Shaobing Gao

1.2k total citations
35 papers, 781 citations indexed

About

Shaobing Gao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Shaobing Gao has authored 35 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 11 papers in Media Technology and 10 papers in Cognitive Neuroscience. Recurrent topics in Shaobing Gao's work include Image Enhancement Techniques (14 papers), Color Science and Applications (9 papers) and Advanced Image Fusion Techniques (8 papers). Shaobing Gao is often cited by papers focused on Image Enhancement Techniques (14 papers), Color Science and Applications (9 papers) and Advanced Image Fusion Techniques (8 papers). Shaobing Gao collaborates with scholars based in China, United Kingdom and United States. Shaobing Gao's co-authors include Yongjie Li, Kai-Fu Yang, Chaoyi Li, Ming Zhang, Xian-Shi Zhang, Chaoyi Li, Wenzheng Xu, Xinyu Du, Yuhong Liu and Songchen Han and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Shaobing Gao

29 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaobing Gao China	15	610	265	232	104	54	35	781
Francesco Banterle Italy	18	1.2k 1.9×	233 0.9×	346 1.5×	38 0.4×	17 0.3×	61	1.3k
Claudio Cusano Italy	22	1.3k 2.1×	257 1.0×	417 1.8×	51 0.5×	105 1.9×	57	1.5k
María Vanrell Spain	18	926 1.5×	201 0.8×	165 0.7×	176 1.7×	120 2.2×	54	1.2k
Rajeev Ramanath United States	11	566 0.9×	366 1.4×	193 0.8×	41 0.4×	42 0.8×	20	893
Alexander Wilkie Czechia	16	504 0.8×	93 0.4×	222 1.0×	40 0.4×	21 0.4×	63	894
Helge Seetzen Canada	13	993 1.6×	320 1.2×	498 2.1×	175 1.7×	55 1.0×	20	1.2k
Weihua Xiong China	13	775 1.3×	164 0.6×	301 1.3×	75 0.7×	71 1.3×	45	906
Edoardo Provenzi France	12	931 1.5×	341 1.3×	433 1.9×	182 1.8×	38 0.7×	39	1.1k
Ayan Chakrabarti United States	17	1.2k 2.0×	701 2.6×	265 1.1×	47 0.5×	52 1.0×	41	1.6k
David Connah United Kingdom	11	256 0.4×	109 0.4×	282 1.2×	30 0.3×	46 0.9×	30	483

Countries citing papers authored by Shaobing Gao

Since Specialization

Citations

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

Fields of papers citing papers by Shaobing Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaobing Gao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Qinghua, et al.. (2025). Quaternion-based deep image prior with regularization by denoising for color image restoration. Signal Processing. 231. 109883–109883.

Gao, Shaobing, et al.. (2025). Boosting Visible-Infrared Image Fusion and Target Detection Performance With Sleep-Wake Joint Learning. IEEE Transactions on Instrumentation and Measurement. 74. 1–19.

Chen, Liang, et al.. (2025). Biological Vision Inspired Context-Awareness Network for Various Non-Generic Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 6726–6739. 1 indexed citations

Wang, Ziming, et al.. (2024). Coarse-to-Fine bone age regression by using multi-scale self-attention mechanism. Biomedical Signal Processing and Control. 100. 107029–107029. 1 indexed citations

Kuang, Mei, et al.. (2024). Natural Image Reconstruction from fMRI Based on Node–Edge Interaction and Multi–Scale Constraint. Brain Sciences. 14(3). 234–234.

Yao, Zhiwei, Shaobing Gao, & Wenjuan Li. (2024). SNN using color-opponent and attention mechanisms for object recognition. Pattern Recognition. 158. 111070–111070.

Gao, Shaobing, et al.. (2023). Denoiser-guided image deconvolution with arbitrary boundaries and incomplete observations. Signal Processing. 214. 109226–109226. 4 indexed citations

Gao, Shaobing, et al.. (2022). Explaining Orientation Adaptation in V1 by Updating the State of a Spatial Model. Frontiers in Computational Neuroscience. 15. 759254–759254.

Qiu, Jianhui, et al.. (2021). Defect Detection in High-Speed Railway Overhead Contact System: Importance, Challenges, and Methods. 76–80. 3 indexed citations

10.

Xu, Wenzheng, Tong Li, Weifa Liang, et al.. (2019). Identifying structural hole spanners to maximally block information propagation. Information Sciences. 505. 100–126. 25 indexed citations

11.

Gao, Shaobing, et al.. (2019). Underwater Image Enhancement Using Adaptive Retinal Mechanisms. IEEE Transactions on Image Processing. 28(11). 5580–5595. 123 indexed citations

12.

Gao, Shaobing, Ming Zhang, & Yongjie Li. (2019). Improving color constancy by selecting suitable set of training images. Optics Express. 27(18). 25611–25611. 12 indexed citations

13.

He, Zhen, et al.. (2017). Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning. UCL Discovery (University College London). 30. 1–11. 13 indexed citations

14.

Yang, Dahou, Jinming Duan, Shaobing Gao, et al.. (2017). A portable image-based cytometer for rapid malaria detection and quantification. PLoS ONE. 12(6). e0179161–e0179161. 41 indexed citations

15.

Guo, Na, Rong Xiao, Shaobing Gao, & Huajin Tang. (2017). A neurally inspired pattern recognition approach with latency-phase encoding and precise-spike-driven rule in spiking neural network. 18. 484–489. 1 indexed citations

16.

Zhang, Xian-Shi, Shaobing Gao, Chaoyi Li, & Yongjie Li. (2015). A Retina Inspired Model for Enhancing Visibility of Hazy Images. Frontiers in Computational Neuroscience. 9. 151–151. 32 indexed citations

17.

Yang, Kai-Fu, et al.. (2015). Boundary Detection Using Double-Opponency and Spatial Sparseness Constraint. IEEE Transactions on Image Processing. 24(8). 2565–2578. 71 indexed citations

18.

Yang, Kai-Fu, Shaobing Gao, & Yongjie Li. (2015). Efficient illuminant estimation for color constancy using grey pixels. 2254–2263. 80 indexed citations

19.

Gao, Shaobing, Kai-Fu Yang, Chaoyi Li, & Yongjie Li. (2015). Color Constancy Using Double-Opponency. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(10). 1973–1985. 78 indexed citations

20.

Gao, Shaobing, Kai-Fu Yang, Chaoyi Li, & Yongjie Li. (2013). A Color Constancy Model with Double-Opponency Mechanisms. 929–936. 34 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.

Explore authors with similar magnitude of impact