Long Ma

66 papers and 668 indexed citations i.

About

Long Ma is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Long Ma has authored 66 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 22 papers in Mechanical Engineering and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Long Ma’s work include Optical measurement and interference techniques (18 papers), Advanced Measurement and Metrology Techniques (14 papers) and Advancements in Photolithography Techniques (7 papers). Long Ma is often cited by papers focused on Optical measurement and interference techniques (18 papers), Advanced Measurement and Metrology Techniques (14 papers) and Advancements in Photolithography Techniques (7 papers). Long Ma collaborates with scholars based in China, Japan and United States. Long Ma's co-authors include Shuwen Chen, Xia Cao, M. Willander, Zhong Lin Wang, Ning Wang, Jie Yang, Hui Zhu, Nan Wu, Zisheng Xu and Shizhe Lin and has published in prestigious journals such as Analytical Biochemistry, Advanced Energy Materials and ACS Applied Materials & Interfaces.

In The Last Decade

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

Fields of papers citing papers by Long Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Ma

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025