Longlong Ma

25 papers and 453 indexed citations i.

About

Longlong Ma is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Longlong Ma has authored 25 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Longlong Ma’s work include Handwritten Text Recognition Techniques (7 papers), Catalysis for Biomass Conversion (7 papers) and Image Retrieval and Classification Techniques (6 papers). Longlong Ma is often cited by papers focused on Handwritten Text Recognition Techniques (7 papers), Catalysis for Biomass Conversion (7 papers) and Image Retrieval and Classification Techniques (6 papers). Longlong Ma collaborates with scholars based in China, United States and Japan. Longlong Ma's co-authors include Qi Zhang, Qiying Liu, Chenguang Wang, Qiying Liu, Jin Tan, Xinghua Zhang, Wang Gui, Ning Shi, Ni Chen and Dan Li and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Green Chemistry.

In The Last Decade

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

Fields of papers citing papers by Longlong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Longlong Ma

Since Specialization
Citations

This map shows the geographic impact of Longlong 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 Longlong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longlong 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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2025