Gen Long

About

Gen Long is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Gen Long has authored 30 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Materials Chemistry, 13 papers in Electrical and Electronic Engineering and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Gen Long’s work include 2D Materials and Applications (23 papers), Graphene research and applications (19 papers) and MXene and MAX Phase Materials (11 papers). Gen Long is often cited by papers focused on 2D Materials and Applications (23 papers), Graphene research and applications (19 papers) and MXene and MAX Phase Materials (11 papers). Gen Long collaborates with scholars based in Hong Kong, China and United States. Gen Long's co-authors include Ning Wang, Zefei Wu, Xinran Wang, Shuigang Xu, Yi Shi, Wei Ren, Jinlan Wang, Shijun Yuan, Qian Chen and Zilu Wang and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nano Letters.

In The Last Decade

Co-authorship network of co-authors of Gen Long i

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Fields of papers citing papers by Gen Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gen Long

Since Specialization

Citations

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