Nabil A. Lashin

474 total citations
17 papers, 287 citations indexed

About

Nabil A. Lashin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Nabil A. Lashin has authored 17 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 2 papers in Artificial Intelligence. Recurrent topics in Nabil A. Lashin's work include Advanced Steganography and Watermarking Techniques (12 papers), Chaos-based Image/Signal Encryption (9 papers) and Digital Media Forensic Detection (9 papers). Nabil A. Lashin is often cited by papers focused on Advanced Steganography and Watermarking Techniques (12 papers), Chaos-based Image/Signal Encryption (9 papers) and Digital Media Forensic Detection (9 papers). Nabil A. Lashin collaborates with scholars based in Egypt, United States and Saudi Arabia. Nabil A. Lashin's co-authors include Khalid M. Hosny, Hanaa M. Hamza, Mostafa M. Fouda, Ahmad Salah, Osama M. Elkomy, George A. Papakostas, Doaa Sami Khafaga and Eman Abdullah Aldakheel and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Nabil A. Lashin

16 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nabil A. Lashin Egypt	10	257	67	29	28	26	17	287
Lifang Yu China	10	357 1.4×	58 0.9×	45 1.6×	7 0.3×	31 1.2×	39	377
Dijana Tralić Croatia	8	267 1.0×	133 2.0×	17 0.6×	69 2.5×	13 0.5×	17	295
Pedro Comesaña Spain	14	538 2.1×	86 1.3×	79 2.7×	31 1.1×	63 2.4×	51	580
A. Swaminathan United States	7	628 2.4×	106 1.6×	34 1.2×	16 0.6×	48 1.8×	10	676
Myung-Joon Kwon South Korea	7	231 0.9×	82 1.2×	91 3.1×	28 1.0×	21 0.8×	12	288
Yuileong Yeung China	16	552 2.1×	75 1.1×	32 1.1×	25 0.9×	187 7.2×	24	569
Y.Q. Shi United States	9	418 1.6×	51 0.8×	16 0.6×	3 0.1×	32 1.2×	31	446
Vijay H. Mankar India	11	790 3.1×	202 3.0×	71 2.4×	57 2.0×	40 1.5×	26	814
Jyh-Jong Tsay Taiwan	8	105 0.4×	12 0.2×	82 2.8×	7 0.3×	54 2.1×	37	267
Ding-Jie Chen Taiwan	8	209 0.8×	37 0.6×	105 3.6×	7 0.3×	16 0.6×	17	275

Countries citing papers authored by Nabil A. Lashin

Since Specialization

Citations

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

Fields of papers citing papers by Nabil A. Lashin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nabil A. Lashin. 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 Nabil A. Lashin. The network helps show where Nabil A. Lashin may publish in the future.

Co-authorship network of co-authors of Nabil A. Lashin

This figure shows the co-authorship network connecting the top 25 collaborators of Nabil A. Lashin. A scholar is included among the top collaborators of Nabil A. Lashin 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 Nabil A. Lashin. Nabil A. Lashin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Hosny, Khalid M., et al.. (2025). A new CNN-based watermarking method for color medical images in a fusion domain. Neural Computing and Applications. 37(18). 12611–12629. 2 indexed citations

Lashin, Nabil A., et al.. (2024). ZWNet: DarkNet53-based zero watermarking method for authentication of medical images inspired by Fibonacci Q-matrix and stationary wavelet transform. Biomedical Signal Processing and Control. 100. 107044–107044. 5 indexed citations

Aldakheel, Eman Abdullah, et al.. (2024). Fast encryption of color medical videos for Internet of Medical Things. Journal of Real-Time Image Processing. 21(5).

Hosny, Khalid M., et al.. (2023). A New Method to Detect Splicing Image Forgery Using Convolutional Neural Network. Applied Sciences. 13(3). 1272–1272. 16 indexed citations

Khafaga, Doaa Sami, et al.. (2023). Securing Transmitted Color Images Using Zero Watermarking and Advanced Encryption Standard on Raspberry Pi. Computer Systems Science and Engineering. 47(2). 1967–1986. 6 indexed citations

Hosny, Khalid M., et al.. (2023). Multimedia Security Using Encryption: A Survey. IEEE Access. 11. 63027–63056. 34 indexed citations

Hosny, Khalid M., et al.. (2022). Robust color image watermarking using multi-core Raspberry pi cluster. Multimedia Tools and Applications. 81(12). 17185–17204. 9 indexed citations

Hosny, Khalid M., et al.. (2022). Privacy Protection in Surveillance Videos Using Block Scrambling-Based Encryption and DCNN-Based Face Detection. IEEE Access. 10. 106750–106769. 18 indexed citations

Hosny, Khalid M., et al.. (2022). An Efficient CNN Model to Detect Copy-Move Image Forgery. IEEE Access. 10. 48622–48632. 32 indexed citations

10.

Hosny, Khalid M., et al.. (2022). Internet of things applications using Raspberry-Pi: a survey. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(1). 902–902. 11 indexed citations

11.

Hosny, Khalid M., et al.. (2022). Fast colored video encryption using block scrambling and multi-key generation. The Visual Computer. 39(12). 6041–6072. 23 indexed citations

12.

Hosny, Khalid M., et al.. (2021). Refined Color Texture Classification Using CNN and Local Binary Pattern. Mathematical Problems in Engineering. 2021. 1–15. 6 indexed citations

13.

Hosny, Khalid M., et al.. (2021). Improved color texture recognition using multi-channel orthogonal moments and local binary pattern. Multimedia Tools and Applications. 80(9). 13179–13194. 7 indexed citations

14.

Hosny, Khalid M., et al.. (2021). Blind Watermarking of Color Medical Images Using Hadamard Transform and Fractional-Order Moments. Sensors. 21(23). 7845–7845. 15 indexed citations

15.

Hosny, Khalid M., et al.. (2021). Improved data hiding method for securing color images. Multimedia Tools and Applications. 80(8). 12641–12670. 28 indexed citations

16.

Hosny, Khalid M., Hanaa M. Hamza, & Nabil A. Lashin. (2019). Copy‐for‐duplication forgery detection in colour images using QPCETMs and sub‐image approach. IET Image Processing. 13(9). 1437–1446. 31 indexed citations

17.

Hosny, Khalid M., Hanaa M. Hamza, & Nabil A. Lashin. (2018). Copy-move forgery detection of duplicated objects using accurate PCET moments and morphological operators. The Imaging Science Journal. 66(6). 330–345. 44 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.

Explore authors with similar magnitude of impact