Meng Fang

70 papers and 1.1k indexed citations i.

About

Meng Fang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Meng Fang has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Meng Fang’s work include Topic Modeling (23 papers), Natural Language Processing Techniques (16 papers) and Machine Learning and Algorithms (12 papers). Meng Fang is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (16 papers) and Machine Learning and Algorithms (12 papers). Meng Fang collaborates with scholars based in China, Australia and United Kingdom. Meng Fang's co-authors include Trevor Cohn, Yuan Li, Dacheng Tao, Yali Du, Xingquan Zhu, Jie Yin, Joey Tianyi Zhou, Dacheng Tao, Chengqi Zhang and Stephen J. Maybank and has published in prestigious journals such as BMC Genomics, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

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

Fields of papers citing papers by Meng Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meng Fang

Since Specialization
Citations

This map shows the geographic impact of Meng Fang'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 Meng Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Fang 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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2025