Junqi Yin

52 papers and 996 indexed citations i.

About

Junqi Yin is a scholar working on Mechanical Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Junqi Yin has authored 52 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 12 papers in Materials Chemistry and 10 papers in Artificial Intelligence. Recurrent topics in Junqi Yin’s work include High Entropy Alloys Studies (11 papers), Machine Learning in Materials Science (9 papers) and High-Temperature Coating Behaviors (6 papers). Junqi Yin is often cited by papers focused on High Entropy Alloys Studies (11 papers), Machine Learning in Materials Science (9 papers) and High-Temperature Coating Behaviors (6 papers). Junqi Yin collaborates with scholars based in United States, Germany and United Kingdom. Junqi Yin's co-authors include Zongrui Pei, Joshua Ladau, Karen G. Lloyd, Andrew D. Steen, Lonnie D. Crosby, D. P. Landau, Markus Eisenbach, Michael C. Gao, Jeffrey A. Hawk and David E. Alman and has published in prestigious journals such as The Journal of Chemical Physics, Nature Communications and Journal of Applied Physics.

In The Last Decade

Co-authorship network of co-authors of Junqi Yin i

Fields of papers citing papers by Junqi Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Junqi Yin

Since Specialization
Citations

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