Lin Ma

206 papers and 6.6k indexed citations i.

About

Lin Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Lin Ma has authored 206 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 25 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Lin Ma’s work include Image and Video Quality Assessment (33 papers), Multimodal Machine Learning Applications (31 papers) and Reliability and Maintenance Optimization (24 papers). Lin Ma is often cited by papers focused on Image and Video Quality Assessment (33 papers), Multimodal Machine Learning Applications (31 papers) and Reliability and Maintenance Optimization (24 papers). Lin Ma collaborates with scholars based in China, Australia and Hong Kong. Lin Ma's co-authors include Wei Liu, Joanna Sikorska, Melinda Hodkiewicz, King Ngi Ngan, Songnan Li, Wenhan Luo, Jingwen Wang, Wenhao Jiang, Zhangkai Ni and Zequn Jie and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and PLANT PHYSIOLOGY.

In The Last Decade

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

Fields of papers citing papers by Lin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Ma

Since Specialization
Citations

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

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