Mengyue Geng

About

Mengyue Geng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Mengyue Geng has authored 8 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Mengyue Geng’s work include Advanced Image Fusion Techniques (3 papers), Face recognition and analysis (2 papers) and CCD and CMOS Imaging Sensors (2 papers). Mengyue Geng is often cited by papers focused on Advanced Image Fusion Techniques (3 papers), Face recognition and analysis (2 papers) and CCD and CMOS Imaging Sensors (2 papers). Mengyue Geng collaborates with scholars based in China and United Kingdom. Mengyue Geng's co-authors include Yonghong Tian, Peixi Peng, Yaowei Wang, Ke Yan, Yemin Shi, Hao Chen, Tao Xiang, Guangyao Chen, Lin Zhu and Hua Huang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Mengyue Geng i

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Fields of papers citing papers by Mengyue Geng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mengyue Geng

Since Specialization

Citations

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