Zhenjun Tang

4.8k total citations
137 papers, 3.5k citations indexed

About

Zhenjun Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zhenjun Tang has authored 137 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 10 papers in Media Technology. Recurrent topics in Zhenjun Tang's work include Advanced Steganography and Watermarking Techniques (67 papers), Advanced Image and Video Retrieval Techniques (59 papers) and Digital Media Forensic Detection (44 papers). Zhenjun Tang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (67 papers), Advanced Image and Video Retrieval Techniques (59 papers) and Digital Media Forensic Detection (44 papers). Zhenjun Tang collaborates with scholars based in China, Taiwan and Australia. Zhenjun Tang's co-authors include Xianquan Zhang, Chunqiang Yu, Heng Yao, Chuan Qin, Shichao Zhang, Xianxian Li, Zhixin Li, Xinpeng Zhang, Shuozhong Wang and Weimin Wei and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Zhenjun Tang

128 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenjun Tang China 36 3.2k 449 290 140 113 137 3.5k
Xin Jin China 23 1.1k 0.4× 345 0.8× 146 0.5× 89 0.6× 91 0.8× 166 1.7k
Kun Zhan China 23 1.7k 0.5× 850 1.9× 751 2.6× 86 0.6× 75 0.7× 77 2.4k
Beijing Chen China 29 2.0k 0.6× 293 0.7× 517 1.8× 211 1.5× 61 0.5× 81 2.4k
A. Ben Hamza Canada 25 1.4k 0.4× 233 0.5× 349 1.2× 111 0.8× 58 0.5× 108 1.9k
Fei Peng China 28 1.9k 0.6× 313 0.7× 131 0.5× 464 3.3× 75 0.7× 160 2.4k
Uğur Erkan Türkiye 31 1.8k 0.5× 465 1.0× 255 0.9× 138 1.0× 277 2.5× 73 2.4k
Xia De-shen China 17 1.4k 0.4× 275 0.6× 471 1.6× 153 1.1× 46 0.4× 84 1.7k
Yong Luo China 22 1.2k 0.4× 1.0k 2.3× 311 1.1× 123 0.9× 61 0.5× 116 2.1k
Guorui Feng China 26 1.9k 0.6× 1.0k 2.3× 166 0.6× 198 1.4× 79 0.7× 169 2.8k
Jiangqun Ni China 26 3.0k 0.9× 346 0.8× 386 1.3× 142 1.0× 28 0.2× 91 3.1k

Countries citing papers authored by Zhenjun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenjun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenjun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenjun Tang. A scholar is included among the top collaborators of Zhenjun Tang 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 Zhenjun Tang. Zhenjun Tang 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.
Tang, Zhenjun, et al.. (2024). Dual-attention pyramid transformer network for No-Reference Image Quality Assessment. Expert Systems with Applications. 257. 125008–125008. 2 indexed citations
2.
Li, Zhixin, et al.. (2024). Exploring refined dual visual features cross-combination for image captioning. Neural Networks. 180. 106710–106710. 4 indexed citations
3.
Li, Zhixin, et al.. (2024). Enhancing robust VQA via contrastive and self-supervised learning. Pattern Recognition. 159. 111129–111129. 7 indexed citations
4.
Tang, Zhenjun, et al.. (2024). Robust Hashing with Deep Features and Meixner Moments for Image Copy Detection. ACM Transactions on Multimedia Computing Communications and Applications. 20(12). 1–23. 4 indexed citations
5.
Zhang, Xianquan, et al.. (2024). Multidirectional Gradient Predictor for Region-Based Reversible Data Hiding in Encrypted Images. IEEE Internet of Things Journal. 11(21). 35596–35609. 2 indexed citations
6.
Tang, Zhenjun, et al.. (2024). Robust Color Image Hashing With Nonnegative Matrix Factorization and Saliency Map for Copy Detection. IEEE Multimedia. 31(3). 44–52. 1 indexed citations
7.
Zhang, Xianquan, et al.. (2024). Image Hiding Based on Compressive Autoencoders and Normalizing Flow. IEEE Signal Processing Letters. 31. 2810–2814.
8.
Liang, Xiaoping, Wanting Liu, Xianquan Zhang, & Zhenjun Tang. (2024). Robust Image Hashing via CP Decomposition and DCT for Copy Detection. ACM Transactions on Multimedia Computing Communications and Applications. 20(7). 1–22. 4 indexed citations
9.
Zhang, Xianquan, et al.. (2024). Reversible Data Hiding in Encrypted Images With Asymmetric Coding and Bit-Plane Block Compression. IEEE Transactions on Multimedia. 26. 10174–10188. 10 indexed citations
10.
Zhang, Xianquan, et al.. (2024). Secret image restoration with high-bit correction and symbiotic organisms search. Expert Systems with Applications. 259. 125324–125324.
11.
Liang, Xiaoping, et al.. (2023). Robust Hashing With Local Tangent Space Alignment for Image Copy Detection. IEEE Transactions on Dependable and Secure Computing. 21(4). 2448–2460. 8 indexed citations
12.
Tang, Zhenjun, et al.. (2023). Unifying Dual-Attention and Siamese Transformer Network for Full-Reference Image Quality Assessment. ACM Transactions on Multimedia Computing Communications and Applications. 19(6). 1–24. 20 indexed citations
13.
Liang, Xiaoping, Zhenjun Tang, Sheng Li, Chunqiang Yu, & Xianquan Zhang. (2022). A novel hashing scheme via image feature map and 2D PCA. IET Image Processing. 16(12). 3225–3236. 5 indexed citations
14.
Tang, Zhenjun, et al.. (2022). Perceptual Hashing With Complementary Color Wavelet Transform and Compressed Sensing for Reduced-Reference Image Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 32(11). 7559–7574. 29 indexed citations
15.
Liang, Xiaoping, Zhenjun Tang, Ziqing Huang, Xianquan Zhang, & Shichao Zhang. (2021). Efficient Hashing Method Using 2D-2D PCA for Image Copy Detection. IEEE Transactions on Knowledge and Data Engineering. 35(4). 3765–3778. 35 indexed citations
16.
Tang, Zhenjun, et al.. (2021). Robust Video Hashing Based on Multidimensional Scaling and Ordinal Measures. Security and Communication Networks. 2021. 1–11. 2 indexed citations
17.
Huang, Ziqing, et al.. (2021). Perceptual Image Hashing With Locality Preserving Projection for Copy Detection. IEEE Transactions on Dependable and Secure Computing. 20(1). 463–477. 28 indexed citations
18.
Wang, Dewang, Xianquan Zhang, Chunqiang Yu, & Zhenjun Tang. (2019). Reversible Data Hiding by Using Adaptive Pixel Value Prediction and Adaptive Embedding Bin Selection. IEEE Signal Processing Letters. 26(11). 1713–1717. 19 indexed citations
19.
Yu, Chunqiang, et al.. (2018). Reversible Data Hiding with Pixel Prediction and Additive Homomorphism for Encrypted Image. Security and Communication Networks. 2018. 1–13. 7 indexed citations
20.
Zhang, Xianquan, Jianzhong Yang, & Zhenjun Tang. (2011). EDGE DETECTION USING IMAGE SEGMENTATION AND SOBEL OPERATORS. 2(4). 809–814. 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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