Guanglei Yang

1.2k total citations
27 papers, 847 citations indexed

About

Guanglei Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Guanglei Yang has authored 27 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Plant Science. Recurrent topics in Guanglei Yang's work include Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Neural Network Applications (4 papers). Guanglei Yang is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Neural Network Applications (4 papers). Guanglei Yang collaborates with scholars based in China, Italy and Hong Kong. Guanglei Yang's co-authors include Yushi Luan, Jun Cui, Jun Meng, Xinxin Hou, Mingli Ding, Xiaoxu Zhou, Elisa Ricci, Ning Jiang, Hao Tang and Nicu Sebe and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Plant Journal and IEEE Transactions on Image Processing.

In The Last Decade

Guanglei Yang

25 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanglei Yang China 13 415 240 215 160 128 27 847
Wenzhun Huang China 17 329 0.8× 174 0.7× 241 1.1× 4 0.0× 74 0.6× 42 899
Guofen Wang China 13 253 0.6× 142 0.6× 64 0.3× 18 0.1× 20 0.2× 31 507
Zhiyi Zhang China 20 414 1.0× 17 0.1× 326 1.5× 27 0.2× 135 1.1× 63 1.2k
Simón Orozco-Arias Colombia 14 199 0.5× 103 0.4× 205 1.0× 7 0.0× 132 1.0× 39 588
Priscila T. M. Saito Brazil 11 68 0.2× 73 0.3× 86 0.4× 16 0.1× 95 0.7× 31 306
Kemal Adem Türkiye 13 301 0.7× 159 0.7× 71 0.3× 9 0.1× 250 2.0× 47 877
Weiwei Zhang China 16 93 0.2× 97 0.4× 742 3.5× 3 0.0× 113 0.9× 54 1.1k
Jiajia Cao China 16 480 1.2× 63 0.3× 184 0.9× 8 0.1× 132 1.0× 77 835
Zhaohong Li China 18 139 0.3× 461 1.9× 171 0.8× 3 0.0× 63 0.5× 76 935
Ruiquan Ge China 12 22 0.1× 90 0.4× 163 0.8× 6 0.0× 123 1.0× 56 452

Countries citing papers authored by Guanglei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guanglei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guanglei Yang. A scholar is included among the top collaborators of Guanglei 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 Guanglei Yang. Guanglei 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.
Yang, Guanglei, et al.. (2025). FILP-3D: Enhancing 3D few-shot class-incremental learning with pre-trained vision-language models. Pattern Recognition. 165. 111558–111558.
2.
Wang, Zehao, et al.. (2025). DualAug: Exploiting additional heavy augmentation with OOD data rejection. Neurocomputing. 654. 131209–131209.
3.
4.
Wu, Lixin, Guanglei Yang, & Xiaowei Chen. (2024). Spatial Distribution Characteristics and Influencing Factors of Intangible Cultural Heritage in the Yunnan, Guangxi, and Guizhou Rocky Desertification Area. Sustainability. 16(11). 4722–4722. 3 indexed citations
5.
Zhang, Chaoqun, Donglan Zha, Fu Wang, et al.. (2023). The effect of customized information feedback on individual electricity saving behavior: Evidence from a field experiment in China. Technological Forecasting and Social Change. 193. 122602–122602. 13 indexed citations
6.
Yang, Guanglei, et al.. (2023). DPDFormer: A Coarse-to-Fine Model for Monocular Depth Estimation. ACM Transactions on Multimedia Computing Communications and Applications. 20(5). 1–21. 5 indexed citations
7.
Yang, Guanglei, et al.. (2023). Correlation Analysis of Health Factors of Elderly People in Traditional Miao Dwellings in Western Hunan. Buildings. 13(6). 1459–1459. 4 indexed citations
8.
9.
10.
Zuo, Wangmeng, et al.. (2023). Relative order constraint for monocular depth estimation. Applied Intelligence. 53(21). 24804–24821. 1 indexed citations
11.
Yang, Guanglei, Enrico Fini, Dan Xu, et al.. (2022). Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. IEEE Transactions on Multimedia. 25. 3841–3854. 23 indexed citations
12.
Yang, Guanglei, Enrico Fini, Dan Xu, et al.. (2022). Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2567–2581. 47 indexed citations
13.
Yang, Guanglei, Hao Tang, Mingli Ding, Nicu Sebe, & Elisa Ricci. (2021). Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 16249–16259. 128 indexed citations
14.
Yang, Guanglei, Hao Tang, Mingli Ding, Nicu Sebe, & Elisa Ricci. (2021). Transformers Solve the Limited Receptive Field for Monocular Depth Prediction. arXiv (Cornell University). 16 indexed citations
15.
Jiang, Ning, Jun Cui, Yunsheng Shi, et al.. (2019). Tomato lncRNA23468 functions as a competing endogenous RNA to modulate NBS-LRR genes by decoying miR482b in the tomato-Phytophthora infestans interaction. Horticulture Research. 6(1). 28–28. 137 indexed citations
16.
Cui, Jun, Ning Jiang, Xiaoxu Zhou, et al.. (2018). Tomato MYB49 enhances resistance to Phytophthora infestans and tolerance to water deficit and salt stress. Planta. 248(6). 1487–1503. 105 indexed citations
17.
Jiang, Ning, Jun Cui, Guanglei Yang, et al.. (2018). Comparative transcriptome analysis shows the defense response networks regulated by miR482b. Plant Cell Reports. 38(1). 1–13. 17 indexed citations
18.
Cui, Jun, Ning Jiang, Jun Meng, et al.. (2018). Identification and characterization of defensin genes conferring Phytophthora infestans resistance in tomato. Physiological and Molecular Plant Pathology. 103. 28–35. 10 indexed citations
19.
Yang, Guanglei, et al.. (2016). The hypoxia-mimetic agent CoCl2 induces chemotherapy resistance in LOVO colorectal cancer cells. Molecular Medicine Reports. 13(3). 2583–2589. 25 indexed citations
20.
Yang, Guanglei, Hui Zeng, Peihua Li, & Lei Zhang. (2015). High-order information for robust iris recognition under less controlled conditions. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 4535–4539. 8 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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