Diaa Uliyan

577 total citations
22 papers, 403 citations indexed

About

Diaa Uliyan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics. According to data from OpenAlex, Diaa Uliyan has authored 22 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Media Technology and 7 papers in Biophysics. Recurrent topics in Diaa Uliyan's work include Digital Media Forensic Detection (15 papers), Image Processing Techniques and Applications (11 papers) and Advanced Steganography and Watermarking Techniques (8 papers). Diaa Uliyan is often cited by papers focused on Digital Media Forensic Detection (15 papers), Image Processing Techniques and Applications (11 papers) and Advanced Steganography and Watermarking Techniques (8 papers). Diaa Uliyan collaborates with scholars based in Jordan, Malaysia and Saudi Arabia. Diaa Uliyan's co-authors include Hamid A. Jalab, Somayeh Sadeghi, Ainuddin Wahid Abdul Wahab, Sajjad Dadkhah, Muhannad A. Abu‐Hashem, Abdelrahman Abuarqoub, Giuseppe Mazzola, Hesham Abusaimeh, Mohammad Hammoudeh and Fayez Alfayez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Diaa Uliyan

22 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diaa Uliyan Jordan	10	227	120	60	53	51	22	403
Shan Jia China	11	268 1.2×	25 0.2×	56 0.9×	4 0.1×	118 2.3×	26	390
Weihua Huang Singapore	15	409 1.8×	72 0.6×	96 1.6×	3 0.1×	33 0.6×	30	530
Ehsan Sheybani United States	8	24 0.1×	27 0.2×	41 0.7×	7 0.1×	26 0.5×	64	251
Hussein Tuama Hazim Iraq	8	91 0.4×	45 0.4×	64 1.1×	2 0.0×	27 0.5×	13	349
Shreya Shankar United States	8	61 0.3×	8 0.1×	23 0.4×	10 0.2×	13 0.3×	16	212
Ahmed Mueen Saudi Arabia	12	180 0.8×	27 0.2×	52 0.9×	3 0.1×	9 0.2×	22	486
R. Raja Subramanian India	11	105 0.5×	31 0.3×	32 0.5×	2 0.0×	26 0.5×	59	339
Christophe Gravier France	10	42 0.2×	205 1.7×	64 1.1×	2 0.0×	7 0.1×	45	360
Michele Scalera Italy	12	18 0.1×	26 0.2×	82 1.4×	4 0.1×	57 1.1×	26	282

Countries citing papers authored by Diaa Uliyan

Since Specialization

Citations

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

Fields of papers citing papers by Diaa Uliyan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diaa Uliyan

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

All Works

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20 of 20 papers shown

Uliyan, Diaa. (2024). A Deep Learning Model to Inspect Image Forgery on SURF Keypoints of SLIC Segmented Regions. Engineering Technology & Applied Science Research. 14(1). 12549–12555. 7 indexed citations

Uliyan, Diaa, et al.. (2023). Anti-Spoofing in Medical Employee's Email using Machine Learning Uclassify Algorithm. International Journal of Advanced Computer Science and Applications. 14(7). 2 indexed citations

Aljaloud, Abdulaziz, et al.. (2022). A Deep Learning Model to Predict Student Learning Outcomes in LMS Using CNN and LSTM. IEEE Access. 10. 85255–85265. 30 indexed citations

Uliyan, Diaa, et al.. (2021). Deep Learning Model to Predict Students Retention Using BLSTM and CRF. IEEE Access. 9. 135550–135558. 20 indexed citations

Uliyan, Diaa & Mohammad T. Alshammari. (2020). Investigation of image forgery based on multiscale retinex under illumination variations. Forensic Imaging. 22. 200385–200385. 3 indexed citations

Uliyan, Diaa, et al.. (2020). Mandible Bone Osteoporosis Detection using Cone-beam Computed Tomography. SHILAP Revista de lepidopterología. 10(4). 6027–6033. 13 indexed citations

Uliyan, Diaa, et al.. (2019). A Secret-Key Image Steganography Technique using Random Chain Codes. SHILAP Revista de lepidopterología. 10(4). 731–731. 7 indexed citations

Uliyan, Diaa, et al.. (2018). A forensic scheme for revealing post-processed region duplication forgery in suspected images. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 10(3). 37–45. 3 indexed citations

Uliyan, Diaa, et al.. (2018). Blur Invariant Features For Exposing Region Duplication Forgery Using ANMS And Local Phase Quantization. Informatica. 42(4). 2 indexed citations

10.

Jalab, Hamid A., et al.. (2018). Copy-move Image Forgery Detection Based on Gabor Descriptors and K-Means Clustering. 8. 1–6. 2 indexed citations

11.

Mahdi, Omar Adil, et al.. (2018). An intersection-based segment aware algorithm for geographic routing in VANETs. 66–71. 7 indexed citations

12.

Sadeghi, Somayeh, Hamid A. Jalab, KokSheik Wong, Diaa Uliyan, & Sajjad Dadkhah. (2017). Keypoint Based Authentication And Localization Of Copy-Move Forgery In Digital Image. Malaysian Journal of Computer Science. 30(2). 117–133. 16 indexed citations

13.

Sadeghi, Somayeh, Sajjad Dadkhah, Hamid A. Jalab, Giuseppe Mazzola, & Diaa Uliyan. (2017). State of the art in passive digital image forgery detection: copy-move image forgery. Pattern Analysis and Applications. 21(2). 291–306. 52 indexed citations

14.

Abu‐Hashem, Muhannad A., Diaa Uliyan, & Abdelrahman Abuarqoub. (2017). A Shared Memory Method For Enhancing The HTNGH AlgorithmPerformance. 1–6. 3 indexed citations

15.

Abuarqoub, Abdelrahman, Hesham Abusaimeh, Mohammad Hammoudeh, et al.. (2017). A Survey on Internet of Things Enabled Smart Campus Applications. 1–7. 71 indexed citations

16.

Uliyan, Diaa, Hamid A. Jalab, Abdelrahman Abuarqoub, & Muhannad A. Abu‐Hashem. (2017). Segmented-Based Region Duplication Forgery Detection Using MOD Keypoints and Texture Descriptor. 1–6. 4 indexed citations

17.

Dadkhah, Sajjad, Mario Köppen, Hamid A. Jalab, et al.. (2017). Electromagnetismlike Mechanism Descriptor with Fourier Transform for a Passive Copy-move Forgery Detection in Digital Image Forensics. 612–619. 5 indexed citations

18.

Uliyan, Diaa, Hamid A. Jalab, Ainuddin Wahid Abdul Wahab, Palaiahnakote Shivakumara, & Somayeh Sadeghi. (2016). A novel forged blurred region detection system for image forensic applications. Expert Systems with Applications. 64. 1–10. 37 indexed citations

19.

Uliyan, Diaa, Hamid A. Jalab, Ainuddin Wahid Abdul Wahab, & Somayeh Sadeghi. (2016). Image Region Duplication Forgery Detection Based on Angular Radial Partitioning and Harris Key-Points. Symmetry. 8(7). 62–62. 31 indexed citations

20.

Uliyan, Diaa, Hamid A. Jalab, & Ainuddin Wahid Abdul Wahab. (2015). Copy move image forgery detection using Hessian and center symmetric local binary pattern. 7–11. 35 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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