Gaobo Yang

2.5k total citations
108 papers, 1.8k citations indexed

About

Gaobo Yang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Gaobo Yang has authored 108 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Computer Vision and Pattern Recognition, 26 papers in Signal Processing and 20 papers in Media Technology. Recurrent topics in Gaobo Yang's work include Digital Media Forensic Detection (53 papers), Advanced Image Processing Techniques (27 papers) and Generative Adversarial Networks and Image Synthesis (26 papers). Gaobo Yang is often cited by papers focused on Digital Media Forensic Detection (53 papers), Advanced Image Processing Techniques (27 papers) and Generative Adversarial Networks and Image Synthesis (26 papers). Gaobo Yang collaborates with scholars based in China, United Kingdom and United States. Gaobo Yang's co-authors include Leida Li, Xingming Sun, Dengyong Zhang, Xiangling Ding, Zhiqing Guo, Ningbo Zhu, Xuesong Wang, Alex C. Kot, Weisi Lin and Khosro Bahrami and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Cybernetics and Neurocomputing.

In The Last Decade

Gaobo Yang

99 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaobo Yang China 25 1.6k 356 295 176 68 108 1.8k
Xiaochen Yuan Macao 19 1.0k 0.7× 361 1.0× 170 0.6× 165 0.9× 68 1.0× 145 1.4k
Wael AbdAlmageed United States 19 1.2k 0.8× 310 0.9× 202 0.7× 293 1.7× 47 0.7× 60 1.4k
K.R. Ramakrishnan India 16 826 0.5× 154 0.4× 134 0.5× 159 0.9× 17 0.3× 85 1.2k
Ghada M. El‐Banby Egypt 20 577 0.4× 190 0.5× 249 0.8× 219 1.2× 28 0.4× 84 1.1k
Giuseppe Valenzise France 19 930 0.6× 98 0.3× 421 1.4× 159 0.9× 42 0.6× 85 1.3k
Xuanjing Shen China 17 884 0.6× 389 1.1× 41 0.1× 194 1.1× 55 0.8× 103 1.2k
Anthony T. S. Ho United Kingdom 21 1.4k 0.9× 102 0.3× 443 1.5× 151 0.9× 22 0.3× 107 2.0k
Prabin Kumar Bora India 18 781 0.5× 147 0.4× 171 0.6× 159 0.9× 9 0.1× 149 1.3k
Sudeep D. Thepade India 18 1.4k 0.9× 404 1.1× 397 1.3× 254 1.4× 3 0.0× 258 1.9k

Countries citing papers authored by Gaobo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Gaobo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaobo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Gaobo Yang. A scholar is included among the top collaborators of Gaobo 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 Gaobo Yang. Gaobo 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.
Guo, Zhiqing, et al.. (2025). WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural Networks. IEEE Transactions on Circuits and Systems for Video Technology. 1–1.
2.
Ren, Wenqi, et al.. (2025). You Only Need Clear Images: Self-Supervised Single Image Dehazing. IEEE Transactions on Multimedia. 27. 5800–5814. 3 indexed citations
3.
Guo, Zhiqing, et al.. (2025). DiffMark: Diffusion-based robust watermark against Deepfakes. Information Fusion. 127. 103801–103801.
4.
Wang, Dewang, et al.. (2024). Improving image steganography security via ensemble steganalysis and adversarial perturbation minimization. Journal of Information Security and Applications. 85. 103835–103835. 2 indexed citations
5.
Wang, Feng, Dengyong Zhang, Zhiqing Guo, Dewang Wang, & Gaobo Yang. (2024). ESRL: efficient similarity representation learning for deepfake detection. Multimedia Tools and Applications. 83(31). 76991–77007.
6.
Wang, Dewang, et al.. (2024). GAN-based adaptive cost learning for enhanced image steganography security. Expert Systems with Applications. 249. 123471–123471. 13 indexed citations
7.
Zhang, Dengyong, Feng Li, Jiaxin Chen, et al.. (2024). Multi-scale noise-guided progressive network for image splicing detection and localization. Expert Systems with Applications. 257. 124975–124975. 5 indexed citations
8.
Guo, Zhiqing, et al.. (2023). Exposing Deepfake Face Forgeries With Guided Residuals. IEEE Transactions on Multimedia. 25. 8458–8470. 19 indexed citations
9.
Luo, Ting, et al.. (2023). ARWGAN: Attention-Guided Robust Image Watermarking Model Based on GAN. IEEE Transactions on Instrumentation and Measurement. 72. 1–17. 36 indexed citations
10.
Wang, Dewang, et al.. (2023). Enhancing Adversarial Embedding based Image Steganography via Clustering Modification Directions. ACM Transactions on Multimedia Computing Communications and Applications. 20(1). 1–20. 2 indexed citations
11.
Guo, Zhiqing, Zhenhong Jia, Liejun Wang, et al.. (2023). Constructing New Backbone Networks via Space-Frequency Interactive Convolution for Deepfake Detection. IEEE Transactions on Information Forensics and Security. 19. 401–413. 19 indexed citations
12.
Fu, Tao, et al.. (2022). Detecting GAN-generated face images via hybrid texture and sensor noise based features. Multimedia Tools and Applications. 81(18). 26345–26359. 9 indexed citations
13.
Guo, Zhiqing, et al.. (2022). Rethinking gradient operator for exposing AI-enabled face forgeries. Expert Systems with Applications. 215. 119361–119361. 40 indexed citations
14.
Deng, Shijie, et al.. (2022). Flexible revocation in ciphertext-policy attribute-based encryption with verifiable ciphertext delegation. Multimedia Tools and Applications. 82(14). 22251–22274. 8 indexed citations
15.
Li, Yue, Gaobo Yang, Yun Song, et al.. (2021). Early Intra CU Size Decision for Versatile Video Coding Based on a Tunable Decision Model. IEEE Transactions on Broadcasting. 67(3). 710–720. 48 indexed citations
16.
Guo, Zhiqing, et al.. (2020). Blind detection of glow-based facial forgery. Multimedia Tools and Applications. 80(5). 7687–7710. 17 indexed citations
17.
Ding, Xiangling, Yue Li, Ming Xia, Jiale He, & Gaobo Yang. (2018). Detection of motion compensated frame interpolation via motion-aligned temporal difference. Multimedia Tools and Applications. 78(6). 7453–7477. 8 indexed citations
18.
Yang, Gaobo, et al.. (2018). Probability Model-Based Early Merge Mode Decision for Dependent Views Coding in 3D-HEVC. ACM Transactions on Multimedia Computing Communications and Applications. 14(4). 1–15. 13 indexed citations
19.
Li, Yue, et al.. (2016). Early DIRECT Mode Decision for MVC Using MB Mode Homogeneity and RD Cost Correlation. IEEE Transactions on Broadcasting. 62(3). 700–708. 6 indexed citations
20.
Yang, Gaobo. (2006). The Design and Implementation of Video Transmit Filter Based on DirectShow. Science Technology and Engineering. 1 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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