Pin-An Chen

8 papers and 509 indexed citations i.

About

Pin-An Chen is a scholar working on Environmental Engineering, Water Science and Technology and Artificial Intelligence. According to data from OpenAlex, Pin-An Chen has authored 8 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 4 papers in Water Science and Technology and 2 papers in Artificial Intelligence. Recurrent topics in Pin-An Chen’s work include Hydrological Forecasting Using AI (7 papers), Water Quality and Pollution Assessment (3 papers) and Flood Risk Assessment and Management (2 papers). Pin-An Chen is often cited by papers focused on Hydrological Forecasting Using AI (7 papers), Water Quality and Pollution Assessment (3 papers) and Flood Risk Assessment and Management (2 papers). Pin-An Chen collaborates with scholars based in Taiwan, France and Singapore. Pin-An Chen's co-authors include Fi‐John Chang, Li‐Chiu Chang, Eric Yi‐Hsiu Huang, Yu-Hsuan Tsai, Alexandra Coynel, G. Vachaud, Chen‐Wuing Liu, Tianchi Liu, Guang-Bin Huang and Chamara Kasun Liyanaarachchi Lekamalage and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and IEEE Transactions on Industrial Electronics.

In The Last Decade

Co-authorship network of co-authors of Pin-An Chen i

Fields of papers citing papers by Pin-An Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pin-An Chen. 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 Pin-An Chen. The network helps show where Pin-An Chen may publish in the future.

Countries citing papers authored by Pin-An Chen

Since Specialization
Citations

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