Gengxin Miao

About

Gengxin Miao is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Gengxin Miao has authored 2 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Management Science and Operations Research. Recurrent topics in Gengxin Miao’s work include Topic Modeling (2 papers), Data Quality and Management (1 paper) and Web Data Mining and Analysis (1 paper). Gengxin Miao is often cited by papers focused on Topic Modeling (2 papers), Data Quality and Management (1 paper) and Web Data Mining and Analysis (1 paper). Gengxin Miao collaborates with scholars based in United States and China. Gengxin Miao's co-authors include Marius Paşca, Jayant Madhavan, Petros Venetis, Warren Shen, Fei Wu, Alon Halevy, Ziyu Guan, Deng Cai, R. G. McLoughlin and Xifeng Yan and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Co-authorship network of co-authors of Gengxin Miao i

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Fields of papers citing papers by Gengxin Miao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gengxin Miao

Since Specialization

Citations

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