Yongjian Hu

2.5k total citations · 1 hit paper
90 papers, 1.7k citations indexed

About

Yongjian Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yongjian Hu has authored 90 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 18 papers in Signal Processing. Recurrent topics in Yongjian Hu's work include Digital Media Forensic Detection (48 papers), Advanced Steganography and Watermarking Techniques (33 papers) and Generative Adversarial Networks and Image Synthesis (15 papers). Yongjian Hu is often cited by papers focused on Digital Media Forensic Detection (48 papers), Advanced Steganography and Watermarking Techniques (33 papers) and Generative Adversarial Networks and Image Synthesis (15 papers). Yongjian Hu collaborates with scholars based in China, United Kingdom and Australia. Yongjian Hu's co-authors include Heung-Kyu Lee, Jianwei Li, Chang‐Tsun Li, Sam Kwong, Zhe‐Ming Lu, Byeungwoo Jeon, Beibei Liu, Alex C. Kot, Jiwu Huang and Haoliang Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

In The Last Decade

Yongjian Hu

87 papers receiving 1.6k citations

Hit Papers

DE-Based Reversible Data Hiding With Improved Overflow Lo... 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongjian Hu China 20 1.5k 260 186 100 93 90 1.7k
Simone Milani Italy 19 1.2k 0.8× 307 1.2× 101 0.5× 116 1.2× 37 0.4× 112 1.4k
Luis Herranz China 17 890 0.6× 110 0.4× 632 3.4× 71 0.7× 99 1.1× 61 1.2k
H.-Y.M. Liao Taiwan 14 971 0.6× 118 0.5× 83 0.4× 93 0.9× 43 0.5× 26 1.0k
Teófilo de Campos United Kingdom 12 603 0.4× 87 0.3× 233 1.3× 126 1.3× 31 0.3× 43 819
Gurjit Singh Walia India 16 591 0.4× 275 1.1× 176 0.9× 100 1.0× 55 0.6× 45 799
Neeta Nain India 14 484 0.3× 101 0.4× 191 1.0× 63 0.6× 30 0.3× 80 647
Linjun Sun China 14 338 0.2× 159 0.6× 213 1.1× 59 0.6× 31 0.3× 38 651
Jiahao Li China 13 774 0.5× 431 1.7× 101 0.5× 24 0.2× 23 0.2× 55 999
Tanfeng Sun China 20 1.1k 0.7× 167 0.6× 354 1.9× 81 0.8× 150 1.6× 92 1.2k

Countries citing papers authored by Yongjian Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yongjian Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongjian Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjian Hu. A scholar is included among the top collaborators of Yongjian Hu 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 Yongjian Hu. Yongjian Hu 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.
Li, Jicheng, et al.. (2025). Deepfake detection with domain generalization and mask-guided supervision. Pattern Recognition. 165. 111622–111622. 2 indexed citations
2.
Xu, Chenhao, Chang‐Tsun Li, Yongjian Hu, Chee Peng Lim, & Douglas Creighton. (2025). Deep learning techniques for Video Instance Segmentation: A survey. Pattern Recognition. 167. 111763–111763. 2 indexed citations
3.
Cai, Rizhao, Zitong Yu, Chenqi Kong, et al.. (2024). S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing With Statistical Tokens. IEEE Transactions on Information Forensics and Security. 19. 8385–8397. 13 indexed citations
4.
Hu, Yongjian, et al.. (2024). Using Graph Neural Networks to Improve Generalization Capability of the Models for Deepfake Detection. IEEE Transactions on Information Forensics and Security. 19. 8414–8427. 5 indexed citations
6.
Li, Jicheng, et al.. (2024). Boosting Deepfake Feature Extractors Using Unsupervised Domain Adaptation. IEEE Signal Processing Letters. 31. 2010–2014. 3 indexed citations
8.
Chen, Zhen‐Song, et al.. (2024). Selecting optimal honeycomb structural materials for electronics clean rooms using a Bayesian best-worst method and ELECTRE III. Journal of Building Engineering. 85. 108703–108703. 6 indexed citations
9.
Cen, Jian, et al.. (2023). An Improved Ship Classification Method Based on YOLOv7 Model with Attention Mechanism. Wireless Communications and Mobile Computing. 2023. 1–18. 12 indexed citations
10.
Hu, Yongjian, et al.. (2023). Learnable Information-Preserving Image Resizer for Face Forgery Detection. IEEE Signal Processing Letters. 30. 1657–1661. 2 indexed citations
11.
Cai, Rizhao, Yawen Cui, Zhi Li, et al.. (2023). Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less. 8003–8014. 16 indexed citations
12.
Liu, Beibei, et al.. (2021). Non-Degraded Adaptive HEVC Steganography by Advanced Motion Vector Prediction. IEEE Signal Processing Letters. 28. 1843–1847. 14 indexed citations
13.
Hu, Yongjian, et al.. (2021). Deepfake Videos Detection Based on Image Segmentation with Deep Neural Networks. 电子与信息学报. 43(1). 162–170. 2 indexed citations
14.
He, Qianhua, et al.. (2021). Violence Detection in Videos Based on Fusing Visual and Audio Information. 2260–2264. 37 indexed citations
15.
16.
Hu, Yongjian, et al.. (2019). Multi-Label-Based Similarity Learning for Vehicle Re-Identification. IEEE Access. 7. 162605–162616. 20 indexed citations
17.
Liu, Beibei, et al.. (2019). Auto-Zooming CNN-Based Framework for Real-Time Pedestrian Detection in Outdoor Surveillance Videos. IEEE Access. 7. 105816–105826. 20 indexed citations
18.
Hu, Yongjian, et al.. (2011). Source Camera Identification Issues. International Journal of Digital Crime and Forensics. 3(4). 1–15. 2 indexed citations
19.
Hu, Yongjian. (2010). Improved algorithm based on TV model for image inpainting. Jisuanji gongcheng yu sheji. 1 indexed citations
20.
Hu, Yongjian. (2010). Image Inpainting Technology Based on Image Decomposition. Jisuanji gongcheng. 2 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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