Meng Yang

9.6k total citations · 4 hit papers
123 papers, 5.8k citations indexed

About

Meng Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Meng Yang has authored 123 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Computer Vision and Pattern Recognition, 38 papers in Artificial Intelligence and 31 papers in Computational Mechanics. Recurrent topics in Meng Yang's work include Face and Expression Recognition (52 papers), Face recognition and analysis (32 papers) and Sparse and Compressive Sensing Techniques (29 papers). Meng Yang is often cited by papers focused on Face and Expression Recognition (52 papers), Face recognition and analysis (32 papers) and Sparse and Compressive Sensing Techniques (29 papers). Meng Yang collaborates with scholars based in China, Hong Kong and Australia. Meng Yang's co-authors include Lei Zhang, Xiangchu Feng, David Zhang, Jian Yang, Linlin Shen, Simon Shiu, Pengfei Zhu, Luc Van Gool, Lin Zhang and Wenfeng Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Meng Yang

115 papers receiving 5.6k citations

Hit Papers

Sparse representation or collaborative representation: Wh... 2011 2026 2016 2021 2011 2011 2011 2014 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Yang China 29 4.6k 1.5k 1.3k 1.2k 1.1k 123 5.8k
Ehsan Elhamifar United States 20 3.2k 0.7× 1.2k 0.8× 1.7k 1.3× 1.1k 0.9× 462 0.4× 50 4.4k
Junhui Hou Hong Kong 38 4.8k 1.1× 957 0.6× 657 0.5× 1.6k 1.3× 386 0.4× 207 6.4k
Qian Zhao China 34 3.4k 0.7× 911 0.6× 767 0.6× 1.9k 1.6× 253 0.2× 124 4.8k
Zhong Jin China 29 2.5k 0.5× 561 0.4× 752 0.6× 527 0.4× 606 0.6× 165 3.4k
Xiaoyang Tan China 21 3.6k 0.8× 444 0.3× 626 0.5× 717 0.6× 760 0.7× 79 4.5k
Quansen Sun China 37 3.8k 0.8× 298 0.2× 1.3k 1.0× 1.2k 1.0× 355 0.3× 266 5.0k
Changqing Zhang China 46 5.3k 1.2× 701 0.5× 3.4k 2.7× 1.3k 1.1× 323 0.3× 101 7.5k
Yuan Xie China 36 4.5k 1.0× 742 0.5× 1.2k 0.9× 1.3k 1.1× 199 0.2× 175 5.6k
Yuxiao Hu United States 19 3.4k 0.7× 530 0.3× 852 0.7× 623 0.5× 719 0.7× 56 4.0k
Ce Zhu China 46 5.2k 1.1× 785 0.5× 1.3k 1.0× 947 0.8× 2.2k 2.0× 328 7.2k

Countries citing papers authored by Meng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Meng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Yang. A scholar is included among the top collaborators of Meng Yang 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 Meng Yang. Meng Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
3.
Yang, Meng, et al.. (2025). An autonomous navigation method for field phenotyping robot based on ground-air collaboration. Artificial Intelligence in Agriculture. 15(4). 610–621.
4.
Wang, Zhe, et al.. (2024). Ganoderma lucidum polysaccharide alleviates cognitive dysfunction by inhibiting neuroinflammation via NLRP3/NF-κB signaling pathway. Journal of Ethnopharmacology. 338(Pt 2). 119065–119065. 10 indexed citations
7.
Yang, Meng, et al.. (2024). Incomplete Observations Bias Suppression for Abductive Natural Language Inference. 10046–10050. 1 indexed citations
8.
Yang, Meng, et al.. (2023). Evolving graph-based video crowd anomaly detection. The Visual Computer. 40(1). 303–318. 10 indexed citations
9.
Yang, Meng, et al.. (2023). Food processing as the dominant contributor of phosphorus output in nearly half of China's regions. Resources Conservation and Recycling. 198. 107178–107178. 7 indexed citations
10.
Yang, Meng, et al.. (2022). Deep Supervised Dual Cycle Adversarial Network for Cross-Modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 33(2). 920–934. 13 indexed citations
11.
Yang, Meng, et al.. (2022). An efficient deep neural model for detecting crowd anomalies in videos. Applied Intelligence. 53(12). 15695–15710. 8 indexed citations
12.
Gao, Guangwei, Yi Yu, Jian Yang, Guo-Jun Qi, & Meng Yang. (2020). Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 2550–2560. 39 indexed citations
13.
Liu, Feng, et al.. (2017). Case study of 3D fingerprints applications. PLoS ONE. 12(4). e0175261–e0175261. 9 indexed citations
14.
Xie, Weicheng, Linlin Shen, Meng Yang, & Zhihui Lai. (2017). Active AU Based Patch Weighting for Facial Expression Recognition. Sensors. 17(2). 275–275. 12 indexed citations
15.
Xie, Weicheng, et al.. (2017). Facial expression synthesis with direction field preservation based mesh deformation and lighting fitting based wrinkle mapping. Multimedia Tools and Applications. 77(6). 7565–7593. 8 indexed citations
16.
Yang, Meng & Lin Chen. (2017). Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 14 indexed citations
17.
Yang, Meng, et al.. (2013). Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person. Lirias (KU Leuven). 689–696. 121 indexed citations
18.
Yang, Meng, Lei Zhang, Simon Shiu, & David Zhang. (2013). Robust Kernel Representation With Statistical Local Features for Face Recognition. IEEE Transactions on Neural Networks and Learning Systems. 24(6). 900–912. 95 indexed citations
19.
Yang, Meng. (2012). Natural image segmentation based on contour detection. 1 indexed citations
20.
Yang, Meng, Lei Zhang, Jian Yang, & David Zhang. (2010). Metaface learning for sparse representation based face recognition. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1601–1604. 249 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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