Meili Tang

20 papers and 707 indexed citations i.

About

Meili Tang is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Meili Tang has authored 20 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Meili Tang’s work include Complex Network Analysis Techniques (6 papers), Advanced Graph Neural Networks (4 papers) and Opinion Dynamics and Social Influence (4 papers). Meili Tang is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Advanced Graph Neural Networks (4 papers) and Opinion Dynamics and Social Influence (4 papers). Meili Tang collaborates with scholars based in China, Saudi Arabia and France. Meili Tang's co-authors include Tinghuai Ma, Mznah Al‐Rodhaan, Abdullah Al‐Dhelaan, Yuan Tian, Yuan Tian, Abdullah Al‐Dhelaan, Jie Cao, Jie Cao, Huan Rong and Wei Tian and has published in prestigious journals such as IEEE Access, International Journal of Environmental Research and Public Health and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Meili Tang i

Fields of papers citing papers by Meili Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meili Tang

Since Specialization
Citations

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