Mengyue Geng

531 total citations
9 papers, 205 citations indexed

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 9 papers receiving a total of 205 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), CCD and CMOS Imaging Sensors (2 papers) and Video Surveillance and Tracking Methods (2 papers). Mengyue Geng is often cited by papers focused on Advanced Image Fusion Techniques (3 papers), CCD and CMOS Imaging Sensors (2 papers) and Video Surveillance and Tracking Methods (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, Yemin Shi, Ke Yan, Tao Xiang, Hao Chen, Tiejun Huang, Lizhi Wang and Ruiqin Xiong and has published in prestigious 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.

In The Last Decade

Mengyue Geng

9 papers receiving 204 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mengyue Geng China	5	189	53	32	16	11	9	205
Qiqi Hou China	7	226 1.2×	35 0.7×	35 1.1×	15 0.9×	22 2.0×	9	236
Ya-Liang Chang Taiwan	5	206 1.1×	27 0.5×	7 0.2×	35 2.2×	10 0.9×	7	233
Shengju Qian Hong Kong	5	170 0.9×	20 0.4×	25 0.8×	45 2.8×	17 1.5×	8	190
Alexandros Lattas United Kingdom	7	129 0.7×	26 0.5×	13 0.4×	19 1.2×	6 0.5×	13	164
Fu-En Yang Taiwan	9	188 1.0×	40 0.8×	32 1.0×	78 4.9×	5 0.5×	13	229
Klemen Grm Slovenia	5	135 0.7×	64 1.2×	5 0.2×	31 1.9×	8 0.7×	7	181
Shivanand S. Gornale India	8	111 0.6×	68 1.3×	35 1.1×	25 1.6×	16 1.5×	42	231
Kangkai Zhang China	5	83 0.4×	11 0.2×	18 0.6×	41 2.6×	8 0.7×	6	124
Abdelkrim Ouafi Algeria	8	122 0.6×	45 0.8×	7 0.2×	19 1.2×	17 1.5×	28	160
Igor Barros Barbosa Norway	4	127 0.7×	16 0.3×	47 1.5×	19 1.2×	2 0.2×	7	149

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

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9 of 9 papers shown

1.

Geng, Mengyue, Lizhi Wang, Lin Zhu, et al.. (2024). Event-Enhanced Snapshot Mosaic Hyperspectral Frame Deblurring. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 206–223. 1 indexed citations

2.

Chen, Guangyao, et al.. (2024). Adaptive Discovering and Merging for Incremental Novel Class Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11276–11284. 5 indexed citations

3.

Geng, Mengyue, Lin Zhu, Lizhi Wang, et al.. (2024). Event-Based Visible and Infrared Fusion via Multi-Task Collaboration. 26919–26929. 2 indexed citations

4.

Geng, Mengyue, Lizhi Wang, Lin Zhu, et al.. (2024). Towards Ultra High-Speed Hyperspectral Imaging by Integrating Compressive and Neuromorphic Sampling. International Journal of Computer Vision. 133(4). 1587–1610. 1 indexed citations

5.

Zhu, Lin, et al.. (2023). Recurrent Spike-based Image Restoration under General Illumination. 8251–8260. 3 indexed citations

6.

Peng, Peixi, et al.. (2020). Masked Face Recognition with Latent Part Detection. 2281–2289. 67 indexed citations

7.

Geng, Mengyue, et al.. (2020). Masked Face Recognition with Generative Data Augmentation and Domain Constrained Ranking. 2246–2254. 47 indexed citations

8.

Chen, Hao, Yaowei Wang, Yemin Shi, et al.. (2018). Deep Transfer Learning for Person Re-Identification. 1–5. 73 indexed citations

9.

Geng, Mengyue, Yaowei Wang, Yonghong Tian, & Tiejun Huang. (2016). CNUSVM: Hybrid CNN-Uneven SVM Model for Imbalanced Visual Learning. 186–193. 6 indexed citations

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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