Pei‐Lin Kang

16 papers and 634 indexed citations i.

About

Pei‐Lin Kang is a scholar working on Materials Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Pei‐Lin Kang has authored 16 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 5 papers in Molecular Biology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Pei‐Lin Kang’s work include Machine Learning in Materials Science (12 papers), Computational Drug Discovery Methods (5 papers) and X-ray Diffraction in Crystallography (3 papers). Pei‐Lin Kang is often cited by papers focused on Machine Learning in Materials Science (12 papers), Computational Drug Discovery Methods (5 papers) and X-ray Diffraction in Crystallography (3 papers). Pei‐Lin Kang collaborates with scholars based in China, Italy and Portugal. Pei‐Lin Kang's co-authors include Zhi‐Pan Liu, Cheng Shang, Sida Huang, Yunfei Shi, Zhengxin Yang, Michele Parrinello, Sicong Ma, P. Hu, Yefei Li and Rui P. P. Neves and has published in prestigious journals such as Journal of the American Chemical Society, Accounts of Chemical Research and ACS Catalysis.

In The Last Decade

Co-authorship network of co-authors of Pei‐Lin Kang i

Fields of papers citing papers by Pei‐Lin Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pei‐Lin Kang

Since Specialization
Citations

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