Na Mou

About

Na Mou is a scholar working on Information Systems, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Na Mou has authored 4 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 1 paper in Sociology and Political Science and 1 paper in Artificial Intelligence. Recurrent topics in Na Mou’s work include Recommender Systems and Techniques (3 papers), Digital Marketing and Social Media (1 paper) and Advanced Data Compression Techniques (1 paper). Na Mou is often cited by papers focused on Recommender Systems and Techniques (3 papers), Digital Marketing and Social Media (1 paper) and Advanced Data Compression Techniques (1 paper). Na Mou collaborates with scholars based in China and United States. Na Mou's co-authors include Kun Gai, Chang Zhou, Ying Fan, Xiaoqiang Zhu, Weijie Bian, Guorui Zhou, Yang Song, Hongning Wang, Jianchao Tan and Yanan Niu and has published in prestigious journals such as Applied Mechanics and Materials, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Na Mou i

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Fields of papers citing papers by Na Mou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Na Mou

Since Specialization

Citations

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