Cui Ming

About

Cui Ming is a scholar working on Information Systems, Building and Construction and Signal Processing. According to data from OpenAlex, Cui Ming has authored 7 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 2 papers in Building and Construction and 2 papers in Signal Processing. Recurrent topics in Cui Ming’s work include Traffic Prediction and Management Techniques (2 papers), Data Management and Algorithms (2 papers) and Open Education and E-Learning (1 paper). Cui Ming is often cited by papers focused on Traffic Prediction and Management Techniques (2 papers), Data Management and Algorithms (2 papers) and Open Education and E-Learning (1 paper). Cui Ming collaborates with scholars based in China and United States. Cui Ming's co-authors include Weina Hua, Xuelian Pan, Erjia Yan, Yun Long, Yining Gao, Wei Liu, Xia Li, Huimin Qi and Chunyan Yang and has published in prestigious journals such as Journal of Informetrics, Applied Mechanics and Materials and General Psychiatry.

In The Last Decade

Co-authorship network of co-authors of Cui Ming i

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Fields of papers citing papers by Cui Ming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cui Ming

Since Specialization

Citations

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