Adıtya Kumar Sahu

2.0k total citations
58 papers, 1.3k citations indexed

About

Adıtya Kumar Sahu is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Adıtya Kumar Sahu has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 7 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Adıtya Kumar Sahu's work include Advanced Steganography and Watermarking Techniques (42 papers), Chaos-based Image/Signal Encryption (34 papers) and Digital Media Forensic Detection (34 papers). Adıtya Kumar Sahu is often cited by papers focused on Advanced Steganography and Watermarking Techniques (42 papers), Chaos-based Image/Signal Encryption (34 papers) and Digital Media Forensic Detection (34 papers). Adıtya Kumar Sahu collaborates with scholars based in India, Saudi Arabia and Algeria. Adıtya Kumar Sahu's co-authors include Gandharba Swain, Monalisa Sahu, Adnan Gutub, J. Hemalatha, Neelamadhab Padhy, E. Suresh Babu, K. Raja Sekhar, Routhu Srinivasa Rao, Chandan Kumar and M. Sekar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of the Franklin Institute.

In The Last Decade

Adıtya Kumar Sahu

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adıtya Kumar Sahu India 22 1.1k 158 119 86 53 58 1.3k
Zhengquan Xu China 16 579 0.6× 194 1.2× 137 1.2× 166 1.9× 135 2.5× 72 889
Mohammed Javed India 14 563 0.5× 266 1.7× 125 1.1× 176 2.0× 94 1.8× 53 945
Ferda Ernawan Malaysia 20 946 0.9× 128 0.8× 64 0.5× 186 2.2× 25 0.5× 116 1.2k
Cheonshik Kim South Korea 16 734 0.7× 155 1.0× 139 1.2× 198 2.3× 147 2.8× 79 1.0k
Ashima Anand India 18 855 0.8× 120 0.8× 87 0.7× 106 1.2× 42 0.8× 45 1.0k
Jeffrey A. Bloom United States 13 990 0.9× 61 0.4× 91 0.8× 172 2.0× 24 0.5× 35 1.1k
Simone Marinai Italy 17 659 0.6× 247 1.6× 85 0.7× 77 0.9× 24 0.5× 61 903
Bin Shen China 14 445 0.4× 217 1.4× 62 0.5× 49 0.6× 18 0.3× 51 691
Fuhao Zou China 17 755 0.7× 222 1.4× 59 0.5× 133 1.5× 27 0.5× 75 896
Jixin Ma United Kingdom 14 301 0.3× 342 2.2× 176 1.5× 97 1.1× 132 2.5× 104 759

Countries citing papers authored by Adıtya Kumar Sahu

Since Specialization
Citations

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

Fields of papers citing papers by Adıtya Kumar Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adıtya Kumar Sahu. 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 Adıtya Kumar Sahu. The network helps show where Adıtya Kumar Sahu may publish in the future.

Co-authorship network of co-authors of Adıtya Kumar Sahu

This figure shows the co-authorship network connecting the top 25 collaborators of Adıtya Kumar Sahu. A scholar is included among the top collaborators of Adıtya Kumar Sahu 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 Adıtya Kumar Sahu. Adıtya Kumar Sahu 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.
Khaldi, Amine, et al.. (2025). FDCT-based watermarking for robust and imperceptible medical image protection. Intelligence-Based Medicine. 12. 100280–100280.
2.
Setiadi, De Rosal Ignatius Moses, Sudipta Kr Ghosal, & Adıtya Kumar Sahu. (2025). AI-Powered Steganography: Advances in Image, Linguistic, and 3D Mesh Data Hiding – A Survey. 2(1). 1–23. 5 indexed citations
3.
Khaldi, Amine, et al.. (2025). Robust medical image watermarking based on Ridgelet transform and Ant Colony Optimization for telemedicine security. Systems and Soft Computing. 7. 200390–200390.
4.
Khaldi, Amine, et al.. (2025). Robust and imperceptible medical image watermarking for telemedicine applications based on transform-domain and neural clustering techniques. Journal of the Franklin Institute. 362(15). 108039–108039. 1 indexed citations
5.
Wali, Ali, et al.. (2025). Secure and imperceptible medical image watermarking via multiscale QR embedding and attention-based optimization. Engineering Science and Technology an International Journal. 73. 102250–102250.
6.
Sahu, Adıtya Kumar, et al.. (2024). Digital to quantum watermarking: A journey from past to present and into the future. Computer Science Review. 54. 100679–100679. 16 indexed citations
7.
Rupa, Ch., et al.. (2024). Improved multiview biometric object detection for anti spoofing frauds. Multimedia Tools and Applications. 83(33). 80161–80177. 14 indexed citations
8.
Sahu, Adıtya Kumar. (2024). Multimedia Watermarking. 5 indexed citations
9.
Sahu, Adıtya Kumar & Mehdi Hussain. (2024). Introduction to the special section on recent advances in multimedia forensics for cyber security and data tampering (VSI-forens). Computers & Electrical Engineering. 118. 109348–109348. 1 indexed citations
10.
Rao, Routhu Srinivasa, et al.. (2024). Multimodal Imputation-Based Multimodal Autoencoder Framework for AQI Classification and Prediction of Indian Cities. IEEE Access. 12. 108350–108363. 7 indexed citations
11.
Rupa, Ch., et al.. (2024). Data Privacy Protection Using Lucas Series Based Hybrid Reversible Watermarking Approach. IEEE Access. 12. 134578–134593. 5 indexed citations
12.
Hemalatha, J., M. Sekar, Chandan Kumar, Adnan Gutub, & Adıtya Kumar Sahu. (2023). Towards improving the performance of blind image steganalyzer using third-order SPAM features and ensemble classifier. Journal of Information Security and Applications. 76. 103541–103541. 39 indexed citations
13.
Sahu, Monalisa, et al.. (2023). Secure Reversible Data Hiding Using Block-Wise Histogram Shifting. Electronics. 12(5). 1222–1222. 48 indexed citations
14.
Sahu, Adıtya Kumar, et al.. (2023). Enhancing Cloud Communication Security: A Blockchain-Powered Framework with Attribute-Aware Encryption. Electronics. 12(18). 3890–3890. 8 indexed citations
15.
Kumar, Vijay, Sahil Sharma, Chandan Kumar, & Adıtya Kumar Sahu. (2023). Latest Trends in Deep Learning Techniques for Image Steganography. International Journal of Digital Crime and Forensics. 15(1). 1–14. 18 indexed citations
16.
Srinivasan, Saravanan, et al.. (2023). Local-Ternary-Pattern-Based Associated Histogram Equalization Technique for Cervical Cancer Detection. Diagnostics. 13(3). 548–548. 10 indexed citations
17.
Sahu, Adıtya Kumar & Adnan Gutub. (2022). Improving grayscale steganography to protect personal information disclosure within hotel services. Multimedia Tools and Applications. 81(21). 30663–30683. 43 indexed citations
18.
Sahu, Adıtya Kumar, et al.. (2022). Chaotic-Map Based Encryption for 3D Point and 3D Mesh Fog Data in Edge Computing. IEEE Access. 11. 3545–3554. 26 indexed citations
19.
Jaiswal, Manjit, et al.. (2020). Effectively Diagnosing Malaria by Optimizing the Hyperparameters of CNN using Genetic Algorithm on the Multi core GPU. International Journal of Recent Technology and Engineering (IJRTE). 8(6). 2983–2991. 1 indexed citations
20.
Sahu, Adıtya Kumar, Gandharba Swain, & E. Suresh Babu. (2018). Digital Image Steganography Using Bit Flipping. Cybernetics and Information Technologies. 18(1). 69–80. 52 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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