Mengyue Geng

531 citations
9 papers · 205 indexed · h-index 5
Topics
Advanced Image Fusion Techniques (3 papers)CCD and CMOS Imaging Sensors (2 papers)Video Surveillance and Tracking Methods (2 papers)
Journals
IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionProceedings of the AAAI Conference on Artificial Intelligence
Partner nations
ChinaUnited Kingdom

In The Last Decade

Mengyue Geng

9 papers receiving 204 citations

Peers

Mengyue Geng
Comparison fields: 5 of 32
  • Computer Vision and Pattern Recognition 189
  • Signal Processing 53
  • Biomedical Engineering 32
  • Artificial Intelligence 16
  • Media Technology 11
Replace Qiqi Hou with:
Qiqi Hou China
Fu-En Yang Taiwan
Ya-Liang Chang Taiwan
Shengju Qian Hong Kong
Alexandros Lattas United Kingdom
Shivanand S. Gornale India
Klemen Grm Slovenia
Kangkai Zhang China
Abdelkrim Ouafi Algeria
Jeongin Seo South Korea
Mengyue Geng relative to Qiqi Hou China Qiqi Hou's profile →
Citations per field
00.5×2.7×
Qiqi Hou · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Mengyue Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Mengyue Geng. A scholar is included among the top collaborators of Mengyue Geng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mengyue Geng. Mengyue Geng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 5
3 2
4 1
5 3
6 47
7 67
8 73
9 6

About Mengyue Geng

Mengyue Geng is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 9 papers that have together received 205 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (3 papers), CCD and CMOS Imaging Sensors (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Signal Processing (53 citations) and Media Technology (11 citations). Mengyue Geng has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Yonghong Tian, Peixi Peng, Yaowei Wang, Ke Yan, Tao Xiang, Yemin Shi, Hao Chen, Tiejun Huang, Lin Zhu and Guangyao Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Proceedings of the AAAI Conference on Artificial Intelligence.

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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