Ling Du

727 total citations · 1 hit paper
23 papers, 512 citations indexed

About

Ling Du is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Ling Du has authored 23 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Ling Du's work include Advanced Steganography and Watermarking Techniques (19 papers), Digital Media Forensic Detection (11 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Ling Du is often cited by papers focused on Advanced Steganography and Watermarking Techniques (19 papers), Digital Media Forensic Detection (11 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Ling Du collaborates with scholars based in China, United Kingdom and United States. Ling Du's co-authors include Xiaochun Cao, Xingxing Wei, Xiaojie Guo, Dan Meng, Anthony T. S. Ho, Runmin Cong, Xiaochao Wang, Jianping Hu, Xinpeng Zhang and Wenqi Ren and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Cybernetics and Multimedia Tools and Applications.

In The Last Decade

Ling Du

22 papers receiving 491 citations

Hit Papers

High Capacity Reversible Data Hiding in Encrypted Images ... 2015 2026 2018 2022 2015 50 100 150 200 250
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. High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation
    2015 292 citations Xiaochun Cao, Ling Du et al. IEEE Transactions on Cybernetics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Du China 9 467 54 35 31 21 23 512
J. K. Su Germany 6 301 0.6× 29 0.5× 39 1.1× 20 0.6× 26 1.2× 11 345
Mahbuba Begum Bangladesh 9 348 0.7× 91 1.7× 35 1.0× 61 2.0× 6 0.3× 18 426
Xiangli Xiao China 9 235 0.5× 85 1.6× 53 1.5× 19 0.6× 12 0.6× 21 317
Eugene T. Lin United States 11 502 1.1× 29 0.5× 91 2.6× 20 0.6× 11 0.5× 19 525
Mina Makar United States 12 282 0.6× 28 0.5× 37 1.1× 13 0.4× 37 1.8× 25 324
Shoko Imaizumi Japan 11 339 0.7× 91 1.7× 38 1.1× 8 0.3× 10 0.5× 43 374
Sung-Wen Wang Taiwan 6 171 0.4× 57 1.1× 50 1.4× 25 0.8× 12 0.6× 10 242
Hsiang-Cheh Huang Taiwan 6 374 0.8× 26 0.5× 58 1.7× 42 1.4× 8 0.4× 16 396
Roshidi Din Malaysia 10 237 0.5× 93 1.7× 24 0.7× 44 1.4× 24 1.1× 69 346

Countries citing papers authored by Ling Du

Since Specialization
Citations

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

Fields of papers citing papers by Ling Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Du

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Du. A scholar is included among the top collaborators of Ling Du 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 Ling Du. Ling Du 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.
Wang, Xiaochao, Qianqian Du, Ling Du, Huayan Zhang, & Jianping Hu. (2024). Robust zero-watermarking algorithm via multi-scale feature analysis for medical images. Journal of Information Security and Applications. 89. 103937–103937. 1 indexed citations
2.
Du, Ling, et al.. (2023). Robust image hashing based on multi-view dimension reduction. Journal of Information Security and Applications. 77. 103578–103578. 2 indexed citations
3.
Huang, Heyu, et al.. (2022). Feedback Chain Network For Hippocampus Segmentation. ACM Transactions on Multimedia Computing Communications and Applications. 1 indexed citations
4.
Wang, Xiaochao, et al.. (2021). Robust and efficient image watermarking via EMD and dimensionality reduction. The Visual Computer. 38(6). 2153–2170. 10 indexed citations
5.
Wang, Xiaochao, et al.. (2021). Mapping based Residual Convolution Neural Network for Non-embedding and Blind Image Watermarking. Journal of Information Security and Applications. 59. 102820–102820. 14 indexed citations
6.
Du, Ling, Zhen Chen, & Anthony T. S. Ho. (2020). Binary multi-view perceptual hashing for image authentication. Multimedia Tools and Applications. 80(15). 22927–22949. 10 indexed citations
7.
Wang, Xiaochao, et al.. (2020). Robust and blind image watermarking via circular embedding and bidimensional empirical mode decomposition. The Visual Computer. 36(10-12). 2201–2214. 20 indexed citations
8.
Du, Ling, et al.. (2019). An efficient privacy protection scheme for data security in video surveillance. Journal of Visual Communication and Image Representation. 59. 347–362. 26 indexed citations
9.
Du, Ling, Anthony T. S. Ho, & Runmin Cong. (2019). Perceptual hashing for image authentication: A survey. Signal Processing Image Communication. 81. 115713–115713. 77 indexed citations
10.
Du, Ling, et al.. (2018). Image Hashing for Tamper Detection with Multiview Embedding and Perceptual Saliency. Advances in Multimedia. 2018. 1–11. 6 indexed citations
11.
Han, Rong, et al.. (2017). Exploring the location of object deleted by seam-carving. Expert Systems with Applications. 95. 162–171. 9 indexed citations
12.
Du, Ling, Xiaochun Cao, Wei Zhang, et al.. (2016). Semi-fragile watermarking for image authentication based on compressive sensing. Science China Information Sciences. 59(5). 4 indexed citations
13.
Li, Jian, Wenhuan Lu, Ling Du, et al.. (2016). A Study on Detection and Recovery of Speech Signal Tampering. 8 indexed citations
14.
Cao, Xiaochun, Ling Du, Xingxing Wei, Dan Meng, & Xiaojie Guo. (2015). High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation. IEEE Transactions on Cybernetics. 46(5). 1132–1143. 292 indexed citations breakdown →
15.
Du, Ling & Yuhang Li. (2014). Privacy preserving for human object in video surveillance via visual cryptography. 6250. 80–85. 2 indexed citations
16.
Cao, Xiaochun, et al.. (2014). Preserving privacy for video surveillance via visual cryptography. 5671. 607–610. 2 indexed citations
17.
Li, Yuhang & Ling Du. (2014). Semi-fragile watermarking for image tamper localization and self-recovery. 328–333. 7 indexed citations
18.
Cao, Xiaochun, et al.. (2013). Device identification based on H.264 cues. 3. 452–455.
19.
Du, Ling. (2011). End-to-end available bandwidth measurement methodology. Computer Engineering and Applications Journal. 8 indexed citations
20.
Yang, Dan, et al.. (2010). Research on Service Management Techniques for P2P MMOG. 1–4. 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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