Guangfeng Lin

867 total citations
45 papers, 650 citations indexed

About

Guangfeng Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Guangfeng Lin has authored 45 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Guangfeng Lin's work include Advanced Image and Video Retrieval Techniques (11 papers), Human Pose and Action Recognition (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Guangfeng Lin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Human Pose and Action Recognition (10 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Guangfeng Lin collaborates with scholars based in China, United States and United Kingdom. Guangfeng Lin's co-authors include Xiaobing Kang, Fan Zhao, Yajun Chen, Erhu Zhang, Kaiyang Liao, Wanjun Chen, Guoliang Fan, Bangyong Sun, Congjun Cao and Kelu Wang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Guangfeng Lin

39 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guangfeng Lin China	15	487	172	106	58	56	45	650
Mengyang Yu United Kingdom	17	853 1.8×	301 1.8×	94 0.9×	91 1.6×	48 0.9×	26	980
Till Quack Switzerland	8	622 1.3×	91 0.5×	79 0.7×	22 0.4×	105 1.9×	9	688
Wei Tong China	13	315 0.6×	119 0.7×	28 0.3×	28 0.5×	43 0.8×	41	487
Sharon Alpert Israel	9	770 1.6×	93 0.5×	103 1.0×	17 0.3×	88 1.6×	12	868
Yunlian Sun China	12	430 0.9×	199 1.2×	36 0.3×	49 0.8×	19 0.3×	26	624
Ziqi Zhu China	9	370 0.8×	69 0.4×	60 0.6×	32 0.6×	24 0.4×	18	497
Eunbyung Park South Korea	9	490 1.0×	185 1.1×	28 0.3×	35 0.6×	69 1.2×	20	658
A. Carmona-Poyato Spain	15	487 1.0×	81 0.5×	76 0.7×	88 1.5×	48 0.9×	38	638
Jianbo Liu China	8	349 0.7×	93 0.5×	22 0.2×	24 0.4×	43 0.8×	17	435

Countries citing papers authored by Guangfeng Lin

Since Specialization

Citations

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

Fields of papers citing papers by Guangfeng Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangfeng Lin

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

All Works

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20 of 20 papers shown

Lin, Guangfeng, et al.. (2025). High-Order Structure-Preserving Graph Neural Network for Few-Shot Learning. IEEE Internet of Things Journal. 12(11). 17987–18003.

Lin, Guangfeng, Wenchao Wei, Xiaobing Kang, Kaiyang Liao, & Erhu Zhang. (2024). Deep graph layer information mining convolutional network. Pattern Recognition. 154. 110593–110593.

Lin, Guangfeng, et al.. (2024). Gabor-Guided Transformer for Single Image Deraining. 1–6. 1 indexed citations

Lin, Guangfeng, et al.. (2023). Novel Object Captioning with Semantic Match from External Knowledge. Applied Sciences. 13(13). 7868–7868.

Lin, Guangfeng, et al.. (2023). Object semantic analysis for image captioning. Multimedia Tools and Applications. 82(28). 43179–43206. 1 indexed citations

Huang, Gang, et al.. (2023). 互补注意多样性特征融合网络的细粒度分类. Journal of Image and Graphics. 28(8). 2420–2431. 1 indexed citations

Li, Yumei, et al.. (2023). Layer similarity guiding few-shot Chinese style transfer. The Visual Computer. 40(4). 2265–2278. 4 indexed citations

Zhang, Yujia, Dong Wang, Jing Shi, et al.. (2023). Controllable Image Captioning with Feature Refinement and Multilayer Fusion. Applied Sciences. 13(8). 5020–5020. 1 indexed citations

Liao, Kaiyang, et al.. (2023). Approximate object location deep visual representations for image retrieval. Displays. 77. 102376–102376. 10 indexed citations

10.

Wei, Wenchao, et al.. (2022). Survey of graph network hierarchical information mining for classification. Journal of Image and Graphics. 27(10). 2916–2936. 2 indexed citations

11.

Liao, Kaiyang, et al.. (2021). A deep multi-feature distance metric learning method for pedestrian re-identification. Multimedia Tools and Applications. 80(15). 23113–23131. 6 indexed citations

12.

Lin, Guangfeng, Xiaobing Kang, Kaiyang Liao, Fan Zhao, & Yajun Chen. (2021). Deep graph learning for semi-supervised classification. Pattern Recognition. 118. 108039–108039. 34 indexed citations

13.

Lin, Guangfeng, Jing Wang, Kaiyang Liao, Fan Zhao, & Wanjun Chen. (2020). Structure Fusion Based on Graph Convolutional Networks for Node Classification in Citation Networks. Electronics. 9(3). 432–432. 9 indexed citations

14.

Lin, Guangfeng, et al.. (2019). Transfer Feature Generating Networks With Semantic Classes Structure for Zero-Shot Learning. IEEE Access. 7. 176470–176483. 6 indexed citations

15.

Kang, Xiaobing, et al.. (2019). Robust and secure zero-watermarking algorithm for color images based on majority voting pattern and hyper-chaotic encryption. Multimedia Tools and Applications. 79(1-2). 1169–1202. 47 indexed citations

16.

Fan, Guoliang, et al.. (2019). Three-Stream Convolutional Neural Network With Multi-Task and Ensemble Learning for 3D Action Recognition. 934–940. 57 indexed citations

17.

Zhang, Erhu, et al.. (2019). Fusion of 2D CNN and 3D DenseNet for Dynamic Gesture Recognition. Electronics. 8(12). 1511–1511. 27 indexed citations

18.

Kang, Xiaobing, Fan Zhao, Guangfeng Lin, & Yajun Chen. (2017). A novel hybrid of DCT and SVD in DWT domain for robust and invisible blind image watermarking with optimal embedding strength. Multimedia Tools and Applications. 77(11). 13197–13224. 92 indexed citations

19.

Kang, Xiaobing, et al.. (2012). Detecting Tampered Regions in Digital Images Using Discrete Cosine Transform and Singular Value Decomposition. International Journal of Digital Content Technology and its Applications. 6(23). 179–188. 5 indexed citations

20.

Lin, Guangfeng, et al.. (2009). Human Action Recognition Using Latent-Dynamic Condition Random Fields. 32. 147–151. 5 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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