Weiyi Meng

About

Weiyi Meng is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Weiyi Meng has authored 78 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Information Systems, 44 papers in Artificial Intelligence and 33 papers in Computer Networks and Communications. Recurrent topics in Weiyi Meng’s work include Web Data Mining and Analysis (41 papers), Topic Modeling (19 papers) and Data Management and Algorithms (16 papers). Weiyi Meng is often cited by papers focused on Web Data Mining and Analysis (41 papers), Topic Modeling (19 papers) and Data Management and Algorithms (16 papers). Weiyi Meng collaborates with scholars based in United States, China and United Kingdom. Weiyi Meng's co-authors include Clement Yu, King-Lup Liu, Zonghuan Wu, Eduard Dragut, Abdur Chowdhury, Fang Liu, Hongkun Zhao, Xiaofeng Meng, Wei Liu and Shuang Liu and has published in prestigious journals such as Information Sciences, ACM Computing Surveys and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Weiyi Meng i

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Fields of papers citing papers by Weiyi Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weiyi Meng

Since Specialization

Citations

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