Min Meng

37 papers and 497 indexed citations i.

About

Min Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Min Meng has authored 37 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Min Meng’s work include Multimodal Machine Learning Applications (16 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Min Meng is often cited by papers focused on Multimodal Machine Learning Applications (16 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Min Meng collaborates with scholars based in China, Hong Kong and United States. Min Meng's co-authors include Jigang Wu, Jun Yu, Erwin M. Wouterson, Weijun Sun, Hui Chen, Xiaoyu Zhan, Dapeng Tao, Zhihao Peng, Haitao Wang and Ligang Liu and has published in prestigious journals such as IEEE Transactions on Image Processing, Information Sciences and Pattern Recognition.

In The Last Decade

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

Fields of papers citing papers by Min Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Meng

Since Specialization
Citations

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