Guangwei Gao

3.3k total citations · 2 hit papers
98 papers, 2.1k citations indexed

About

Guangwei Gao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Guangwei Gao has authored 98 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Vision and Pattern Recognition, 26 papers in Media Technology and 16 papers in Artificial Intelligence. Recurrent topics in Guangwei Gao's work include Face and Expression Recognition (28 papers), Advanced Image Processing Techniques (28 papers) and Face recognition and analysis (20 papers). Guangwei Gao is often cited by papers focused on Face and Expression Recognition (28 papers), Advanced Image Processing Techniques (28 papers) and Face recognition and analysis (20 papers). Guangwei Gao collaborates with scholars based in China, Japan and Hong Kong. Guangwei Gao's co-authors include Jian Yang, Juncheng Li, Huimin Lu, Yi Yu, Quan Zhou, Dong Yue, Longin Jan Latecki, Xiao‐Yuan Jing, Guoan Xu and Pu Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Guangwei Gao

88 papers receiving 2.1k citations

Hit Papers

Lednet: A Lightweight Encoder-Decoder Network for Real-Ti... 2019 2026 2021 2023 2019 2023 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
    2019 287 citations Guangwei Gao et al. profile →
  2. CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution
    2023 103 citations Guangwei Gao, Zixiang Xu et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangwei Gao China 24 1.6k 500 448 212 120 98 2.1k
Xu Wang China 25 1.6k 1.0× 349 0.7× 394 0.9× 558 2.6× 117 1.0× 136 2.3k
Renjie Liao Canada 20 1.6k 1.0× 451 0.9× 461 1.0× 92 0.4× 97 0.8× 46 2.2k
Cheolkon Jung China 24 1.8k 1.1× 700 1.4× 180 0.4× 131 0.6× 125 1.0× 203 2.4k
Hongyuan Zhu Singapore 27 2.0k 1.2× 382 0.8× 1.1k 2.4× 129 0.6× 120 1.0× 77 2.8k
Jianqing Zhu China 25 1.4k 0.9× 423 0.8× 321 0.7× 89 0.4× 57 0.5× 97 1.9k
Shengfeng He China 31 2.9k 1.8× 595 1.2× 521 1.2× 109 0.5× 104 0.9× 158 3.5k
Yuhui Zheng China 27 1.6k 1.0× 931 1.9× 435 1.0× 118 0.6× 111 0.9× 96 2.6k
Weilin Huang China 24 2.6k 1.6× 687 1.4× 840 1.9× 132 0.6× 120 1.0× 47 3.1k
Fanman Meng China 28 2.1k 1.3× 441 0.9× 431 1.0× 361 1.7× 40 0.3× 150 2.5k

Countries citing papers authored by Guangwei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Guangwei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangwei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Guangwei Gao. A scholar is included among the top collaborators of Guangwei Gao 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 Guangwei Gao. Guangwei Gao 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.
Gao, Guangwei, et al.. (2025). Attention-assisted dual-branch interactive face super-resolution network. SHILAP Revista de lepidopterología. 5. 77–85. 1 indexed citations
2.
Gao, Guangwei, et al.. (2025). DECTNet: A detail enhanced CNN-Transformer network for single-image deraining. SHILAP Revista de lepidopterología. 5. 48–60. 1 indexed citations
3.
Gao, Guangwei, et al.. (2025). HFS-SAM2: Segment Anything Model 2 With High-Frequency Feature Supplementation for Camouflaged Object Detection. IEEE Signal Processing Letters. 32. 2923–2927.
4.
Li, Wenjie, Mei Wang, Kai Zhang, et al.. (2025). Survey on Deep Face Restoration: From Non-blind to Blind and Beyond. ACM Computing Surveys. 58(6). 1–35. 2 indexed citations
5.
Li, Xiang, et al.. (2025). Tri-Perspective View Decomposition for Geometry Aware Depth Completion and Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 11330–11347.
6.
Liu, Chunying, Guangwei Gao, Fei Wu, Zhenhua Guo, & Yi Yu. (2024). An efficient feature reuse distillation network for lightweight image super-resolution. Computer Vision and Image Understanding. 249. 104178–104178. 1 indexed citations
7.
Li, Juncheng, et al.. (2024). EWT: Efficient Wavelet-Transformer for single image denoising. Neural Networks. 177. 106378–106378. 20 indexed citations
8.
Xu, Guoan, et al.. (2024). HAFormer: Unleashing the Power of Hierarchy-Aware Features for Lightweight Semantic Segmentation. IEEE Transactions on Image Processing. 33. 4202–4214. 14 indexed citations
9.
Li, Wenjie, Juncheng Li, Guangwei Gao, et al.. (2024). Efficient Image Super-Resolution With Feature Interaction Weighted Hybrid Network. IEEE Transactions on Multimedia. 27. 2256–2267. 5 indexed citations
10.
Li, Juncheng, Wenjie Li, Guangwei Gao, et al.. (2024). A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution. ACM Computing Surveys. 56(10). 1–40. 17 indexed citations
11.
Gao, Guangwei, et al.. (2023). CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution. IEEE Transactions on Image Processing. 32. 1978–1991. 103 indexed citations breakdown →
12.
Gao, Guangwei, Lei Tang, Fei Wu, Huimin Lu, & Jian Yang. (2023). JDSR-GAN: Constructing an Efficient Joint Learning Network for Masked Face Super-Resolution. IEEE Transactions on Multimedia. 25. 1505–1512. 14 indexed citations
13.
Xu, Guoan, Juncheng Li, Guangwei Gao, et al.. (2023). Lightweight Real-Time Semantic Segmentation Network With Efficient Transformer and CNN. IEEE Transactions on Intelligent Transportation Systems. 24(12). 15897–15906. 81 indexed citations
14.
Li, Wenjie, Juncheng Li, Guangwei Gao, et al.. (2023). Cross-Receptive Focused Inference Network for Lightweight Image Super-Resolution. IEEE Transactions on Multimedia. 26. 864–877. 45 indexed citations
15.
Dou, Rui, et al.. (2023). A Decoder Structure Guided CNN‐Transformer Network for face super‐resolution. IET Computer Vision. 18(4). 473–484.
16.
Gao, Guangwei, Yi Yu, Huimin Lu, Jian Yang, & Dong Yue. (2022). Context-Patch Representation Learning With Adaptive Neighbor Embedding for Robust Face Image Super-Resolution. IEEE Transactions on Multimedia. 25. 1879–1889. 5 indexed citations
17.
Gao, Guangwei, Guoan Xu, Juncheng Li, et al.. (2022). FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation. IEEE Transactions on Multimedia. 25. 3273–3283. 90 indexed citations
18.
Gao, Guangwei, Guoan Xu, Yi Yu, et al.. (2021). MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation. IEEE Transactions on Intelligent Transportation Systems. 23(12). 25489–25499. 98 indexed citations
19.
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
20.
Zhu, Xiaoke, Xiao‐Yuan Jing, Liang Yang, et al.. (2017). Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 28(10). 2599–2611. 29 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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