Pay‐Liam Lin

64 papers and 1.2k indexed citations i.

About

Pay‐Liam Lin is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Pay‐Liam Lin has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Atmospheric Science, 43 papers in Global and Planetary Change and 9 papers in Oceanography. Recurrent topics in Pay‐Liam Lin’s work include Meteorological Phenomena and Simulations (49 papers), Climate variability and models (32 papers) and Precipitation Measurement and Analysis (29 papers). Pay‐Liam Lin is often cited by papers focused on Meteorological Phenomena and Simulations (49 papers), Climate variability and models (32 papers) and Precipitation Measurement and Analysis (29 papers). Pay‐Liam Lin collaborates with scholars based in Taiwan, United States and India. Pay‐Liam Lin's co-authors include Balaji Kumar Seela, Jayalakshmi Janapati, Wei‐Yu Chang, Pao K. Wang, Yi-Leng Chen, K. Krishna Reddy, Wan‐Chin Chen, Ryuichi Shirooka, Tang-Huang Lin and Fang-Yi Cheng and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Pay‐Liam Lin i

Fields of papers citing papers by Pay‐Liam Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pay‐Liam Lin

Since Specialization
Citations

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