Sheng Ma

30 papers and 546 indexed citations i.

About

Sheng Ma is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sheng Ma has authored 30 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sheng Ma’s work include Data Mining Algorithms and Applications (8 papers), Neural Networks and Applications (7 papers) and Machine Learning and Algorithms (5 papers). Sheng Ma is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Neural Networks and Applications (7 papers) and Machine Learning and Algorithms (5 papers). Sheng Ma collaborates with scholars based in United States, China and Pakistan. Sheng Ma's co-authors include Chuanyi Ji, Bojun Yan, Muna Al‐Razgan, Dimitrios Gunopulos, Carlotta Domeniconi, Dimitris Papadopoulos, Irina Rish, Joseph L. Hellerstein, Hui Xiong and Mitsunori Ogihara and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.

In The Last Decade

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

Fields of papers citing papers by Sheng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheng Ma

Since Specialization
Citations

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