Hang Ma

50 papers and 1.2k indexed citations i.

About

Hang Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hang Ma has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 21 papers in Computer Networks and Communications. Recurrent topics in Hang Ma’s work include Robotic Path Planning Algorithms (39 papers), Optimization and Search Problems (14 papers) and Multi-Agent Systems and Negotiation (10 papers). Hang Ma is often cited by papers focused on Robotic Path Planning Algorithms (39 papers), Optimization and Search Problems (14 papers) and Multi-Agent Systems and Negotiation (10 papers). Hang Ma collaborates with scholars based in United States, Canada and Israel. Hang Ma's co-authors include Sven Koenig, T. K. Satish Kumar, Jiaoyang Li, Daniel Harabor, Peter J. Stuckey, Ariel Felner, Liron Cohen, Nora Ayanian, Jiaoyang Li and Eli Boyarski and has published in prestigious journals such as Artificial Intelligence, Reliability Engineering & System Safety and Frontiers in Public Health.

In The Last Decade

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

Fields of papers citing papers by Hang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hang Ma

Since Specialization
Citations

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