probability. According to data from OpenAlex, Nan Lin has authored 10 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Ecology and 3 papers in Statistics and Probability. Recurrent topics in Nan Lin’s work include Remote Sensing in Agriculture (2 papers), Statistical Methods and Inference (2 papers) and Neural Networks and Applications (1 paper). Nan Lin is often cited by papers focused on Remote Sensing in Agriculture (2 papers), Statistical Methods and Inference (2 papers) and Neural Networks and Applications (1 paper). Nan Lin collaborates with scholars based in United States and China. Nan Lin's co-authors include Qing Li, Ronald S. Burt, Peter V. Marsden, Mark S. Mizruchi, Carnot E. Nelson, Michael J. Minor, William D. Garvey, Ruibin Xi, Hanlin Liu and Delin Li and has published in prestigious journals such as Science, Contemporary Sociology A Journal of Reviews and Technometrics.

In The Last Decade

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

Fields of papers citing papers by Nan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nan Lin

Since Specialization
Citations

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

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2025