Hanzhou Wu

2.6k total citations · 1 hit paper
100 papers, 1.5k citations indexed

About

Hanzhou Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hanzhou Wu has authored 100 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 17 papers in Signal Processing. Recurrent topics in Hanzhou Wu's work include Advanced Steganography and Watermarking Techniques (62 papers), Digital Media Forensic Detection (47 papers) and Chaos-based Image/Signal Encryption (26 papers). Hanzhou Wu is often cited by papers focused on Advanced Steganography and Watermarking Techniques (62 papers), Digital Media Forensic Detection (47 papers) and Chaos-based Image/Signal Encryption (26 papers). Hanzhou Wu collaborates with scholars based in China, United States and Italy. Hanzhou Wu's co-authors include Guanshuo Xu, Yun-Qing Shi, Xinpeng Zhang, Guorui Feng, Hongxia Wang, Yalan Qin, Yun Q. Shi, Asad Malik, Nan Pu and Feng Ding and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Hanzhou Wu

89 papers receiving 1.5k citations

Hit Papers

Structural Design of Convolutional Neural Networks for St... 2016 2026 2019 2022 2016 100 200 300 400
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. Structural Design of Convolutional Neural Networks for Steganalysis
    2016 476 citations Hanzhou Wu et al. profile →

Peers

Hanzhou Wu
Daniel Carlos Guimarães Pedronette Brazil
Mark J. Huiskes Netherlands
Yingke Lei China
Chen Gong China
Karl Ni United States
Shijie Xiao Singapore
Nikhil Rasiwasia United States
Bart Thomée Netherlands
Daniel Carlos Guimarães Pedronette Brazil
Hanzhou Wu
Citations per year, relative to Hanzhou Wu Hanzhou Wu (= 1×) peers Daniel Carlos Guimarães Pedronette

Countries citing papers authored by Hanzhou Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hanzhou Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanzhou Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hanzhou Wu. A scholar is included among the top collaborators of Hanzhou Wu 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 Hanzhou Wu. Hanzhou Wu 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.
Chen, Yi, Hongxia Wang, Yunhe Cui, et al.. (2025). A multi-level additive distortion method for security improvement in palette image steganography. Journal of Visual Communication and Image Representation. 110. 104463–104463.
2.
Liu, Ming, et al.. (2025). Automated localization and detection for robust image watermarking resistant to camera shooting. Journal of Information Security and Applications. 94. 104250–104250.
3.
Zhang, Xinpeng, et al.. (2025). Robust watermarking for diffusion models based on STDM and latent space fine-tuning. Journal of Information Security and Applications. 93. 104167–104167. 1 indexed citations
4.
Xiong, Ling, et al.. (2025). An Efficient Privacy-Preserving Access Control Scheme for Cloud Computing Services. IEEE Transactions on Consumer Electronics. 71(2). 6642–6658. 2 indexed citations
5.
Lin, Lina, et al.. (2024). Automatic, Robust, and Blind Video Watermarking Resisting Camera Recording. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13413–13426. 5 indexed citations
6.
Wu, Hanzhou, et al.. (2024). New Bounds for Aperiodic Wide-Gap Frequency Hopping Sequences. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E108.A(2). 165–168.
7.
Liu, Yong, et al.. (2024). Exploiting Frequency Characteristics for Boosting the Invisibility of Adversarial Attacks. Applied Sciences. 14(8). 3315–3315. 2 indexed citations
8.
Wu, Hanzhou, et al.. (2024). New Families of Frequency-Hopping Sequence Sets with a Low-Hit-Zone. Entropy. 26(11). 948–948.
9.
Li, Zhang, Xinpeng Zhang, & Hanzhou Wu. (2024). High-Frequency Artifacts-Resistant Image Watermarking Applicable to Image Processing Models. Applied Sciences. 14(4). 1494–1494. 1 indexed citations
10.
Malik, Asad, et al.. (2024). Enhancing robustness in video data hiding against recompression with a wide parameter range. Journal of Information Security and Applications. 83. 103796–103796. 1 indexed citations
11.
Wu, Hanzhou, et al.. (2023). Robust periodic blind watermarking based on sub-block mapping and block encryption. Expert Systems with Applications. 224. 119981–119981. 16 indexed citations
12.
Li, Mingjie, Hanzhou Wu, & Xinpeng Zhang. (2023). A novel watermarking framework for intellectual property protection of NLG APIs. Neurocomputing. 558. 126700–126700. 2 indexed citations
13.
Li, Mingjie, Hanzhou Wu, Zichi Wang, & Xinpeng Zhang. (2023). Generating watermarked adversarial texts. Journal of Electronic Imaging. 32(2). 1 indexed citations
14.
Wu, Hanzhou, et al.. (2023). AWEncoder: Adversarial Watermarking Pre-Trained Encoders in Contrastive Learning. Applied Sciences. 13(6). 3531–3531. 2 indexed citations
15.
Wu, Hanzhou, et al.. (2023). New Bounds on the Partial Hamming Correlation of Wide-Gap Frequency-Hopping Sequences with Frequency Shift. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E106.A(8). 1077–1080. 1 indexed citations
16.
17.
Wu, Hanzhou, et al.. (2022). Exploiting Language Model For Efficient Linguistic Steganalysis. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3074–3078. 7 indexed citations
18.
Wu, Hanzhou. (2020). Efficient Reversible Data Hiding Simultaneously Exploiting Adjacent Pixels. IEEE Access. 8. 119501–119510. 4 indexed citations
19.
Liu, Yong, et al.. (2019). A passive forensic scheme for copy-move forgery based on superpixel segmentation and K-means clustering. Multimedia Tools and Applications. 79(1-2). 477–500. 18 indexed citations
20.
Liu, Shengfa, et al.. (2009). Digenean parasites of Chinese marine fishes: a list of species, hosts and geographical distribution. Systematic Parasitology. 75(1). 1–52. 24 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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