Ying‐Pin Chen

9 papers and 883 indexed citations i.

About

Ying‐Pin Chen is a scholar working on Materials Chemistry, Inorganic Chemistry and Process Chemistry and Technology. According to data from OpenAlex, Ying‐Pin Chen has authored 9 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Inorganic Chemistry and 3 papers in Process Chemistry and Technology. Recurrent topics in Ying‐Pin Chen’s work include Metal-Organic Frameworks: Synthesis and Applications (7 papers), Carbon dioxide utilization in catalysis (3 papers) and Machine Learning in Materials Science (3 papers). Ying‐Pin Chen is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (7 papers), Carbon dioxide utilization in catalysis (3 papers) and Machine Learning in Materials Science (3 papers). Ying‐Pin Chen collaborates with scholars based in United States and South Korea. Ying‐Pin Chen's co-authors include Hong‐Cai Zhou, Jinhee Park, Lin‐Bing Sun, Zachary Perry, Kecheng Wang, Dawei Feng, Mathieu Bosch, Muwei Zhang, Zhiyong U. Wang and Shuai Yuan and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Materials and ChemSusChem.

In The Last Decade

Co-authorship network of co-authors of Ying‐Pin Chen i

Fields of papers citing papers by Ying‐Pin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying‐Pin Chen

Since Specialization
Citations

This map shows the geographic impact of Ying‐Pin 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 Ying‐Pin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Pin 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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2025